Master
Python Courses in Delhi
India’s Only Data Science Training Program created to help you to build a successful career in Data Science from scratch.
Top 10 Python Courses in Delhi With Placement
Data science integrates scientific methods, algorithms, and systems across disciplines to derive insights and knowledge from both structured and unstructured data. It combines various disciplines such as statistics, computer science, and domain expertise to analyze and interpret complex data.
Data science is crucial in today’s data-driven world as it helps organizations make informed decisions, predict trends, improve efficiency, and create innovative solutions to complex problems. For those seeking the best data science training in Delhi, mastering this field opens up numerous opportunities across various industries, providing the skills needed to thrive in a competitive job market.
The importance of Python in data science cannot be overstated. Python is a versatile, high-level programming language that has become the de facto standard for data science due to its simplicity, readability, and extensive library support. A Python course provides the perfect opportunity to learn these skills, offering in-depth knowledge of libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn, which are essential for data manipulation, visualization, and machine learning.
Furthermore, Python’s integration capabilities with other languages and tools, along with its active community and continuous development, ensure that it remains at the forefront of data science innovation. A Python language caters to both beginners and experts, making the language accessible to a wide and diverse user base that continually contributes to its growth. For anyone serious about a career in data science, enrolling in a Python programming course in Delhi is a crucial step towards mastering the field.
A Python course in Delhi offers a comprehensive learning experience for aspiring programmers and professionals looking to enhance their skills in one of the most popular programming languages.
These courses, often provided by reputable institutions and coding academies like Digiperform, cover a wide range of topics from the basics of Python syntax to advanced concepts such as data structures, web development, data science With experienced instructors, hands-on projects, and real-world applications, students gain practical knowledge and the ability to solve complex problems using Python.
Additionally, the vibrant tech community in Delhi provides ample networking opportunities, workshops, and events that further enrich the learning experience. Whether you are a beginner or an experienced coder, a Python course in Delhi can significantly boost your programming capabilities and career prospects.
List: Top 10 Python Courses in Delhi With Placement
| Institute Rank | Name | Training Delivery Type | Offering Course Since | Fees | Placement Assistance |
| 1 | Digiperform- Digital Career Academy | Online & Offline | 2013 | INR 30k-90k | 100%* |
| 2 | Training YA Training Institute In Delhi | Online & Offline | 2009 | Online class fee – 24000 | offline class fee – 30000 | 100% |
| 3 | TGC Animation and Multimedia Private Limited | Online & Offline | 2004 | NA | 100% |
| 4 | Baudh Yantram | Online & Offline | 2017 | NA | 100% |
| 5 | ATH Analytics training hub | Online & Offline | 2017 | 13,000 | 100% |
| 6 | Edu Plus One | Online & Offline | 2019 | 8000 (DIFFER TO SUBJECT) |
100% |
| 7 | Coding Elements | Online | 2019 | 12,000 | 100% |
| 8 | Tech stack | Online | 2014 | Min.11000 | 100% |
| 9 | VSIT.in | Online & Offline | 2009 | NA | 100% |
| 10 | Excel R – Data Science, Data Analyst, Business Analyst Course Training in Delhi |
Online | 2014 | 80000 (ACC.TO COMBOS VARY) |
100% |
Curriculum, Fee and Course Highlights: Top 10 Python Courses in Delhi With Placement
1. DIGIPERFORM
Digiperform stands out as one of India’s foremost training companies specializing in digital skills. A team of over 50 experts in Python programming is dedicated to developing and updating our courses daily. We take into account the opinions and recommendations of 450 experienced professionals from firms all over Asia.
Our curriculum is carefully crafted to cover the essential skills needed for positions in both small and large Python programming agencies, we will ask for companies with in-house Python development teams. At Digiperform , our approach prioritizes hands-on learning, integrating practical exercises, research, and assignments to ensure a thorough and practical educational journey.
Why Choose The Digiperform Online Python Course ?
In India, we are the best python institute in Delhi NCR in Python, designed to prepare you for a successful career as a Python programmer. You will work on over 75 projects and assignments that cover key areas such as statistics, advanced Excel, SQL, Python libraries, Tableau, advanced machine learning, and deep learning.
These tasks are crafted to simulate real-world data challenges across various sectors, including healthcare, manufacturing, sales, media, marketing, and education. This comprehensive training will equip you with the skills needed for more than 30 different roles in the field of Python programming.
Why you should learn python programming language in Delhi
Learning Python in Delhi offers numerous advantages, making it a compelling choice for anyone interested in programming and technology. Delhi, as the capital city of India, provides a unique blend of opportunities, resources, and a thriving tech ecosystem that can significantly enhance your Python programming course in Delhi learning experience.
Here are a few compelling reasons :
A Python course in Delhi with placement
Delhi is a hub for technology companies, startups, and IT services. The city’s vibrant tech ecosystem provides ample opportunities for networking, internships, and job placements. Learning Python in such an environment increases your chances of landing a job in a reputable company or collaborating with innovative startups.
Delhi is hub to some of the best educational institutions in India, including IIT Delhi, Delhi University, and numerous private colleges. These institutions offer excellent computer science programs, workshops, and seminars that can complement your Python learning journey. Additionally, many of these institutions have strong alumni networks that can provide mentorship and career guidance.
Availability of Python Courses:
In Delhi, you can find a wide range of Python courses tailored to different skill levels, from beginner to advanced. Renowned training Centers like NIIT, Ducat, and APTRON offer comprehensive Python courses with hands-on projects and industry-relevant curriculum. These institutions offer excellent opportunities for a Python course in Delhi with placement. Additionally, online platforms like Coursera, edX, and Udemy offer courses from Delhi-based instructors, providing flexibility in learning. Whether you are looking for a beginner’s course or an advanced Python programming course in Delhi, there are plenty of options available.
As a major metropolitan city, Delhi offers access to a plethora of resources for learning Python. You can find libraries, bookstores, and co-working spaces where you can study and collaborate with other learners. Moreover, Delhi’s well-connected public transportation system makes it easy to attend classes, workshops, and networking events across the city.
Python course in Delhi with placement is one of the most sought-after programming languages in the job market. With its applications in web development, data science, artificial intelligence, and automation, Python skills are in high demand. Delhi, being a major economic center, has a high concentration of job opportunities in these fields. Learning Python in Delhi can open doors to lucrative career options in various industries.
