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Data Science Courses in Delhi
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Top 15 Data Science Courses in Delhi
Welcome to our list of the Top 15 Data Science Course Institutes in Delhi!
Delhi, the throbbing capital of India, is an exciting mix of history, culture, and modernity. Delhi is a testament to hundreds of years of civilization due to its rich history, including landmarks like the Red Fort, Qutub Minar, and India Gate. But Delhi is more than just a cultural center in the current landscape; it’s also an innovative center for technology and innovation.
Data science has become an important area of interest to Delhi over the past years. Data science is playing a key role in the analysis of vast quantities of information to provide real insights, as cities become immersed in this Digital Age. Data science is changing the way people live in Delhi, from optimising traffic flows to improving health care.
Data science technologies are increasingly used by government agencies, businesses, and research facilities to make decisions that take into account the various aspects of the quality of life in this lively city. It is a city’s ability to seamlessly mix tradition with cutting-edge technologies, for the benefit of its citizens, that displays synergy between Delhi’s historic charm and data-driven future.
This article will talk about the Top 15 Data Science Course in Delhi , why these courses are important, and the benefits of taking them in Kochi, India so let’s start.
Comparison Chart: Top 15 Data Science Courses in Delhi with Placement.
If you are looking for the best and most reliable information regarding Data Science course in Delhi NCR, then you have come to the right place.
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 |
Analytic Square | Online & Offline | 2012 | INR 25000 | 100% |
3 | Datamites | Online & Offline | 2011 | INR 76,928 | 100% |
4 | SLA Institute | Online & Offline | 2011 | INR 30000 | 100% |
5 | XL Academy | Online | 2012 | INR 17,500 | 100% |
6 | AnalytixLabs | Online & Offline | 2011 | INR 580000 +GST | 100% |
7 | Excelr | Online & Offline | 2013 | INR 54999 | 100% |
8 | PST Analytics | Online | 2011 | INR 60000 | 100% |
9 | ProSchool | Online & Offline | 2010 | INR 12.5 K – 4.5 L | 100% |
10 | Skill Circle | Online & Offline | 2014 | INR 59,999 + GST | 100% |
11 | PORT LEARN | Online & Offline | 2015 | INR 25000 | 100% |
12 | 4Achievers | Online & Offline | 2014 | INR 49,999 + GST | 100% |
13 | Uncodemy | Online & Offline | 2015 | INR 40000 +GST | 100% |
14 | Console Flare | Online & Offline | 2019 | INR 35000 | 100% |
15 | DexLab Analytics | Online & Offline | 2012 | INR 18500 | 100% |
What is Data Science and its Importance?
In order to gain valuable insights and knowledge from large and complex datasets, Data Science is an area of multidisciplinary research combining techniques in statistics, mathematics, or computer science. For the purpose of detecting patterns, trends, and correlations it involves a range of procedures such as data cleaning, analysis, and interpretation.
The ability to enable informed decision-making across the different sectors is a crucial element of data science. By exploiting the full power of data, organizations are in a better position to compete, optimize their activities, improve customer experience, and innovate at an unprecedented level.
Data science is, in essence, a transformative force that enables us to transform raw information into effective intelligence which shapes the future of companies and drives developments in technology and society.
Top 15 Data Science Courses in Delhi
1. Digiperform
Digiperform is one of India’s largest training companies with a focus on digital skills. A team of over 50 digital marketing experts is putting together and updating our courses on a daily basis. We’re going to take into account 450 experienced professionals from firms all over Asia who have sent us their opinions and recommendations.
Our curriculum is carefully crafted to cover the essential skills needed for positions in both small and large Data Science agencies, as well as for companies with in-house Data Science teams. At Digiperform, we emphasize a hands-on learning approach by integrating practical exercises, research, and assignments to provide a comprehensive and practical learning experience.
Why Choose Digiperform Online Data Science Course?
In India, we offer the best training program in data science, which aims to prepare you for your career as a data scientist. You will work on 75+ projects and assignments that cover statistics, advanced Excel, SQL, Python libraries, Tableau, Advanced Machine Learning as well as Deep Learning. These tasks are designed to simulate real-world data problems in a variety of sectors, such as health care, manufacturing, sales, media, marketing, and education. You’ll learn more than 30 different roles this training will prepare you for.
Data Science Online Course: Advantages
There are a lot of advantages to enrolling in online data science courses. First of all, you can learn right here at home, saving time and money on travel. These courses tend to have flexible schedules, which allow you to study when it suits you best. They’ll give you a lot of tools like videos and interactives to help with your studies. In order to ask questions or get help, you may also be able to talk with fellow students and experts on the Internet.
Career Support
- Cutting-edge educational material including presentations, documents, PDFs, exercises, quizzes, and projects, meticulously crafted to meet global standards.
- Highly skilled trainers with an average of over 8 years of experience in leading industries.
- Personalized career guidance with continuous online support and weekly doubt-clearing sessions provided by our experts.
