Master
Python Institute in Noida
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Top 10 Python Training Institute in Noida
Welcome to our list of the Top 10 Python Course Institutes in Noida!
Noida, located in the state of Uttar Pradesh, is a bustling city adjacent to Delhi. Known for its swift development, it has transformed from a humble suburb into a major economic and technological hub. The city’s skyline is marked by tall buildings that house multinational corporations, technology parks, and shopping centers.
Noida embodies India’s economic growth, attracting a diverse population seeking career opportunities. It seamlessly blends modern infrastructure with a rich cultural heritage, featuring upscale residential areas, educational institutions, and entertainment options. However, alongside its rapid expansion, Noida faces challenges such as traffic congestion and environmental concerns.
The future of Python programming in Noida looks promising as the city solidifies its status as a significant business and tech center. With a growing demand for programming skills across sectors like IT, finance, and healthcare, Noida is set to see an increasing need for proficient Python developers.
As businesses embrace digital transformation, the importance of Python in shaping strategic decisions and enhancing operational efficiency is expected to rise. This trend suggests favorable prospects for professionals in Noida’s Python programming landscape, making it a focal point for career opportunities and innovation in this rapidly evolving digital age.
This article aims to discuss the Top 10 Python Courses in Noida, highlighting their significance and the advantages of pursuing these courses in Noida, India. Let’s explore further.
List: Top 10 Python Training Institute in Noida
| Institute Rank | Name | Training Delivery Type | Offering Course Since | Fees | Placement Assistance |
| 1 | Digiperform- Digital Career Academy | Online | 2014 | INR 30k-90k | 100%* |
| 2 | CodeSquadz | Online/Offline | 2022 | INR40,000 to 1,00,000 | 100% |
| 3 | Softcrayons Tech Solutions Pvt. Ltd. | Online/Offline | 2005 | INR 9,300-2,00,000 | 100% |
| 4 | 4Achievers | Online/Offline | 2016 | INR35,000 to 1,15,000 | 100% |
| 5 | Ethans Tech Noida | Online/Offline | 2015 | INR 30,000 | 100% |
| 6 | ConsoleFlare | Online | 2020 | INR 28,500-38,500 | 100% |
| 7 | Croma Campus Training & Development (P) Ltd. | Online/Offline | 2010 | INR 13,000 | 100% |
| 8 | TrainingYA | Online/Offline | 2009 | INR 24,000-30,000 | 100% |
| 9 | FutureTech Era | Online/Offline | 2017 | INR 16,000 | 100% |
| 10 | Analystmate Academy | Online/Offline | 2013 | INR 45,000-80,000 | 100% |
Curriculum, Fee and Course Highlights: Top 10 Python Training Institute in Noida
1. DIGIPERFORM
Digiperform is a leading training provider in India, specializing in digital skills. Our extensive course curriculum is meticulously crafted by a team of over 50 experts from the Data Science industry. We actively partner with 450 innovative businesses across Asia to gather insights and feedback, ensuring our courses stay aligned with the latest industry trends.
Our curriculum is specifically designed to equip learners with the skills required for roles in both small and large Data Science agencies, as well as companies with in-house Data Science teams. At Digiperform, we emphasize a hands-on learning approach, incorporating practical exercises, research projects, and assignments to provide a comprehensive and practical learning experience.
Why Choose The Digiperform Online Python Course ?
Choosing Digiperform’s Online Python Course offers numerous compelling reasons. Our user-friendly learning experience is expertly crafted by industry professionals to ensure a clear understanding of complex concepts.
The course structure is meticulously designed based on feedback from 450 businesses, ensuring its relevance in the constantly changing digital landscape. We focus on a hands-on approach, incorporating practical knowledge, research projects, and assignments to provide a thorough learning journey.
Whether you come from a scientific, business, or non-technical background, our course is tailored to ensure your success. Join us to explore the expansive world of Python and embark on a fulfilling educational adventure in Noida!
What is Python and its Importance?