Living and learning in python programming course in Delhi provides a rich cultural and social experience. The city’s diverse population, historical landmarks, and vibrant cultural scene offer a unique backdrop to your educational journey. This exposure can broaden your horizons and enhance your overall learning experience.
Learning Python in Delhi offers a multitude of benefits, from access to top-notch educational institutions and a thriving tech ecosystem to ample networking opportunities and a cost-effective learning environment. Whether you are a beginner or an experienced programmer, enrolling in a Python or a Python course provides the perfect setting to master Python and advance your career in the tech industry.
Top 6 Reasons to learn python
Learning Python, one of the most popular and versatile programming languages, can offer numerous advantages for both beginners and experienced programmers. Here are several compelling reasons to consider mastering Python:
Simplicity and Readability
Python’s straightforward and clear syntax makes it a perfect option for those new to programming. Its simplicity allows new programmers to focus on learning programming concepts without getting bogged down by complex syntax rules. The readability of Python code also means that it’s easier to maintain and debug, which is beneficial for experienced programmers working on large projects.
Versatility
Python is a versatile language that can be applied to a variety of purposes and tasks. From web development and data analysis to artificial intelligence and scientific computing, Python’s versatility makes it a valuable tool in various fields. This broad applicability ensures that learning Python can open doors to multiple career paths.
Extensive Libraries and Frameworks
Python offers a vast array of libraries and frameworks that streamline the development process. For web development, frameworks like Django and Flask provide robust tools to build powerful applications. In data science, libraries such as Pandas, NumPy, and Matplotlib offer efficient data manipulation and visualization capabilities. For machine learning and AI, TensorFlow and PyTorch are widely used for developing complex models. These libraries and frameworks accelerate development and reduce the need to write code from scratch.
Community Support
Python has a large and active community of developers who contribute to its growth and provide support to learners. This community-driven approach means that you can find extensive documentation, tutorials, forums, and online courses to help you learn and troubleshoot problems. Platforms like Stack Overflow and GitHub are valuable resources where you can seek advice and collaborate on projects.
Career Opportunities
Python’s popularity in the job market is soaring, with demand for Python developers increasing across various industries. Companies ranging from tech giants like Google and Facebook to startups and financial institutions seek Python programmers for roles in web development, data science, automation, and more. Learning Python can significantly enhance your employability and lead to lucrative career opportunities.
Integration Capabilities
Python can easily integrate with other languages and technologies, making it a great choice for projects that require interoperability. You can use Python to glue together components written in different languages, such as C, C++, or Java, and seamlessly integrate with web services, databases, and other systems. This flexibility allows you to leverage the strengths of multiple technologies within a single project.
Data Science Course Syllabus
Module 1: Introduction to Data Science | Introduction to the Industry & Buzzwords Industrial application of data science Introduction to different Data Science Techniques Important Software & Tools Career paths & growth in data science |
Module 2: Introduction to Excel
| Introduction to Excel- Interface, Sorting & Filtering,
Excel Reporting- Basic & Conditional Formatting
Essential Excel Formulae
Layouts, Printing and Securing Files |
Module 3: Introduction to Stats
| Introduction to Statistics & It’s Applications Different types of Data Population vs Sample Sampling Techniques Intro: Inferential vs. descriptive statistics |
Module 4: Descriptive Stats Using Excel Datasets | Categorical Variables Visualization Using Excel Charts- FDT, Pie Charts, Bar Charts & Pareto Numerical Variables Visualization of Frequency & Absolute Frequency- Using Histogram, Cross Table & Scatter Plot Measure of Spread ( Mean, Mode , Median) Measure of Variance( Skewness, SD, Variance, Range, Coef. Of Variance, Bivariate Analysis, Covariance & Correlation) |
Module 5: Inferential Stats Using Excel Datasets | Introduction to Probability Permutation & Combinations Types of events Normal distribution Standard Normal distribution Normal vs. Standard Normal distribution Confidence Intervals & Z-Score Hypothesis Testing & It’s Types |
Module 6: Database Design & MySQL | Relational Database theory & Introduction to SQL MySQL Installation Database Creation in the MySQL Workbench Querying in MySQL Joins and Set Operations SQL Practice Case Study Window Functions Case Statements, Stored Routines and Cursors Ø Query Optimisation and Best Practices Ø Problem-Solving Using SQL |
Module 7: Data Visualization Using Advanced Excel
| Introduction LOOKUP functions Pivot Tables WHATIF Analysis Dashboard Creation Recording Macros Advanced Visualizations- PIVOT Charts, Sparklines, Waterfall Charts Data Analysis ToolPak – Regression in Excel |
Module 8: Data Visualization Using Tableau | Introduction to Tableau Introduction What is Data Analytics? Why Data Visualisation? What is Tableau? Why Tableau? Tableau vs Excel and PowerBI Exploratory and Explanatory Analysis Getting started with Tableau Visualizing and Analyzing data with Tableau – I Introduction Bar Charts Line Charts and Filters Area Charts Box plots and Pivoting Maps and Hierarchies Pie Charts Treemaps and Grouping Dashboards Visualizing and Analyzing Data with Tableau – II Introduction Joins and Splits Numeric and String functions Logical and Date functions Histograms and parameters Scatter Plots Dual Axis Charts Top N Parameters and Calculated Fields Stacked bar Charts Dashboards – II and Filter Actions Storytelling Summary |
Module 9: Python Programming
| Installing Anaconda & Basics of Python Introduction to programming languages Compiler vs Interpreter Getting Started With Python Introduction to jupyter Notebooks Identifiers, Keywords Print function Comment, Indentation Data Types Functions Understanding what are functions Defining and calling functions Local and global variables Different types of arguments Map,reduce,filter,lambda and recursive functions Data Structures in Python Introduction Lists Tuples Sets Dictionaries Practice Exercise Summary Operator Input and Output Different Arithmetic , logical and Relational operators Input, Output function Eval function Format Function Control Flow If elif else statement For and while loops Break , continue and Pass statement List and dictionary comprehensions Functions Understanding what are functions Defining and calling functions Local and global variables Different types of arguments Map,reduce,filter,lambda and recursive functions File Handling Purpose of file handling Different function in file handling (open,read, write,close) Different modes (r,w,a,r+,w+,a+) With block Exception Handling, OOPX & Regex What is exception handling Try, except, else and finally block Different types of Exception Concept of Oops Different functions in Regex Metacharacters in Regex |