- Access to learning management system (LMS) for round-the-clock availability of lectures and training resources.
- Tailored preparation for various data science job interviews to meet specific role requirements.
- Guaranteed assistance for job placement through our dedicated placement cell, ensuring you secure your desired career opportunity.
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: +91-8527-611-500
Website: www.digiperform.com
2. Analytic Square
Since 2012, Analytic Square has been at the forefront of data science education. The institution, known for its excellence in high-quality training programs which are carefully developed and delivered by professionals from the industry, has made it internationally recognized not just as one of India’s foremost Analytics Training Institutes but also because of its great track record and student satisfaction.
Graduates of Analytic Square have found placements in prestigious companies spanning various industries, including but not limited to Accenture, American Express, NatWest, State Street, Bank of America, and McKinsey. In particular, our aim is to give students both basic and advanced data science skills that enable them to become highly qualified Data Science professionals who are ready for work in this sector.
Course Curriculum:
- Introduction to Data Science Course
- Python Programming for Data Science
- Data Analysis and Cleaning
- Data Visualization
- Machine Learning Algorithms
- Deep Learning
- Big Data and Hadoop
- Data Science Project Management
Course Highlights:
- Industry Expert Trainers
- Online Support
- live classes
- Flexible Learning
- Lifetime Access
Name | Analytic Square |
Course Duration | 3 months |
Website | https://analyticsquare.co.in/ |
Address: | Metro Station, C-93, Raja Garden, Near Rajouri Garden Metro Station & Handa Nursing Home, near Rajouri Garden, New Delhi, Delhi 110027 |
Fees: | INR 25000 |
Avg. Google Rating | 4.7 (142) |
Offering Data Science Training in Delhi Since | 2012 |
Branches in India: | 1 |
Flagship Course Names | N/A |
Exclusive Data Science Training Institute: | Yes |
Training Delivery Model | Online/Offline |
3. Datamites
DataMites is one of the leading training providers, which offers a broad range of educational courses that can be cost-effective, quality, and real-time in an emerging field of Analytics. In the areas of Data Science, Machine Learning, Data Mining, Tableau Assistant, Text Mining, Python Programming, Deep Learning, and MiniTab we have specialization courses. DataMites was founded with the clear objective of creating professionals capable of valiantly managing the complexity of competition analysis.
In order to improve the knowledge given to candidates attending this training, our courses are expertly prepared and updated by experts experienced in a well-constructed environment and with an industrial background. We have become one of the best trainers in our field because we offered data science training institute in Delhi for quality training at a low cost. One of the key features of our training is to provide tailored solutions for trainees, in line with their needs.
Course Curriculum:
- PYTHON FOUNDATION – 6 MODULES
- DATA SCIENCE FOUNDATION – 7 MODULES
- MACHINE LEARNING EXPERT – 12 MODULES
- ADVANCED DATA SCIENCE – 8 MODULES
- VERSION CONTROL WITH GIT – 6 MODULES
- BIG DATA FOUNDATION – 6 MODULES
- CERTIFIED BI ANALYST – 6 MODULES
- DATABASE: SQL AND MongoDB – 7 MODULES
- ARTIFICIAL INTELLIGENCE FOUNDATION – 6 MODULES
Course Highlights:
- 25 Capstone & 1 Client Project
- Internship + Job Assistance
- 365 Days Flexi Pass + Cloud Lab
Name | Datamites |
Course Duration | 8 months |
Website | https://datamites.com/ |
Address: | Hustle Cowork, Plot No 12, First Floor, Hargobind Enclave Karkardooma, Anand Vihar, New Delhi, Delhi, 110092 |
Fees: | INR 76,928 |
Avg. Google Rating | 4.9 (82) |
Offering Data Science Training in Delhi Since | 2011 |
Branches in India: | Chennai, Bangalore, Hyderabad, Pune |
Flagship Course Names | N/A |
Exclusive Data Science Training Institute: | Yes |
Training Delivery Model | Online/Offline |
4. SLA Institute
For short-term certificate courses, the top IT and nonIT training institutions in India are named SLA Consultants India. Learn from expert & MNC working professionals who are Chartered Accountants, IIT, NIT, and IIM Alumni trainers. Fresher Graduates or working professionals can join our training programme in data science training institute in Delhi for the Best IT & Non-IT Certification Courses in Noida, Gurgaon & Delhi NCR, & get placement at the top MNCs industries.
To strive for excellence, candor, and integrity in our effort to raise the knowledge and diligence of this generation so that we can take care of corporate standards. One of the best ways to ensure that learners are satisfied is by offering them a blend of desired sincerity which our experts have already mastered. We’re just trying to improve the satisfaction of our students. We tend to provide individual focus to each of our learners to recognize a career with a fusion of skills, knowledge and attitude.