Python is a versatile, high-level programming language known for its simplicity and readability. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Python’s extensive standard library and active community make it an ideal choice for various applications, from web development and data analysis to artificial intelligence and scientific computing.
The importance of Python lies in its ability to streamline complex processes and enhance productivity. Its ease of learning and use has made it popular among both beginners and experienced developers. Python’s widespread adoption in industries such as finance, healthcare, and technology underscores its role in driving innovation and efficiency. As digital transformation continues, Python’s significance in shaping the future of technology is set to grow even further.
Why Choose Digiperform Online Python Course?
Choosing Digiperform’s Online Python Course offers numerous compelling reasons. Our user-friendly learning experience is expertly crafted by industry professionals to ensure a clear understanding of complex concepts.
The course structure is meticulously designed based on feedback from 450 businesses, ensuring its relevance in the constantly changing digital landscape. We focus on a hands-on approach, incorporating practical knowledge, research projects, and assignments to provide a thorough learning journey.
Whether you come from a scientific, business, or non-technical background, our course is tailored to ensure your success. Join us to explore the expansive world of Python and embark on a fulfilling educational adventure in Noida!
Python Online Course: Advantages
Enrolling in an Online Python Course offers numerous advantages for aspiring professionals. A major benefit is the flexibility it provides, allowing learners to balance their studies with existing commitments. The online format ensures accessibility from anywhere, eliminating geographical barriers.
These courses often feature industry-relevant content, keeping participants updated with the latest trends and technologies in the field. Interactive modules and hands-on assignments enhance practical skills, preparing students for real-world applications. Additionally, online forums and peer interactions foster a collaborative learning environment.
With self-paced learning options and 24/7 access to resources, an Online Python Course empowers individuals to embark on a comprehensive and convenient educational journey in Noida.
Career Support
Our cutting-edge educational material includes presentations, documents, PDFs, exercises, quizzes, and projects, all meticulously crafted to meet global standards. Our highly skilled trainers boast an average of over 8 years of experience in leading industries.
We offer personalized career guidance with continuous online support and weekly doubt-clearing sessions provided by our experts. You will have access to our learning management system (LMS), ensuring round-the-clock availability of lectures and training resources.
Our course provides tailored preparation for various data science job interviews, helping you meet specific role requirements. Additionally, we offer guaranteed job placement assistance through our dedicated placement cell, ensuring you secure your desired career opportunity.
Python 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 |
Python 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
Python Placements
100% * Placement Assistance Dedicated Placement Cell To Help You Land Your Dream Job
Python Training course fees
Master Program in Python 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. CodeSquadz
CodeSquadz (formerly AppSquadz Education) is a premier IT training institute located in Noida, India, specializing in a wide range of programming languages. We offer comprehensive training programs in Java (Core, Advanced, and Core with Advanced), Python, Data Science, Digital Marketing, Android, PHP, Spring Hibernate, MEAN and MERN stacks, AI/ML, JavaScript, and HTML. Our graduates are well-equipped to handle various web and mobile app development projects. Under the expert guidance of Mr. Manish Bhatia, students receive up-to-date and practical coding knowledge. Throughout the six-month training program, students gain hands-on experience with coding tools and AWS servers by working on live projects, ensuring they are well-prepared for the industry.
Course Curriculum:
- Core Java
- Advanced Java
- Full Stack Development
- Mean Stack
- Mern Stack
- Python
- Android Development
Course Highlights:
- Industry-Oriented Curriculum
- Expert Faculty
- Practical Training
- Placement Assistance
- Flexible Learning
- Live Projects
- Certification
- Doubt Clearing Sessions
- Soft Skills Development
- Internship Opportunities
| Name | CodeSquadz |
| Course Duration | 6 Weeks |
| Website | www.codesquadz.com |
| Address: | H 65, Sector 63 Rd, H Block, Sector 63, Noida, Uttar Pradesh 201301 |