Module 10: Python For Data Science | NumPy Introduction to NumPy Basics of NumPy Operations Over 1-D Arrays Practice Exercise I Multidimensional Arrays Creating NumPy Arrays Mathematical Operations on NumPy Mathematical Operations on NumPy II Computation Times in NumPy vs Python Lists Practice Exercise II Pandas Introduction to Pandas Basics of Pandas Pandas – Rows and Columns Describing Data Indexing and Slicing Operations on Dataframes Groupby and Aggregate Functions Merging DataFrames Pivot Tables Practice Exercise |
Module 11: Data Visualization Using Python- Matplotlib & Seaborn
| Introduction to Data Visualisation with Matplotlib Introduction to Matplotlib The Necessity of Data Visualisation Visualisations – Some Examples Facts and Dimensions Bar Graph Scatter Plot Line Graph and Histogram Subplots Choosing Plot Types Summary Data Visualisation: Case Study Introduction Case Study: Mind Map Case Study Overview Data Handling and Cleaning: I Data Handling and Cleaning: II Sanity Checks Outliers Analysis with Boxplots Histograms Summary Practice Questions Data Visualization with Seaborn Introduction Distribution Plots Styling Options Pie – Chart and Bar Chart Scatter Plots Pair Plots Revisiting Bar Graphs and Box Plots Heatmaps Line Charts Stacked Bar Charts Case Study Summary Plotly Practice Questions |
Module 12: Exploratory Data Analysis | Data Sourcing Module Introduction Introduction to EDA Public and Private Data Private Data Public Data Web Scraping-I Web Scraping-II Summary Data Cleaning Introduction Data Types Fixing the Rows and Columns Impute/Remove Missing Values Handling Outliers Standardising Values Fixing Invalid Values and Filter Data Practice Questions Summary Univariate Analysis Introduction to Univariate Analysis Categorical Unordered Univariate Analysis Categorical Ordered Univariate Analysis Statistics on Numerical Features Graded Questions Summary Bivariate and Multivariate Analysis Introduction Numeric – Numeric Analysis Correlation vs Causation Numerical – Categorical Analysis Categorical – Categorical Analysis Multivariate Analysis Graded Questions Summary Module Summary |
Module 13: Supervised Learning Model - Regression | Introduction to Simple Linear Regression Introduction to Simple Linear Regression Introduction to machine learning Regression line Best fit line Strength of simple linear regression Simple linear regression in python Assumptions of simple linear regression Reading and understanding the data Hypothesis testing in linear regression Building a linear model Residue analysis and predictions Linear Regression using SKLearn Multiple Linear Regression Motivation-when one variable is not enough Moving from SLR to MLR-new considerations Multi collinearity Dealing with categorical variables Model assessment in comparison Feature selection Multiple Linear Regression in Python Reading and understanding the data Data preparation Initial steps Building the model I & II Residue analysis and predictions Variable selection using RFE Industry Relevance of Linear Regression Linear regression revision Prediction versus projection Media company case study Exploratory data analysis Model building - I, II & III Assessing the model Interpreting the results |
Module 14: Supervised Learning Model - Classification | Univariate Logistic Regression Binary classification Sigmoid curve Finding the best fit sigmoid curve - I Finding the best fit sigmoid curve - II Odds and log Odds Multivariate Logistic Regression - Model Building Multivariate Logistic Regression - Model Building Data cleaning and preparation - I & II Building your first model Feature elimination using RFE Confusion metrics and accuracy Manual feature elimination Multivariate Logistic Regression - Model Evaluation Multivariate Logistic Regression - Model Evaluation Metrics beyond accuracy-sensitivity and specificity Sensitivity and specificity in Python Understanding ROC curve ROC curve in python Finding the optimal threshold Model evaluation metrics - exercise Precision and recall Making predictions Logistic Regression - Industry Applications - Part I Getting familiar with logistic regression Nuances of logistic regression-sample selection Nuances of logistic regression-segmentation Nuances of logistic impression-variable transformation-I, II & III Logistic Regression: Industry Applications - Part II Model evaluation - A second look Model validation and importance of stability Tracking of model performance over time Logistic Regression - Industry Applications - Part II Commonly face challenges in implementation of logistic regression Model evaluation - A second look Model validation and importance of stability Tracking of model performance over time |
Module 15: Advanced Machine Learning | Unsupervised Learning: Clustering Introduction to Clustering K Means Clustering Executing K Means in Python Hierarchical Clustering Business Problem Solving Introduction to Business Problem Solving Case Study Demonstrationchurn example Practice Questions Tree Models Introduction to Decision Trees Algorithms for Decision Tree Construction Hyperparameter Tuning in Decision Trees Ensembles and Random Forests Time Series Forecasting - I (BA) Introduction to Time Series Smoothing Techniques Time Series Forecasting - II (BA) Introduction to AR Models Building AR Models Model Selection Principles of Model Selection Model Building and Evaluation |
Module 16: AI- NLP, Neural Networks & Deep Learning | Introduction to NLP What is NLP? History and evolution of NLP Applications of NLP Challenges in NLP Overview of NLP pipeline Corpus and Corpus Linguistics NLTK Toolkit Introduction to the NLTK toolkit Preprocessing text data with NLTK Basic NLP tasks using NLTK (e.g., Part-ofSpeech Tagging, Named Entity Recognition) Stemming and Lemmatization WordNet in NLTK Chunking and Chinking Sentiment Analysis with NLTK Tokenization and Topic Modeling Tokenization in NLP Bag-of-Words representation Topic Modeling with LDA Latent Semantic Analysis Word Embeddings Sentiment Analysis Project: Introduction to Sentiment Analysis Sentiment Analysis using supervised and unsupervised methods Building a Sentiment Analysis model with Python Evaluating Sentiment Analysis models AI vs Deep Learning vs ML Introduction to Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) Applications of AI, ML, and DL Differences between AI, ML and DL The Concept of Neural Networks Introduction to Neural Networks Types of Neural Networks Layers in Neural Networks Activation Functions Neural Networks - Feed-forward, Convolutional, Recurrent Feed-forward Neural Networks Convolutional Neural Networks Recurrent Neural Networks Applications of Neural Networks Deep Learning Project Building a Deep Learning model with Python Image Classification with Convolutional Neural Networks Natural Language Processing with Recurrent Neural Networks |
Data Science Projects and Assignments
Major Projects
Customer Lifetime Value Calculation: The project involves calculating the customer lifetime value using SQL to understand the revenue generated by a customer over their lifetime.