Course Curriculum:
- Introduction to Python
- Python Advanced Python Tools
- Deep Learning
- Flow Control
- Sequence Data
- Machine Learning
- Functions
- Errors and Exception Handling
- Importing and Exporting Data
- Data Manipulation and Data Analysis
- Data Structures and Regular Expressions
Course Highlights:
- Experienced Faculty
- Placement Assistance
- Admin Support
- live classes
- Lab Facility
Name | SLA Institute |
Course Duration | 3-6 Months |
Website | https://www.slaconsultantsindia.com/ |
Address: | 82-83, 3rd Floor, Metro Pillar No 52 Vijay Block, Laxmi Nagar New Delhi, 110092 |
Fees: | INR 30000 |
Avg. Google Rating | 4.3 (833) |
Offering Data Science Training in Delhi Since | 2011 |
Branches in India: | 1 |
Flagship Course Names | N/A |
Exclusive Data Science Institute: | Yes |
Training Delivery Model | Online/Offline |
5. XL Academy
XL Academy is an expert training organization that specializes in building skills and capabilities. With extensive industry knowledge and a talent for coaching, our goal is to help individuals become ready for the job market and enhance their employment prospects. We concentrate on developing skills in Basic and Advanced Analytics to ensure industry readiness. Additionally, we offered data science training in Delhi provide various courses, including big data, advanced Excel, Alteryx, and more.
Course Curriculum:
- Getting Started with Python Libraries
- Working with Pandas
- Data Visualization
- Introduction to Machine Learning
- Lazy Learning –Classification Using Nearest Neighbors
- Probabilistic Learning –Classification Using Naive Bayes
- Divide and Conquer –Classification Using Decision Trees and Rules
- Forecasting Numeric Data –Regression Methods
- Finding Groups of Data –Clustering with k-means
- Finding Patterns –Market Basket Analysis Using Association Rules
Course Highlights:
- Creative ideas
- Quality training
- Smart live classes
Name | The XL Academy |
Course Duration | 3 months |
Website | https://www.thexlacademy.com/ |
Address: | The XL Academy, YC Co-Working Space, Top Floor, Plot No. 94 Dwarka Sec -13, Opposite Metro Station, Near Radisson Blu, Dwarka, New Delhi – 110078. |
Fees: | INR 17,500/- |
Avg. Google Rating | 4.7 (269) |
Offering Data Science Training in Delhi Since | 2012 |
Branches in India: | Bangalore, Pune, Mumbai |
Flagship Course Names | N/A |
Exclusive Data Science Institute: | Yes |
Training Delivery Model | Online |
6. AnalytixLabs
AnalytixLabs has been a leader in Offers Data Science course since 2011. It is widely respected for providing top-notch training programs created and taught by industry experts. Our reputation for delivering high-quality training and achieving student satisfaction has helped us become the top Analytics Training Institute in India, and we’ve also gained recognition worldwide.
Course Curriculum:
- Python Essentials (Core)
- Operations with NumPy (Numerical Python)
- Overview of Pandas
- Machine Learning
- Cleansing Data with Python
- Data Analysis using Python
- Data Visualization with Python
- Basic Visualization Tools
- Statistical Methods & Hypothesis Testing
Course Highlights:
- Profile Building
- Interview Preparation
- Job Referrals
Name | Analytix Lab |
Course Duration | 12 months |
Website | https://www.analytixlabs.co.in/ |
Address: | Sidhartha House, 2nd Floor, Plot 6, near HUDA City Metro, Sector 44, Gurugram, Haryana 122003 |
Fees: | INR 58000 + taxes |
Avg. Google Rating | 4.8 (670) |
Offering Data Science Training in Delhi Since | 2011 |
Branches in India: | Bangalore |
Flagship Course Names | N/A |
Exclusive Data Science Institute: | Yes |
Training Delivery Model | Online/Offline |
7. Excelr
By offering the very best classroom, world-class instruction, and online training, ExcelR has become one of the largest trainers and consultancy firms in the world providing guidance to students and professionals worldwide.
We have created a global footprint, extending beyond boundaries and reaching out to students from all around the world through our headquarters in Houston, United States as well as presences in Malaysia and India.
As a result of our passionate and highly skilled workforce, students and professionals in complex fields such as data sciences, AI, IoT, cloud computing, project management, etc. have achieved successful learning outcomes.