| Avg. Google Rating: | 4.2 |
| Offering Python Training in Noida Since: | 2022 |
| Fees | INR 40,000 to INR 1,00,000 |
| Branches in India: | 1 |
| Flagship Course Names: | NA |
| Exclusive Python Institute: | No |
| Training Delivery Model | Online/Offline |
3. Softcrayons Tech Solutions Pvt. Ltd.
Softcrayons is a premier IT training institute located in Ghaziabad, Noida, and Delhi/NCR. They provide comprehensive training in Python, PHP, Java, Web Design, Autocad, Digital Marketing, S.A.P, Azure, AWS, Artificial Intelligence, and Basic Computer skills. Additionally, they offer Industrial Training and Internship programs, all conducted by expert trainers.
Course Curriculum:
- Core Python
- Advanced Python
- Python Full Stack
Course Highlights:
- Practical Learning
- Expert Instructors
- Global Certification
- Flexible Learning
- Strong Placement Assistance
| Name | Softcrayons Tech Solutions Pvt. Ltd. |
| Course Duration | 6 Months |
| Website | www.softcrayons.com |
| Address: | Plot No. 693, Vashundhara Sector 14-A, Ghaziabad, Uttar Pradesh 201010 |
| Avg. Google Rating: | 4.8 |
| Offering Python Training in Noida Since: | 2005 |
| Fees | INR 9,300 – 2, 00, 000 |
| Branches in India: | 1 |
| Flagship Course Names: | NA |
| Exclusive Python Institute: | No |
| Training Delivery Model | Online/Offline |
4. 4Achievers
4Achievers is an institute in Noida with over 5 years of industry experience, offering training and globally recognized certification courses for B.Tech students, graduates, and master’s students. They provide a variety of courses, including software testing, data science, Python, full stack development, and cloud computing.
Course Curriculum:
Introduction to Python:
- Basics of Python programming
- Data types (numbers, strings, lists, tuples, dictionaries)
- Operators and expressions
- Control flow (if-else, loops)
- Functions
Intermediate Python:
- Object-oriented programming (classes, objects, inheritance)
- Modules and packages
- Exception handling
- File handling
- Regular expressions
Advanced Python:
- Functional programming
- Decorators
- Generators
- Concurrency and parallelism
- Libraries (NumPy, Pandas, Matplotlib, etc.)
Course Highlights:
- Hands-on projects
- Expert instructors
- Placement assistance
- Flexible learning options
- Industry-relevant curriculum
- Certification
| Name | 4Achievers |
| Course Duration | 3 Months |
| Website | https://4achievers.com/python-for-data-science-training-in-noida |
| Address: | C-58, Captain Vijyant Thapar Marg, C Block, Sector 2, Noida, Uttar Pradesh 201301 |
| Avg. Google Rating: | 4.6 |
| Offering Python Training in Noida Since: | 2016 |
| Fees | INR |
| Branches in India: | 11+ |
| Flagship Course Names: | NA |
| Exclusive Python Institute: | No |
| Training Delivery Model | Online/Offline |
5 . Ethans Tech Noida
Ethans Tech in Noida is an institute offering cutting-edge training and certification in technology courses. With expert faculty and a focus on practical knowledge, they provide comprehensive programs in data science, Python, cloud computing, full stack development, and more. Their courses are designed to meet industry standards and boost career prospects.
Course Curriculum:
- Python Fundamentals
- Data Structures
- Algorithms
- Object-Oriented Programming
- Database Integration
- Web Development
- Data Science
- Machine Learning
Course Highlights:
- Expert Instructors
- Hands-on Projects
- Job Placement Assistance
- Flexible Learning Options
- Affordable Pricing
- Comprehensive Curriculum
- Industry-Relevant Skills
- Strong Community Support
- 24/7 Support
| Name | Ethans Tech Noida |
| Course Duration | 3-6 Months |
| Website | https://ethans.co.in/ |
| Address: | B, 66, Sector 63 Rd, near B Block, B Block, Sector 63, Noida, Uttar Pradesh 201301 |
| Avg. Google Rating: | 4.8 |
| Offering Python Training in Noida Since: | 2015 |
| Fees | INR 30,000 |
| Branches in India: | 5 |
| Flagship Course Names: | NA |
| Exclusive Python Institute: | No |
| Training Delivery Model | Online/Offline |
6. ConsoleFlare
ConsoleFlare is an institute specializing in cutting-edge technology training. With a focus on practical knowledge, industry-relevant skills, ConsoleFlare offers courses in software development, Python, data science, and cloud computing. Their expert-led programs are designed to equip students and professionals with the knowledge and certifications needed to excel in the tech industry.