Customer Churn Prediction: This project involves building a predictive model using SQL to identify customers who are likely to churn based on their behavior and transaction history.
Interactive Dashboard for E-Commerce Sales: The project involves creating an interactive dashboard using Tableau & SQL to analyze retail sales data, identify trends, and make data-driven decisions.
Customer Segmentation Dashboard: This project involves creating a customer segmentation dashboard using Tableau to identify customer groups based on demographics, behavior, and purchasing patterns.
Movie Recommendation System: The project involves building a movie recommendation system using Python and its libraries such as Pandas, NumPy, and Scikit-Learn. The recommendation system will suggest movies based on user preferences and ratings.
Sentiment Analysis on Twitter Data: This project involves analyzing Twitter data using Python and its libraries such as NLTK and TextBlob to perform sentiment analysis and understand the overall sentiment of a particular topic.
Visualizing COVID-19 Data: The project involves visualizing COVID-19 data using Python and its libraries such as Matplotlib, Seaborn, and Plotly to understand the impact of the pandemic on different countries and regions.
Visualizing Stock Market Data: This project involves visualizing stock market data using Python and its libraries such as Pandas, Matplotlib, and Bokeh to understand the trends and patterns in stock prices over time.
Airbnb Data Analysis: The project involves performing exploratory data analysis on Airbnb data to understand the patterns in the pricing, availability, and quality of Airbnb listings in different cities.
Bike Sharing Data Analysis: This project involves performing exploratory data analysis on bike sharing data to understand the usage patterns of bikes in different cities and identify factors that influence bike usage.
House Price Prediction: The project involves building a regression model using Python and its libraries such as Scikit-Learn to predict the prices of houses based on their features such as location, size, and amenities.
Credit Risk Prediction: This project involves building a classification model using Python and its libraries such as Scikit-Learn to predict the credit risk of loan applicants based on their credit history and other factors.
Time Series Forecasting for Sales Data: The project involves building a time series forecasting model using advanced machine learning algorithms such as ARIMA and LSTM to predict future sales trends and identify factors that influence sales.
Sentiment Analysis on Product Reviews: The project involves building a sentiment analysis model using NLP techniques such as Word Embeddings and Recurrent Neural Networks (RNN) to analyze product reviews and understand the sentiment of customers towards different products.
Segmentation using Deep Learning: This project involves using advanced deep learning techniques such as Fully Convolutional Networks (FCN) and U-Net to perform image segmentation and identify objects in images.
Machine Translation using Transformers: This project involves building a machine translation model using advanced deep learning techniques such as Transformers to translate text from one language to another.
Case Studies & Assignments:
- Healthcare Customer Feedback Analysis
- Management Teams Dashboard Creation
- Retail Store Sales Report Analysis
- Software Firm Employee Data Analysis
- Industrial Data Sets Classification & Comparison
- Charts & Graphs: Frequency Distribution Table, Pie-charts, Pareto Diagram, Histogram, Scatter Plots, Heatmaps, Bar Graphs and many More.
- Patient Disease Probability Analysis Using Healthcare Data
- Car Model & Menu Item Data Combination & Configuration Probability Analysis
- Manufacturing & Product Launch Data Classification & Analysis
- Customer Complaint Resolution Analysis Using Normal Distribution Curves
- Product Rating & Employee Productivity Analysis Usign Z-Score
- New Product Need Analysis Using Hypothesis Testing
- Inventory Management & Customer Segmentation Systems Using Vlook up & Hlook Lookup
- Sales Trend & Staffing Plan Creation using Pivot Tables
- Pricing Strategy & Financial Model Creation Using What if Analysis
- Sales & Operations Dashboard Creation
- Healthcare & Construction Reporting Automation Using Macros
- Retail Sales Opportunity Analysis Using PIVOT Charts
- Accounting Firm Statement Analysis Using Sparklines & Waterfall Chart
- FMCG Marketing Spend to Sales Revenue Impact Analysis Using Regression Analysis
- Transportation Pricing Model Using Regression Analysis
Data Science Placements
100% * Placement Assistance Dedicated Placement Cell To Help You Land Your Dream Job
Data science course fees
Master Program in Data Science Fees: 30k-90k
Contact Information
Digiperform Corporate Office: C-30, Third Floor, Sector-2, Near Sec-15 Metro Station, Noida, Uttar Pradesh 201301, India
Email: contact@digiperform.com
Phone: +91-966 -755-1500
Website: www.digiperform.com
2. Training YA
Training YA is a one-point solution for all training needs, treating its clients with personalized training over the years to help them explore the world of opportunities.
Training YA has a long and proud history as an independent placement consultant since 2009. The institute has been a ray of hope in the lives of numerous clients, toiling long hours to achieve this milestone.
Training YA is like a magical wand that turns dreams into reality by guiding individuals on the right path. It helps clients reinvent themselves with specialized courses in personality development, English language, and data science.
Training YA believes in continuous learning and growth, with a forte in grooming the right talent.
Training experts utilize their rich experience to handhold clients, providing them with the right tips, tricks, and techniques to survive in the competitive job market.
Moreover, experienced trainers mentor clients in making better business decisions, thereby paving the way for a more prosperous future.
Course curriculum
- DS.BA INTEGRATED
- DATA SCIENCE USING SPSS
- DATA SCIENCE WITH MACHINE
- TABLEAU VISUALIZATION
- R ANALYTICS WITH ML
- PYTHON ANALYTICS WITH ML
- BUSINESS ANALYTICS WITH TABLEAU
- SQL (STRUCTURED QUERY LANGUAGE)
- POTHEYR
- BIG DATA & HADOOP
- VBA EXCEL
- QLICKVIEW
- ALTERYX
- ADVANCE EXCEL
| Name | TRAINING YA |
| Course Duration | 3 to 6 months |
| Website | https://www.trainingya.com/ |
| Address: | 0117, 2nd Floor, Adjacent stairs of Phase II, Below Rapid Metro station. Opposite Knite Ryder Lounge. Near cyber city building no 5. Gurugram Haryana 122002 |
| Fees: | Online class fee – 24000 | offline class fee – 30000 |
| Avg. Google Rating | 4.6 ( 94 ) |
| Offering Data Science Training in Delhi Since | 2009 |
| Branches in India: | 1 |
| Flagship Course Names | N/A |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online/Offline |
3. TGC ANIMATION AND MULTIMEDIA PRIVATE LIMITED
Pythontraining.net is a leading training institute offering courses in Core and Advanced Python, web programming in Django, machine learning, artificial intelligence, data analytics, data visualization, deep learning, and more. They train students pursuing BTech and anyone passionate about learning to code. PTN also covers the CBSE syllabus for Python. Our training is available both on weekdays and weekends, with live virtual online sessions. They conduct workshops in IT colleges and offer corporate training in the Python domain.