Course Curriculum:
- Data Science Project Lifecycle
- Basic Statistics with R and Python
- Probability and Hypothesis Testing
- Exploratory Data Analysis – Part 1
- Linear Regression
- Logistic Regression
- Deployment
- Unsupervised Clustering in Data Mining
- Dimension Reduction Techniques
- Association Rules
- PG program in Data Science
- Recommender System
- Introduction to Supervised Machine Learning
- Decision Tree
- Exploratory Data Analysis – Part 2
- Feature Engineering
- Model Validation Methods
- Ensembled Techniques
- KNN and Support Vector Machines
- Regularization Techniques
- Neural Networks
- Text Mining
- Natural Language Processing
- Naive Bayes
- Forecasting
- Survival Analysis
Course Highlights:
- Access to E-Learning
- Work on live projects
- Blended Training model
- Industry best trainers
Name | Excelr |
Course Duration | 6 months |
Website | https://www.excelr.com/ |
Address: | M 130-131, Inside ABL Work Space, Second Floor, Connaught Cir, Connaught Place, New Delhi, Delhi 110001 |
Fees: | INR 54999 |
Avg. Google Rating | 4.4 (121) |
Offering Data Science Training in Delhi Since | 2013 |
Branches in India: | 21 |
Flagship Course Names | N/A |
Exclusive Data Science Institute: | Yes |
Training Delivery Model | Online/Offline |
8. PST Analytics
Certification courses based on data are available to programmers worldwide. We provide thorough learning programs for all skill levels. Our experienced trainers possess the required expertise to teach you everything about working in the data industry and earning data science certification. Whether it’s the fundamentals of advanced online analytics training, we offer a comprehensive approach, including classroom sessions in Delhi.
Course Curriculum:
- Data Analysis & Pivot Tables
- Basic SQL
- Advanced SQL
- Introduction to Data Science Course and Python
- Data Manipulation with Python
- Data Visualization
- Statistics and Exploratory Data Analysis
- (EDA)
- Data Preprocessing and Feature Engineering
- Supervised Learning Algorithms
- Model Evaluation and Selection
- Unsupervised Learning Algorithms
- Dimensionality Reduction Techniques
- Ensemble Learning
- Data Analysis
- Neural Networks and Deep Learning
- Time Series Analysis and Forecasting
- Natural Language Processing (NLP)
- Model Deployment and Productionisation
- Model Interpretability and Explainability
- Ethics and Bias in Data Science
- Basic Tableau
- Data connectivity and navigation
- My first visual – Bar chart
- Time series, aggregation and filters
- Other charts in Tableau
- Maps and scatter plot
- Joining and Data blending
- Advanced Tableau
- Advanced Table calculation
- Advanced data preparation + Analytics in Tableau
- Creating animations in Tableau
- Level of details (LOD)
- Tableau Server
- Power BI Introduction
- Power Query
- M Language
- Data Modeling
- DAX
- DAX Functions Types
- Time Intelligence Functions Date and Time Functions
- Text Functions
- Logical Functions
- Math & Statistical Functions
- Filter Functions
- Report View User Interface
- Grouping and Binning Introduction
- Visualisations
- Power BI Service
- Creating Dashboard
- Basic Concepts
- Access Data
- Starting With Raw Data(Basics)
- Formats and Informats
- Starting With Raw Data( Beyond Basics)
- Mixing Styles of Input
- PDV: How the DATA Step Works
- Manipulating SAS Datasets
- Grouping Statements Using DO Groups
- Combining SAS Data Sets
- Transforming Data with SAS Functions
- Relevant base SAS procedures
- Generating Data with DO Loops
- Processing Variables with Arrays
- Analytics-An Introduction
- Data and Variables-An introduction
- Population and Sample-Sampling techniques
- Normal Distribution & Central Limit Theorem
- Exploratory data Analysis
- Data Visualization
- Hypothesis Testing
- Campaign Management
- Anova-Analysis of Variance
- Anova-hPost Hoc Analysis Test
- Correlation-Different types
- Regression -Exploring the algorithm
- Regression – Model Building
- Logistic Regression-Introduction
- Predictive modeling using Logistic Regression
- Logistic Regression-Model Building
- Logistic Regression-Measure model performance
- Logistic Regression-Industry view and applications
- SAS SQL 1: Essentials
- Displaying Query Results
- SQL Joins
- Subqueries
- Set Operators
- PG Program in Data Science
- Creating Tables and Views
- Advanced PROC SQL Features
- SAS Macro Language
- Macro Variables
- Macro Definitions
- DATA Step and SQL Interfaces
- Macro Programs
- Advanced SAS Programming Techniques
- Controlling I/O Processing and Memory
- Accessing Observations
- Using DATA Step Arrays
- Using DATA Step Hash and Hiter Objects
- Combining Data Horizontally
- Expert Programmer Techniques
Course Highlights:
- Affordable
- 2200 + Classes Completed
- Data Science Certification
- 750 + Successful Global Certifications
Name | PST Analytics |
Course Duration | 3 Months |
Website | https://www.pstanalytics.com/ |
Address: | 18/5, near Guru Dronacharya Metro Station, S Block, DLF Phase 3, Gurugram, Haryana 122001 |
Fees: | INR 60000 |
Avg. Google Rating | 4.9 (617) |
Offering Data Science Training in Delhi Since | 2011 |
Branches in India: | 1 |
Flagship Course Names | N/A |
Exclusive Data Science Institute: | Yes |
Training Delivery Model | Online |
9. ProSchool
We’ll identify future job prospects, set up new age skills training programs, innovate on ways to engage the youth and help them develop their futures; and mentor, inspire, and guide young people towards a bright future. We offered data science institute in Delhi for training practical help to individuals in order to obtain skills and industry-leading certifications so that they can gain employment.