Course Curriculum:
Python Basics:
- Introduction to Python
- Data types (numbers, strings, lists, tuples, dictionaries)
- Operators
- Control flow (if/else, loops)
- Functions
Data Structures:
- Lists, tuples, dictionaries, sets
- Operations on data structures
Object-Oriented Programming (OOP):
- Classes, objects, inheritance, polymorphism
File Handling:
- Reading and writing files
Libraries and Modules:
- Standard library modules
- Third-party libraries (NumPy, Pandas, Matplotlib, etc.)
Course Highlights:
- 100% placement assistance
- Instant Doubt Resolution
- Interview Preparation
- 1:1 and Group mentorship
| Name | ConsoleFlare |
| Course Duration | 6 Months |
| Website | https://www.consoleflare.com/course/python-for-data-analytics |
| Address: | The Office Pass Building, metro station, D-9, near Sector 16, Block D, Noida Sector 3, Noida, Uttar Pradesh 201301 |
| Avg. Google Rating: | 4.5 |
| Offering Python Training in Noida Since: | 2020 |
| Fees | INR 28,500-38,500 |
| Branches in India: | 1 |
| Flagship Course Names: | NA |
| Exclusive Python Institute: | No |
| Training Delivery Model | Online |
7. Croma Campus Training & Development (P) Ltd.
Croma Campus (P) Ltd. is an ISO 9001:2015 certified training organization led by highly qualified technical professionals with over 15 years of experience in various technical fields and affiliations with top-level multinational companies. They excel in delivering top-tier technical training and certifications across a wide range of popular global technologies. To meet the diverse needs of their international clientele, they offer several innovative learning methods and delivery models. Additionally, they provide corporate training on cutting-edge technologies. Their team consists of certified trainers, each with a minimum of 10 years of industry experience. Over the past decade, they have trained more than 18,000 candidates.
Course Curriculum:
- Python Fundamentals
- Data Structures & Algorithms
- Object Oriented Programming (OOP)
- Advanced Python Topics
Course Highlights:
- Industry Expert Trainers
- Interactive Learning
- Practical Projects
- Placement Assistance
- Certification (Possible)
| Name | Croma Campus Training & Development (P) Ltd. |
| Course Duration | 32 Hrs. |
| Website | https://www.cromacampus.com/courses/programming-with-python-training/ |
| Address: | G-21, Block G, Noida Sector 3, Noida, Uttar Pradesh 201301 |
| Avg. Google Rating: | 4.1 |
| Offering Python Training in Noida Since: | 2010 |
| Fees | INR 13000 |
| Branches in India: | 3 |
| Flagship Course Names: | NA |
| Exclusive Python Institute: | No |
| Training Delivery Model | Online/Offline |
8. TrainingYA
TrainingYA began in early 2009 as the CTC Institute. Founded by a group of IT professionals specializing in Data Analytics, the organization aimed to share their knowledge and experience with aspiring analysts. Their vision was to transform a daily necessity into a highly effective and well-designed training program, adhering to strict standards of quality, creativity, and education.