They have a course which is the most comprehensive Python training institute in Delhi online course. It aims to familiarize students with Python dictionaries, syntax, and functions, enabling them to use Python for web applications in CGI programming, database operations with MySQL and PostgreSQL, scripting for software like Autodesk Maya, game development, and artificial intelligence.
Course curriculum
- Advanced Certification in Data analytics
- Python on Classes For 11th
- Python on Classes For 10th
- Advanced Certification in Python, Data analysis, Data Visualization, machine learning
- on for Tech Graduates
- Data Analytics
- Data Analytics and visualization
- Tableau (Data Visualization)
- Django
- on with MongoDB
- AWS for the Cloud Practitioner and Associate
- R Programming
- Hadoop
| Name | TGC ANIMATION AND MULTIMEDIA PRIVATE LIMITED |
| Course Duration | 3 to 6 months |
| website | https://www.pythontraining.net/ |
| Address: | North Delhi 365, Top floor, Kohat Enclave, (Kohat Metro Station), Pitampura, Delhi-110034 Call: 9910667099 |
| Fees: | NA |
| Avg. Google Rating | 4.6(181) |
| Offering Data Science Training in Delhi Since | 2004 |
| Branches in India: | 5 [ east Delhi, north Delhi , south Delhi , Faridabad , Jaipur ] |
| Flagship Course Names | Corporate trainings |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online/Offline |
4. Baudhyantram
BaudhYantram Institute, your premier destination for mastering Python programming in Delhi At Baudhyantram, they are dedicated to providing top-notch education and training in Python, a versatile and powerful programming language used in various industries, including web development, data science, artificial intelligence, and more.
Their comprehensive Python course is designed for learners of all levels, from beginners to advanced programmers. With a curriculum crafted by industry experts, our course covers everything from the basics of Python syntax to advanced topics like machine learning, data analysis, and automation.
| Name | Baudhyantram |
| Course Duration | NA |
| website | https://baudhyantram.com/index.php/about |
| Address: | H 82 First Floor, Opposite Bengali Street center South Ex 1, Delhi, 110049 |
| Fees: | NA |
| Avg. Google Rating | 4.7(111) |
| Offering Data Science Training in Delhi Since | 2019 |
| Branches in India: | 2 [ Shimla & Delhi ] |
| Flagship Course Names | NA |
| Exclusive Data Science Institute: | NO |
| Training Delivery Model | Online/Offline |
5 . ATH ANALYTICS TRAINING HUB
Analytics Training Hub, a premier institution dedicated to equipping you with the skills and knowledge needed to excel in the dynamic field of data analytics and related technologies. Our comprehensive range of courses is designed to cater to diverse learning needs, from high school students to tech graduates and industry professionals.
At Analytics Training Hub, they pride themselves on our experienced trainers, state-of-the-art curriculum, and flexible learning options. Whether you prefer weekday or weekend classes, in-person sessions, or live virtual training, they have you covered. They also offer workshops in IT colleges and corporate training tailored to your organization’s needs.
Analytics Training Hub and embark on a journey to unlock new career opportunities and achieve your professional goals. Contact us today to learn more about our courses and schedule a free trial session with our expert trainers. Our fees are competitive and designed to provide excellent value for your investment in education.
Course curriculum
- Advanced Certification in Data analytics
- Python on Classes For 11th
- Python on Classes For 10th
- Advanced Certification in Python
- Data analysis
- Data Visualization, machine learning
- Data Analytics
- Data Analytics and Visualization
- Tableau (Data Visualization)
- Django
- AWS for the Cloud Practitioner and Associate
- R Programming
- Hadoop
| Name | ATH ANALAYTICS TRAINING HUB |
| Course Duration | 3 to 6 months |
| website | https://analyticstraininghub.com/ |
| Address: | Delhi Analytics Training Hub, B1/H3, MOHAN CO-OPERATIVE, Mathura Rd, Industrial Area, BLOCK B, New Delhi, Delhi 110044 |
| Fees: | 13,000 |
| Avg. Google Rating | 4.9 (395) |
| Offering Data Science Training in Delhi Since | 2017 |
| Branches in India: | 1 |
| Flagship Course Names | NA |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online/Offline |
6. Edu Plus One
They are top Python training institute in Delhi online providers in emerging technologies, offering quality courses in C, C++, Java, Python, Data Analytics with Python, Cloud Computing, DBMS, MySQL, Web Development, and consultancy. Our skill enhancement programs help you build a solid foundation for entering the IT or analytics industries.
Edu Plus One is a team of experienced professionals and educators dedicated to preparing young minds for the 21st century by providing skills and knowledge for employment and career growth.
Our self-paced programs feature small class sizes and one-on-one counselling. They include hands-on sessions and practice assignments using real-life examples to ensure thorough learning.
They have trained students from many prestigious universities and colleges in India and abroad, such as IIT Kanpur, IIIT Delhi, NSUT Delhi, DTU Delhi, Thapar Institute of Technology, BITS Pilani, University of Guelph, Hull University, University of Waterloo in Canada, Pennsylvania State University, and Purdue University.
Course curriculum
- Programming in C
- Language
- Object Oriented
- Programming with C++
- Data Structure with Python,
- Java, C, C++,
- Object Oriented
- Programming with Java
- Python Programming
- Powerful Data Analytics
- With Python
- Data Base Management
- system (DBMS)-MYSQL
- web Designing – HTML
- CSS & JavaScript.
- Programming With R
- Django web Framework
| Name | Edu Plus One |
| Course Duration | 6 weeks |
| website | https://www.eduplusone.com/ |
| Address: | 405,Gangotri Apartment DDA SFS, Sector 12, Pocket I, Dwarka, Delhi, 110078 |
| Fees: | 8000 ( python only ) |
| Avg. Google Rating | 4.8(160) |
| Offering Data Science Training in Delhi Since | 2019 |
| Branches in India: | 1 |
| Flagship Course Names | NA |
| Exclusive Data Science Institute: | No |
| Training Delivery Model | Online/Offline |
7. CODING ELEMENTS
Coding Elements is fostering the next generation of coders poised to transform their cities, countries, and the world. By curating top-tier curricula in high-demand fields like machine learning, data science, and full-stack development, and incorporating industry insights, Coding Elements ensures a comprehensive learning experience. Their online and in-person courses have garnered positive reviews from thousands of students and have facilitated meaningful employment opportunities for hundreds.