In addition, we assist enterprises in building up a pool of qualified resources. IMS has been working towards a long-lasting successful career for its students since 1977. In the AC Nielsen and Brand equity survey, it was identified as one of the top 4 trusted education brands. The extension of the same mission is the IMS Pro School. We aim to help people realize their potential through guidance and training at Proschool.
Course Curriculum:
- Statistics
- Excel
- Problem solving
- Data Analysis
- Machine Learning
- SQL
- Tableau
- PowerBI
- Python
- EDA and Machine Learning in Python
Course Highlights:
- Expert Faculty
- Convenient Flexible Learning
- Growth Support Mentors
- Pioneers in Active Learning
Name | Proschool |
Course Duration | 6 months |
Website | https://proschoolonline.com/ |
Address: | BUILDING-1, 101A, New Barakhamba Rd, New Delhi, Delhi 110001 |
Fees: | INR 12.5 K – 4.5 L |
Avg. Google Rating | 4.5 (1752) |
Offering Data Science Training in Delhi Since | 2010 |
Branches in India: | 12 |
Flagship Course Names | N/A |
Exclusive Data Science Institute: | Yes |
Training Delivery Model | Online/Offline |
10. Skill Circle
SkillCircle, a company that specializes in training, has established itself as one of the first companies focused on digital skills evolution with an emphasis on financial independence and job creation for all. More than 25000 students across India have been trained in Digital Marketing and Data Science by SkillCircles. We are encouraging students to consider other options, such as a conventional career path.
Course Curriculum:
Module 1: Introduction to Data Science
- Overview of data science course and its Applications
- The data science Process
- Data ethics and Privacy
Module 2: Data Collection and Wrangling
- Data collection methods
- Data cleaning and Preprocessing
- Data wrangling with Python
Module 3: Exploratory Data Analysis (EDA)
- Descriptive statistics
- Data visualization
- Data Analysis
- Feature engineering
Module 4: Statistical Modeling
- Probability and distributions
- Hypothesis testing
- Regression analysis
Module 5: Machine Learning
- Supervised learning algorithms
- Unsupervised learning algorithms
- Machine learning model evaluation
Module 6: Data Visualization and Communication
- Effective data visualization techniques
- Storytelling with data
- Communicating data insights to stakeholders
Module 7: Data Engineering
- Introduction to data engineering
- Data warehousing and data lakes
- Data pipelines and automation
Module 8: Deep Learning
- Introduction to deep learning
- Artificial neural networks
- Deep learning applications
Module 9: Data Science Applications
- Data science for business
- Data science for finance
- Data science for healthcare
Module 10: Data Science Project
- Application of data science skills to a real-world problem
- Project planning and execution
- Project presentation and communication
Course Highlights:
- Dedicated Placement Training and Assistance.
- One-on-One with Industry Mentors
- Award-Winning World-Class Faculty And Industry Experts.
Name | Skill Circle |
Course Duration | 6 months |
Website | https://skillcircle.in/ |
Address: | H 11-A 2nd Floor Connaught Place, New Delhi, Delhi 110001 |
Fees: | INR 59,999 + GST. |
Avg. Google Rating | 4.5 (1035) |
Offering Data Science Training in Delhi Since | 2014 |
Branches in India: | Chandigarh, Lucknow |
Flagship Course Names | N/A |
Exclusive Data Science Institute: | Yes |
Training Delivery Model | Online/Offline |
11. PORT LEARN
In order to ensure further growth and development of our activities, the promotion of creativity is crucial. We will work to develop new and interesting opportunities for our students, employees, and community.
In this course, you will learn how technology is being used to deal with real-world challenges in Data Science and build up a solid understanding of the latest technologies, statistics analysis, and computational techniques. It is the hunger that drives us to overcome our challenges and move forward. It is a belief that together, we are capable of creating a better world. On your way, join us.
Course Curriculum:
- Statistics & Probability
- Introduction to Python
- Supervised Machine
- Learning Unsupervised
- Machine Learning SQL
- Data Visualization (Tableau)
- Support Vector Machine (SVM)
- Regularisation
- Dimensionality Reduction
- Text Mining
- Ensemble Learning
Course Highlights:
- Expert instructors
- Mentorship
- Carrier Assistance
Name | Port Learn |
Course Duration | 6 months |
Website | https://www.portlearn.com/ |
Address: | S-515,2nd floor, School block, Shakarpur, Near Laxmi Nagar Metro Station, New Delhi -110092 |
Fees: | INR 25000 |
Avg. Google Rating | 4.9 |
Offering Data Science Training in Delhi Since | 2015 |
Branches in India: | 1 |
Flagship Course Names | N/A |
Exclusive Data Science Institute: | Yes |
Training Delivery Model | Online/Offline |
12. 4Achievers
4Achievers is a beacon for technology education and enlightenment within the bustling IT hub in Delhi, enabling people to make sense of today’s increasingly changing tech landscape. 4Achievers, established with an unwavering mission to bridge the gap between industry needs and individual skill sets, has become one of the world’s most sought-after IT training institutes, transforming those who wish to learn into professionals in demand.