Course Curriculum:
- Python fundamentals
- Data manipulation and visualization
- Libraries like NumPy, Pandas, Matplotlib, and Seaborn
- Linear regression, logistic regression, and support vector machines
- Techniques for model evaluation, validation
- Clustering and dimensionality reduction
- Gain hands-on experience through projects
Course Highlights:
- Experienced Faculty
- Industry-Relevant Curriculum
- Access to Resources
- Career Opportunities
- Quality Education
| Name | Python with Machine Learning |
| Course Duration | 3 Months |
| Website | https://www.trainingya.com/ |
| Address: | Flat number 802, 8th Floor, Tower T7, SUPREME TOWERS, society, Gadarpur, Sector 99, Noida, Uttar Pradesh 201304 |
| Avg. Google Rating: | 4.9 |
| Offering Python Training in Noida Since: | 2009 |
| Fees | INR 24,000-30,000 |
| Branches in India: | 2+ |
| Flagship Course Names: | NA |
| Exclusive Python Institute: | No |
| Training Delivery Model | Online/Offline |
9. FutureTech Era
FutureTech Era began its journey in 2017 as an educational platform offering rigorous, industry-relevant programs. These programs are designed and delivered in collaboration with world-class faculty, industry experts, and top-tier infrastructure. Over the past six years, they have trained over 3,000 candidates and successfully placed more than 300 professionals in various industries.
Course Curriculum:
- Python Fundamentals
- Python for Data Science
- Python for Web Development
- Advanced Python Topics
Course Highlights:
- Hands-on Learning
- Industry-ready Skills
- Project-based Learning
- Comprehensive Curriculum
- Experienced Instructors
- Career Guidance
| Name | Master Python Training in Noida |
| Course Duration | 40+ hours |
| Website | https://futuretechera.com/master-python-training-in-noida/ |
| Address: | C 15, C Block Road, C Block, Sector 65, Noida, Uttar Pradesh 201301 |
| Avg. Google Rating: | 5 |
| Offering Python Training in Noida Since: | 2017 |
| Fees | INR 16,000 |
| Branches in India: | 1 |
| Flagship Course Names: | NA |
| Exclusive Python Institute: | No |
| Training Delivery Model | Online/Offline |
10. Analystmate Academy
Analystmate Academy is a leading institution dedicated to advanced technology education. Emphasizing practical knowledge, industry-focused skills, Analystmate Academy provides courses in software development, Python, data science, and cloud computing. Their expert-driven programs are crafted to empower students and professionals with the expertise and certifications essential for success in the tech industry.
Course Curriculum:
Python Basics:
- Introduction to Python
- Data types (numbers, strings, lists, tuples, dictionaries)
- Operators
- Control flow (if, else, elif, for, while)
- Functions
Intermediate Python:
- Modules and packages
- Object-oriented programming (OOP)
- Exception handling
- File handling
Advanced Python:
- Regular expressions
- Python libraries (NumPy, Pandas, Matplotlib, etc.)
- Data analysis and visualization
- Web development (Django, Flask)
- Machine learning (Scikit-learn)
Course Highlights:
- Practical projects
- Industry-relevant case studies
- Experienced instructors
- Job placement assistance
- Hands-on coding exercises
| Name | Python |
| Course Duration | 3 Months |
| Website | https://analystmate.com/ |
| Address: | Vihaan Galaxy Halduni Mod, Dadri Main Rd, Ecotech III, Greater Noida, Uttar Pradesh 201306 |
| Avg. Google Rating: | 4.5 |
| Offering Python Training in Noida Since: | 2013 |
| Fees | INR 45,000-80,000 |
| Branches in India: | 1 |
| Flagship Course Names: | NA |
| Exclusive Python Institute: | No |
| Training Delivery Model | Online/Offline |
Who should learn Python in Noida ?
If you have a fascination for numbers, enjoy solving puzzles, or find pleasure in uncovering patterns, exploring Python in Noida could be perfect for you! This field isn’t just for computer experts; it’s open to anyone eager to understand and interpret data through programming.
Whether you’ve recently graduated, are a professional seeking a career change, or already work in the tech industry and want to enhance your skills – Python is a welcoming domain for all. Noida, emerging as a significant tech hub, offers an excellent environment to learn and apply these skills across various industries.
Therefore, if the idea of deriving insights from data, predicting future trends, or simply exploring the dynamic realm of programming excites you, Noida provides a supportive atmosphere to begin your journey into the fascinating world of Python!