Course curriculum
- Python for Data Science
- Data Science Course
- Scaler Academy Course
- Full Stack Course
- web Development Course
- System Design Course
- Data Structures and Algorithms Course
- Machine Learning and Deep Learning
- Data Science with R and Python – Online
- Mobile App Development with React
- Full Stack web and Mobile App Development
- Coding Interview Preparation
- Increase Workplace Productivity
| Name | Coding Elements |
| Course Duration | 3 MONTHS |
| website | https://www.codingelements.com |
| Address: | H-10 Express Arcade ( suite 106 ),Netaji Subhash place, New Delhi 110034 |
| Fees: | ₹12,000 |
| Avg. Google Rating | 4.6 |
| Offering Data Science Training in Delhi Since | 2019 |
| Branches in India: | 1 |
| Flagship Course Names | NA |
| Exclusive Data Science Institute: | YES |
| Training Delivery Model | Online |
8. Tech stack
Tech stack Academy (Reye din Tech stack Pvt . Ltd), based in Delhi-NCR, offers a wide range of courses designed to enhance and upgrade students’ skills in their chosen fields. Established in 2012, our institute has over a decade of experience in the industry.
Throughout our 10+ years in operation, they have expanded our curriculum to include comprehensive training in Cyber Security and Full-Stack Development. They are proud to be affiliated with several notable companies, including India and E-dinero Group.
Tech stack Academy equips students with comprehensive knowledge, guiding them from the basics to unlocking global opportunities.
In addition to valuable hands-on training for career growth, they offer online training with flexible scheduling, including both weekday and weekend batches. Conducted in a structured and live environment, trainees gain access to practical application opportunities, enabling them to practice and apply their acquired skills effectively.
Course curriculum
- Digital Marketing Course
- Data Science Course
- Artificial Intelligence Course
- Business Analytics Course
- Machine Learning Course
- web Designing Course
- Full-Stack web Development Course
- Graphic Designing Course
- Video Editing Course
- Big Data Hadoop Course
- App Development Course
- Python Course
- Java Course
| Name | Tech stack |
| Course Duration | 6 months |
| website | https://www.techstack.in |
| Address: | 4th Floor, plot 7, Lane 2, Behind Saket Metro Gate, 2, westen Marg, Saiyad Ul Ajaib, Sainik Farm, New Delhi, Delhi 110030 |
| Fees: | Starting 11000 |
| Avg. Google Rating | 4.6 |
| Offering Data Science Training in Delhi Since | 2012 |
| Branches in India: | 1 |
| Flagship Course Names | NA |
| Exclusive Data Science Institute: | yes |
| Training Delivery Model | Online/Offline |
9. VSIT
Training at VSIT is structured with a strong emphasis on projects. From the outset, they ensure that students receive both conceptual and theoretical knowledge, along with practical skills. Additionally, they prepare our students for job interviews by providing interview handling tips and ensuring they have a clear understanding of all concepts.
Placement Policy
At VSIT, they have partnerships with various software organizations and conduct on-campus interviews and bootcamps. Our job-oriented courses include interview preparation classes. They also guide students in building strong portfolios and resumes to enhance their placement opportunities. Additionally, they offer regular workshops on personality development and soft skills to give students an edge during interviews.
Eligibility Criteria:
- Minimum 90% attendance
- At least 60% marks on three quizzes held after each module
- Timely submission of all assigned projects
- Successful completion of regular mock interview rounds on campus
Course curriculum
- Java Training
- J2EE Training
- Android Training
- Python Training
- MVC Training
- .Net Training
- Angular JS Training
- web Designing
- SQL Training
- SEC) Training
- Digital Marketing
- C Language Training
- C++ Training
- Bootstrap Training
- HTML5/CSS3
| Name | VSIT |
| Course Duration | 40 Hrs. |
| website | https://vsit.in/ |
| Address: | A-66, 2nd & 3rd floor, Sector 7, Dwarka , New Delhi-110075 |
| Fees: | According to course |
| Avg. Google Rating | 4.7 (299) |
| Offering Data Science Training in Delhi Since | 2009 |
| Branches in India: | 1 |
| Flagship Course Names | Na |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online/Offline |
10. Excel R
If you are serious about a career in Data Science, Excel R is an ideal choice for training. They are recognized as one of the top institutes for Data Science training, having successfully launched thousands of careers with leading companies in India and abroad. Our specialty lies in guiding you from training to job placement, providing continuous support until you secure a position. Our experienced trainers are dedicated to enhancing your understanding of Data Science concepts, assisting with assignments and live projects.
Excel R boasts a dedicated placement cell and partnerships with over 150 corporations, ensuring ample interview opportunities and placement assistance. They are the preferred training provider for Data Science at five universities and more than 40 prestigious educational institutions including IIMs, BITS Pilani, and others worldwide. Our faculty comprises Data Scientists with over 15 years of industry experience, many of whom are alumni of top institutes like IITs, ISB, and IIMs, with some holding PhDs. Excel R’s certification is highly regarded in the Data Science field due to exceptional faculty
Excel R ranks among the top 10 Python training institutes in Delhi and is also a consulting firm headquartered in Houston, Texas, USA. They specialize in meeting the specific needs of students, professionals, corporations, and educational institutions across various locations worldwide. To better serve our global clientele, Excel R has established offices in key strategic locations such as Australia, Malaysia (for the ASEAN market), Canada, the UK, and Romania (addressing Eastern Europe and South Africa).