At 4Achievers, the field of data science and analysis takes its place where people are able to get valuable insight from vast amounts of data. Their carefully designed curriculum focuses on data collection and cleaning, exploratory data analysis, statistical modeling, machine learning, and data visualization, enabling data lovers to become data-driven decision-makers.
Course Curriculum:
Module 1: Introduction to Data Science
- Overview of Data Science and its Applications
- The data science process
- Data ethics and privacy
Module 2: Data Collection and Wrangling
- Data collection methods
- Data cleaning and Preprocessing
- Data wrangling with Python
Module 3: Exploratory Data Analysis (EDA)
- Descriptive statistics
- Data visualization
- Feature engineering
Module 4: Statistical Modeling
- Probability and distributions
- Hypothesis testing
- Regression analysis
Module 5: Machine Learning
- Supervised learning algorithms
- Unsupervised learning algorithms
- Machine learning model evaluation
Module 6: Data Visualization and Communication
- Effective data visualization techniques
- Storytelling with data
- Communicating data insights to stakeholders
Module 7: Data Engineering
- Introduction to data engineering
- Data warehousing and data lakes
- Data pipelines and automation
Module 8: Deep Learning
- Introduction to deep learning
- Artificial neural networks
- Deep learning applications
Module 9: Data Science Applications
- Data science for business
- Data science for finance
- Data science for healthcare
Module 10: Data Science Project
- Application of data science skills to a real-world problem
- Project planning and execution
- Project presentation and communication
Course Highlights:
- Placement Assistance
- Live Projects
- Mock Interviews
Name | 4Achievers |
Course Duration | 6 months |
Website | https://4achievers.com/ |
Address: | Metro, A-77, Sector 2, near Noida, Sector 15, Noida, Uttar Pradesh 201301 |
Fees: | INR 49,999 + GST |
Avg. Google Rating | 4.9 (279) |
Offering Data Science Training in Delhi Since | 2014 |
Branches in India: | 8 |
Flagship Course Names | N/A |
Exclusive Data Science Training Institute: | Yes |
Training Delivery Model | Online/Offline |
13. Uncodemy
Uncodemy is an elite team of highly skilled professionals associated with one of the largest companies in the world. We’re on a mission to get millions of people employed. Uncodemy is the right place for you if you are looking for work or a change of career. You’ll be taught how to work with the newest technology.
At Uncodemy, Be an industry-ready Certified Data Science professional with this exclusive Data Science Course in Noida by immersive learning of Data Analysis with Machine Learning models, Visualization, Forecasting and predicting Models, and Deep Learning.
Course Curriculum:
- Data Science with Python
- Machine Learning
- Tableau Training
- Deep Learning with Keras and TensorFlow
- Data Science Capstone
Course Highlights:
- Client Experience
- Master Instruction
Name | Uncodemy |
Course Duration | 4-6 months |
Website | https://uncodemy.com/ |
Address: | B 14-15, Udhyog Marg, Block B, Sector 1, Noida, Uttar Pradesh 201301 |
Fees: | INR 40000 + GST |
Avg. Google Rating | 5 (465) |
Offering Data Science Training in Delhi Since | 2015 |
Branches in India: | Bangalore, Mumbai, Indore |
Flagship Course Names | N/A |
Exclusive Data Science Institute: | Yes |
Training Delivery Model | Online/Offline |
14. Console Flare
Console Flare was created as an unconventional startup to deal with the problem of fragmented information on the latest technologies available on the Internet. The students had to struggle with the high costs of those courses that focused purely on theory and did not include any application or project.
We believe everyone should have an opportunity to pursue a rewarding career in which they can earn well. If you are from a different technical background and want to be an IT professional, here is the right place for you!
Course Curriculum:
- Python Programming
- Data Analytics
- Data Visualization
- Wielding Bigdata through Pyspark
- Statistical exploration in Python
- Machine Learning
- Live Data Streaming
Course Highlights:
- Common tongue (English+Hindi)
- Live Online Training
- Placement Assistance
Name | Console Flare |
Course Duration | 6.5 months |
Website | https://www.consoleflare.com/ |
Address: | The Office Pass Building, A-93, Sector 4 Near Sector 16 metro station, Noida, Uttar Pradesh 201301 |
Fees: | INR 35000 |
Avg. Google Rating | 4.9 (103) |
Offering Data Science Training in Delhi Since | 2019 |
Branches in India: | 1 |
Flagship Course Names | N/A |
Exclusive Data Science Institute: | Yes |
Training Delivery Model | Online/Offline |
15. DexLab Analytics
A group of major industry professionals set up DexLab Solutions as a provider of accelerated training for anyone seeking to prove his or her worth in the Big Data Analytics field. The main aim of the company is to teach professionals how to be ready for this highly growth-oriented sector, in all major industry sectors, so that they can make lucrative careers.
Big Data, driven by the exponential growth of both unsorted and fixed data, has taken off in recent years as a disruptive technology trend. A huge number of data sets, which need to be analysed for the creation of accurate information leading to vital business decisions, are present in almost all sectors.
Course Curriculum:
- Python Introduction
- Natural Language Processing, Artificial Neural Network and Forecasting using Time Series.
- Library Panda
- Machine Learning
- Deep Learning
Course Highlights:
- Post Training Assessment-based Certification
- Industry-relevant Course Curriculum
- Hands-on Practical Implementation-based Training Using Real Business Examples
- Placement Support
Name | DexLab Analytics |
Course Duration | 6 months |
Website | https://www.dexlabanalytics.com/ |
Address: | 122 002, Delhi NCR, Central Arcade, K-3/5, Opposite Landmark: Sahara Mall, M. G. Road, Dakshin Marg, DLF Phase 2, Sector 25, Gurugram, Haryana 122002 |
Fees: | INR 18500 |
Avg. Google Rating | 4.5 (350) |
Offering Data Science Training in Delhi Since | 2012 |
Branches in India: | 1 |
Flagship Course Names | N/A |
Exclusive Data Science Institute: | Yes |
Training Delivery Model | Online/Offline |
Who should learn Data Science in Delhi?
Learning Data Science should also be considered by individuals from a wide range of professions, including IT experts, businessmen, marketers, engineers, students, healthcare professionals, entrepreneurs, and public officials in Delhi. The acquisition of data science skills can have a significant impact on career prospects as the capital city is experiencing an increasing need for data-led decisions in all sectors.
With the emergence of Delhi’s job market, skill in data science is an invaluable asset if you want to improve business performance, make better policy choices, research or innovate. Data science knowledge has a broad range and is useful to all who seek to manage dynamic and technologically driven challenges in the professional world today.
Why should you study Data Science?
Acquiring data science is a crucial element in the Digital Age, as it teaches individuals to make sense of vast amounts of information and enables them to act on their own based on this knowledge for informing industry decisions. Data science is empowering you to discover patterns, anticipate trends, and resolve complicated problems in all areas of business, health care, finance, or technology. The field of data scientists continues to be in great demand, which is making it an area with ample career opportunities.
Career Scope in Data Science in Delhi
The career scope in data science institute in Delhi NCR is highly promising, driven by a growing demand for skilled professionals across diverse industries. With Delhi serving as a hub for IT, finance, healthcare, and more, there is a constant need for data scientists and analysts to extract valuable insights from vast datasets. The scarcity of qualified individuals in this field opens up numerous opportunities for those seeking rewarding careers.
Delhi’s dynamic startup ecosystem, coupled with government initiatives promoting digitization, further amplifies the prospects for data science professionals. With a range of educational institutions offering relevant courses, individuals can easily access the necessary training to enter or advance in this thriving field.
Data Science Course Certification : Digiperform
Digiperform’s course certification holds immense value in the industry due to our extensive expertise and reputable clientele across India and abroad. We, as the premier Data Science institute in India, prioritize maintaining the integrity of our certification process.
Certificates are exclusively awarded upon completion and fair evaluation of mandatory project work, emphasizing hands-on learning and skill enhancement rather than a pass/fail grading system.
Students are encouraged to seek support for project improvement if needed, with plagiarism strictly prohibited during evaluation.
While assignments and projects aren’t graded on a pass/fail basis, external tests may vary in assessment criteria. Dual certification programs may include assessments by industry partners.
Our ultimate aim is to equip students with practical experience, empowering them to excel in job interviews and thrive in their careers.
Mastering Data Science Tools
Embark on an electrifying journey into the world of data science through Digiperform’s ‘Mastering Data Science Tools‘ course. This program delves deeply into Python, R programming, and advanced machine learning techniques, empowering you to extract invaluable insights from data.
Acquire hands-on expertise in utilizing tools highly sought-after in the industry, empowering you to tackle genuine data hurdles. Elevate your abilities and broaden your professional horizons in the ever-evolving realm of data science with Digiperform’s immersive and practical curriculum.
Data Science Salaries for Freshers in Delhi
Salaries may vary for new students who enter Delhi’s data science field, but the average range is between four and six thousand dollars per year. Nevertheless, it is necessary to take into account that factors such as qualifications, expertise, and reputations of recruitment bodies may affect the real wages at issue. As the demand for data science professionals is very high and continues to rise, new graduates will be able to expect competitive entry rates but may also experience significant increases as they gain knowledge and expertise in this area.