Course curriculum
- Data Science Programs
- Data Analytics Programs
- Artificial 19 intelligence
- Cloud Computing
- Gen
- Software Testing
- Software Development
- Project Management Certifications
- Digital Marketing Programs
- Data Visualization Programs
- Technical Courses
- ITIL@ Certification Training
- PRINCE2 Certifications
- Lean Six Sigma Certification Training
- Tools Training
- Online Trainings
- Certified Scrum Master (CSM)
- Industrial Revolution 4.0/ IR 4.0/ Industry
- Augmented Reality (AR) & Virtual Reality
- Internet Of Things (IOT)
- Agile PM Certification (DSDM Atern)
- Robotic Process Automation Training
- Blockchain Course Training Program
| Name | Excel R |
| Course Duration | 6 month |
| website | https://www.excelr.com/ |
| Address: | M 130-131, Inside ABL Work Space, Second Floor, Connaught Cir, Connaught Place, New Delhi, Delhi 110001 |
| Fees: | ₹ 84999 (according to combos) |
| Avg. Google Rating | 4.4 (345) |
| Offering Data Science Training in Delhi Since | 2014 |
| Branches in India: | More than 10 |
| Flagship Course Names | NO |
| Exclusive Data Science Institute: | YES |
| Training Delivery Model | Online/Offline |
What is Python Language
Python is a high-level, interpreted language celebrated for its simplicity and readability. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability and simplicity, making it an ideal language for beginners and experienced programmers alike. It embraces various programming paradigms, such as procedural, object-oriented, and functional programming.
Importance of Python language
Python’s growing popularity makes it a highly valuable skill in today’s job market. It is widely used in industries such as web development, data science, machine learning, automation, and more, offering numerous career opportunities.
Python easily integrates with other languages and technologies. It can be embedded within C/C++ programs, and it supports interfacing with Java, .NET, and other languages, enhancing its utility in diverse technological environments.
Python’s straightforward syntax mimics natural language, making it easy to read and write the barrier to entry for new programmers and allows experienced developers to focus on solving problems rather than struggling with complex syntax.
Python finds utility across diverse applications, spanning from web development and data analysis to artificial intelligence and scientific computing. Its extensive standard library and the availability of third-party packages make it adaptable to many tasks.
Python offers a robust ecosystem of libraries and frameworks, including NumPy, Pandas, Matplotlib, Django, Flask, and TensorFlow. These tools simplify development processes and enhance productivity by providing pre-built functionalities.
Python has a large and active community that contributes to its continuous improvement and provides extensive resources, such as documentation, tutorials, and forums. This community support makes it easier for developers to find solutions and stay updated with the latest trends.
A key element of digital marketing tactics is search engine optimization (SEO), which aims to raise a website’s exposure, authority, and position on search engine results pages (SERPs). This entails optimising a number of components, including as metadata, keywords, and content, in order to increase organic traffic and draw in targeted users.
Furthermore, SEO helps users assess the legitimacy and dependability of websites because they are generally regarded as more authoritative and trustworthy when they rank highly in search results. This may lead to higher click-through rates, better user interaction, and eventually higher rates of revenue and conversion.
All digital marketing strategies are essentially built on search engine optimization, or SEO. It assists organisations in attaining long-term success in the fiercely competitive online environment by increasing their online presence and effectively reaching their intended audience.
Career In Python Course In Delhi
The career scope of Python in Delhi is vast and promising, driven by the city’s dynamic tech ecosystem, educational institutions, and thriving industries. Here is an in-depth look at the career opportunities and placement potential for Python developers in Delhi:
Tech Giants and Startups
Delhi is home to numerous tech giants, multinational corporations, and innovative startups. Companies like Google, IBM, Accenture, and TCS have significant operations in the city and often seek skilled Python developers. Additionally, Delhi’s vibrant startup ecosystem offers exciting opportunities to work on cutting-edge projects in a dynamic environment. Startups in fintech, health tech, edtech, and e-commerce are particularly keen on hiring Python experts to drive their technology initiatives.
Data Science and Analytics
With the growing importance of data-driven decision-making, the demand for data scientists and analysts proficient in Python is skyrocketing. Python’s robust libraries for data manipulation and analysis, such as Pandas, NumPy, and Matplotlib, make it a preferred language in this field. In Delhi, companies and research institutions actively seek Python-trained professionals to extract insights from large datasets, develop predictive models, and support business intelligence efforts.
Artificial Intelligence and Machine Learning
Delhi is a hub for AI and machine learning research and development. Python’s powerful libraries like TensorFlow, Keras, and Pytorch are extensively used for building AI models. Companies in sectors like finance, healthcare, and retail leverage AI to enhance their services and products. Python developers with expertise in AI and machine learning are in high demand to create innovative solutions that drive business growth and improve efficiency.
Web Development
Python’s frameworks, such as Django and Flask, are popular choices for web development due to their scalability and ease of use. In Delhi, web development agencies, IT consultancies, and independent businesses are constantly looking for Python developers to build and maintain web applications. This demand ensures a steady stream of job opportunities for those skilled in Python web frameworks.
Training and Freelancing Opportunities
Given the high demand for Python skills, there are ample opportunities for Python experts to become trainers and educators. Many training institutes and online platforms in Delhi hire Python instructors to teach aspiring programmers. Additionally, Python developers can explore freelancing opportunities, offering their services to clients worldwide and working on diverse projects from the comfort of their homes.
Competitive Salaries and Growth
Python developers in Delhi can expect competitive salaries that reflect the high demand for their skills. Entry-level positions offer attractive starting salaries, and with experience, professionals can command even higher pay scales. The career growth trajectory for Python developers is robust, with opportunities to advance into senior roles, lead projects, and transition into specialized fields like data science and AI.
Strong Placement Support
Many educational institutions and training centers in the Python course in Delhi provide strong placement support for their students. They collaborate with top companies, organize job fairs, and offer career counselling services. This support significantly enhances the chances of securing a job upon completing Python training programs.
The career scope for Python course in Delhi is expansive and full of potential. With the city’s thriving tech ecosystem, diverse industries, and strong placement support, Python learners can look forward to numerous rewarding career opportunities.
Top 6 Advantages After Learning Python and Its Tools
Mastering a Python course in Delhi and its associated tools equips you with a powerful skill set that is applicable across a wide range of industries and roles. The advantages of learning these tools extend beyond technical proficiency, enhancing your problem-solving abilities, employability, career growth, and productivity. Whether you’re aiming to enter the fields of data science, web development, machine learning, or automation, Python’s extensive ecosystem of tools provides the foundation you need to succeed.
Enhanced Problem-Solving Skills: Mastering Python tools enhances your ability to solve complex problems by providing powerful methods to manipulate, analyse, and visualize data. This skill is crucial in fields such as data science, finance, and engineering.
Increased Employability: Proficiency in Python and its tools makes you a highly attractive candidate for a wide range of roles, including data analyst, data scientist, machine learning engineer, web developer, and more. Many companies prioritize Python skills due to the language’s versatility and widespread use.