Data Science Job Roles
- Machine Learning Engineer
- Business Analyst
- Data Analyst
- Data Science Consultant
- Data Engineer
- Business Intelligence Developer
- Data Storyteller
- Data Visualization Analyst
Data Science Role | Monthly Salary (INR) | Yearly Package (INR) |
Machine Learning Engineer | Rs. 80,000 – Rs. 1,20,000 | Rs. 9,60,000 – Rs. 14,40,000 |
Business Analyst | Rs. 50,000 – Rs. 80,000 | Rs. 6,00,000 – Rs. 9,60,000 |
Data Analyst | Rs. 55,000 – Rs. 75,000 | Rs. 6,60,000 – Rs. 9,00,000 |
Data Science Consultant | Rs. 1,00,000 – Rs. 1,50,000 | Rs. 12,00,000 – Rs. 18,00,000 |
Data Engineer | Rs. 70,000 – Rs. 1,00,000 | Rs. 8,40,000 – Rs. 12,00,000 |
Business Intelligence Developer | Rs. 60,000 – Rs. 85,000 | Rs. 7,20,000 – Rs. 10,20,000 |
Data Storyteller | Rs. 45,000 – Rs. 70,000 | Rs. 5,40,000 – Rs. 8,40,000 |
Data Visualization Analyst | Rs. 40,000 – Rs. 65,000 | Rs. 4,80,000 – Rs. 7,80,000 |
Current Job Openings in Data Science in Delhi
You can find employment opportunities in data science course in Delhi NCR if you want to! Within each sector, there is an increase in data scientists’ job opportunities in the city.
To drive the development of smart decision-making, businesses are looking for professionals who can interpret data. The job market in Delhi is welcoming, whether you are an experienced data scientist or just beginning your journey. Businesses are looking for employees with data analysis, machine learning, and predictive modeling skills from the IT industry to finance and healthcare. The roles offer a competitive salary, as well as the opportunity to contribute to cutting-edge projects.
You can refer to these websites: Naukri.com, Linkedin.com, Indeed.com and many more.
FAQs: Data Science Course
What is data science, and why is it important in Delhi?
Data science involves extracting insights from data. In Delhi, it's crucial as businesses leverage data for informed decision-making, driving growth across industries.
Who should learn data science training in Delhi?
Anyone from IT professionals to business analysts, students, and entrepreneurs can benefit from learning data science, given its versatile applications in the job market.
What is the average salary for freshers in data science in Delhi?
Freshers in data science in Delhi can expect an average salary ranging from 4 to 6 lakhs per year, with variations based on factors like education and skills.
What industries in Delhi have a high demand for data scientists?
Industries such as IT, finance, healthcare, e-commerce, and startups in Delhi have a high demand for data scientists due to the increasing reliance on data-driven decision-making.
How does data science contribute to innovation in Delhi?
Data science plays a key role in innovation by enabling professionals to analyze trends, predict outcomes, and contribute to cutting-edge projects across various sectors in Delhi's dynamic business environment.
What are the essential steps to learn data science training in delhi effectively?
To learn data science training in delhi effectively, start by mastering foundational skills in mathematics and programming. Progress to understanding statistical concepts and algorithms. Engage in hands-on projects to apply theoretical knowledge. Stay updated on industry trends and technologies for continuous improvement.
What factors should aspiring data scientists consider when selecting a data science institute in Delhi?
Aspiring data scientists in Delhi should consider the curriculum relevance, faculty expertise, industry collaborations, placement records, and infrastructure of data science institute in Delhi. A well-rounded evaluation ensures a comprehensive learning experience at the chosen institute.
In your experience, what are the common challenges faced during a data science course, and how can they be overcome for successful completion?
In the realm of data science education, students commonly face challenges such as complex algorithms, programming hurdles, and large datasets. Successful completion requires a balanced approach—leveraging online resources, seeking peer collaboration, and regularly practicing hands-on projects to reinforce theoretical knowledge.
Will I receive a certification upon completing the Data Science course at Digiperform?
Yes, upon successful completion of the Data Science course at Digiperform, you will receive a certification.
What are the various payment options offered?
Digiperform offers multiple payment options, including the possibility of spreading the cost over up to 18 EMIs for your convenience.
What duties will I have as a Data Scientist?
As a Data Scientist, your role will involve analyzing complex data sets, identifying trends, developing algorithms, and creating predictive models to extract valuable insights for decision-making processes in various industries.
How is the faculty at Digiperform?
The faculty at Digiperform comprises experienced industry professionals with expertise in data science, ensuring high-quality education and practical insights into real-world applications.
Can individuals without programming skills enroll in the Data Science course in Delhi?
Yes, you can enroll in the Data Science course at Digiperform even if you are not a programmer. Our curriculum is designed to accommodate learners from diverse backgrounds and skill levels, providing necessary guidance and support throughout the learning journey.