Career Advancement: Professionals with advanced Python skills can advance to higher positions such as senior data scientist, lead developer, AI specialist, or project manager. Mastery of Python tools also open up opportunities for specialization in areas like artificial intelligence, machine learning, and data engineering.
Efficient Data Handling: Tools like Pandas and NumPy allow for efficient data manipulation and analysis, making it easier to handle large datasets and perform complex calculations. This efficiency is crucial for making data-driven decisions in business and research.
Robust Data Visualization: With libraries like Matplotlib and Seaborn, you can create compelling visualizations that help in interpreting data and presenting insights clearly. Good data visualization skills are vital for communicating findings to stakeholders and making informed decisions.
Automation and Productivity: Python’s automation capabilities, through tools like Selenium and scripting, can streamline repetitive tasks and increase productivity. This is beneficial in many industries where automation can save time and reduce errors.
Mastering Python Tools
Mastering Python and its associated tools can open numerous opportunities and provide significant advantages in various fields. Mastery of Python course in Delhi such as Python and proficiency with data analysis tools, and familiarity with machine learning libraries can significantly enhance your earning potential. Specialization in specific domains also plays a crucial role.
Here is a comprehensive look at why mastering Python tools is beneficial:
Python Tools and Libraries to Master
Jupiter Notebook
Usage : An interactive web-based environment for data analysis and visualization.
Advantages: Ideal for data science, it allows you to create and share documents containing live code, equations, visualizations, and narrative text.
NumPy
Usage: Fundamental package for numerical computing in Python.
Advantages: Provides support for arrays, matrices, and a collection of mathematical functions to operate on these data structures efficiently.
Pandas
Usage: Data manipulation and analysis library.
Advantages: Facilitates data cleaning, preparation, and analysis with its powerful data structures like Data Frames.
Matplotlib and Seaborn
Usage: Libraries for data visualization.
Advantages: Enable the creation of static, interactive, and animated visualizations, helping to understand data patterns and insights.
Scikit-learn
Usage: Machine learning library.
Advantages: Provides simple and efficient tools for data mining and data analysis, enabling you to build predictive models and analyze their performance.
Python Salaries for Freshers in Delhi
A table summarizing key details of job title and salary Overview for freshers in Delhi and showing required skills for job profiles
| Job Profile | Average Salary (INR/Year) | Key Responsibilities | Skills Required |
| Junior Python Developer | 2,50,000 – 4,00,000 | Writing and maintaining code, debugging, and learning from senior developers | Python, Basic SQL, Version Control |
| Python Developer | 3,00,000 – 5,00,000 | Writing reusable, testable, and efficient code | Python, Django/Flask, SQL, REST APIs |
| Backend Developer | 3,50,000 – 5,50,000 | Developing server-side logic, ensuring high performance and responsiveness | Python, Django/Flask, SQL, API Development |
| Machine Learning Engineer (Entry-Level) | 4,00,000 – 6,50,000 | Building and deploying machine learning models, data preprocessing | Python, scikit-learn, TensorFlow, Data Analysis |
| Data Analyst | 3,50,000 – 5,50,000 | Analysing data sets, generating reports, and data visualization | Python, Pandas, NumPy, Data Visualization Tools |
| web Developer | 3,00,000 – 5,00,000 | Developing and maintaining websites | Python, HTML, CSS, JavaScript, Django |
| Software Engineer | 3,50,000 – 5,50,000 | Designing and developing software applications | Python, Algorithms, Data Structures |
| Automation Tester | 3,00,000 – 4,50,000 | Writing and executing automated test scripts | Python, Selenium, Testing Frameworks |
| DevOps Engineer | 4,00,000 – 6,00,000 | Managing CI/CD pipelines and automation tools | Python, Jenkins, Docker, Kubernetes |
| Data Scientist | 4,50,000 – 7,00,000 | Extracting insights from large data sets | Python, Machine Learning, Data Analysis |
Current Job Openings in Python in Delhi
Exploring job opportunities in Python programming in Delhi, here is some good news – there is a plethora of openings eagerly awaiting skilled individuals like yourself Numerous companies are actively seeking Python developers to build and maintain robust applications. Whether your expertise lies in coding, web development, or crafting automation scripts, there is a job tailored for you.
From well-established tech companies to dynamic startups, the city’s job market is brimming with potential. So, if you are prepared to dive into the Python programming realm, Delhi presents an open door to promising career prospects. You can explore job listings on websites like Naukri.com, Linkedin.com, Indeed.com, and more.
FAQs: Python Course in Delhi
What sets apart Digiperform Data Science courses from others in the market?
Digiperform Data Science courses distinguish themselves in the market through several unique features. To begin with, the curriculum is expertly designed, incorporating the latest industry trends and technologies to ensure that students gain current and relevant knowledge. Furthermore, the courses focus heavily on practical, hands-on learning, enabling participants to apply theoretical concepts in real-world situations. Digiperform also incorporates industry-specific case studies and projects, offering a thorough understanding of data science applications across various fields. Additionally, the presence of experienced instructors and personalized mentorship enhances the learning experience, Digiperform Provides the best Python course in Delhi NCR, a standout provider of quality education in Data Science.
What type of assistance do students enrolled in Digiperform Data Science course receive both during and after the program?
Digiperform is committed to providing comprehensive support for our Data Science students. During the program, you will benefit from the guidance of experienced mentors, engage in live sessions, and learn in a collaborative environment. After completing the course, you will have access to our alumni network, receive assistance with job placement, and stay informed about the latest industry trends. This ongoing support ensures you are well-prepared and confident as you embark on your Data Science career.
What certifications are provided upon the successful completion of a Data Science course at Digiperform?
After successfully completing a Data Science course at Digiperform, you will receive an industry-recognized certification that validates your expertise in Data Science. These certifications enhance your appeal in the job market by showcasing your proficiency. Our courses are frequently updated to align with current industry standards, ensuring that your data science certification remains relevant and highly valued.
How can I keep myself informed about the most recent advancements in Data Science after finishing a course with Digiperform?
Digiperform cultivates a culture of continuous learning. After completing your python course, you will have access to our alumni network, exclusive webinars, and regularly refreshed content. Our blog and social media channels provide a steady stream of valuable insights, keeping you updated on the latest advancements and trends in the dynamic field of Data Science.