Why should you study Python?
Studying Python opens up a world of possibilities, and here’s why it’s an adventure worth pursuing! It’s like having a superpower for understanding and manipulating information, allowing you to uncover hidden patterns and predict future trends.
Imagine the potential of improving your favorite apps or helping doctors find better treatments through programming – that’s the significant impact you can make! As businesses worldwide increasingly rely on data-driven decision-making, being proficient in Python makes you a valuable asset across almost every industry.
Python isn’t just for computer experts; anyone with curiosity and a knack for problem-solving can dive into this field. Learning Python is like acquiring a secret code that unlocks exciting opportunities, enabling you to actively contribute to shaping the future! Noida, with its burgeoning tech scene, is the perfect place to start this journey.
Career Scope in Python in Noida
Why Python in Noida?
- Thriving IT Ecosystem: Noida hosts numerous IT companies, startups, and MNCs, creating a robust job market for Python developers.
- Diverse Industry Applications: Python’s versatility finds application in various sectors like finance, e-commerce, healthcare, and more, opening up diverse career paths.
- Focus on Emerging Technologies: Noida is at the forefront of adopting new technologies like AI, ML, and data science, where Python is a cornerstone.
- Competitive Salaries: The high demand for Python talent leads to attractive salary packages for professionals in Noida.
Career Opportunities in Python, Noida
- Web Development: Building dynamic and scalable web applications using frameworks like Django and Flask.
- Data Science and Analytics: Extracting valuable insights from data using libraries like NumPy, Pandas, and Scikit-learn.
- Machine Learning and AI: Developing intelligent systems and algorithms for various applications.
- Automation and DevOps: Automating tasks, streamlining processes, and improving efficiency.
- Financial Technology: Building trading algorithms, risk models, and financial applications.
Tips for Building a Python Career in Noida
- Continuous Learning: Stay updated with the latest Python trends and libraries.
- Practical Experience: Build a strong portfolio of Python projects.
- Networking: Connect with industry professionals and attend tech events.
- Specialization: Consider specializing in a particular domain for better career growth.
Mastering Python Tools
Python expertise can significantly boost your career prospects and earning potential. Knowing Python, data analysis tools, and machine learning techniques is highly valued in today’s job market. Specializing in a particular field can further enhance your career opportunities.
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 Noida
Noida, a tech hub in India, offers promising opportunities for Python freshers. The demand for skilled Python developers is consistently growing, driving salary packages upwards.
Salary Range for Python Freshers in Noida
While salaries can vary based on factors like company size, role, and candidate skills, here’s a general overview of what freshers can expect:
| Salary Range (INR LPA) | Designation |
| 3-4 LPA | Junior Python Developer |
| 4-5 LPA | Python Developer |
| 5-6 LPA | Python Developer with specific skills (e.g., Data Science, Machine Learning) |
Factors Affecting Salary
Several factors influence a fresher’s Python salary in Noida:
- Skills: Proficiency in core Python concepts, data structures, algorithms, and frameworks like Django or Flask can command higher salaries.
- Company: Established tech giants often offer better packages compared to startups.
- Role: Specific roles like data scientist or machine learning engineer may attract higher salaries.
- Negotiation Skills: Effective salary negotiation can positively impact your starting package.
Tips for Freshers
- Build a Strong Portfolio: Showcase your Python projects to potential employers.
- Continuous Learning: Stay updated with the latest Python trends and technologies.
- Networking: Building connections in the industry can open doors to new opportunities.
Current Job Openings in Python in Noida
Python is in high demand across various industries, and Noida offers a thriving job market for Python professionals. Whether you’re a beginner or an experienced programmer, Python training institutes in Noida can equip you with the skills companies are looking for.
Companies across IT, finance, healthcare, and more are seeking individuals skilled in data analysis, machine learning, and predictive modeling. By enrolling in a Python training program, you can gain these valuable skills and land well-paying jobs working on cutting-edge projects.
Ready to take the next step? Research top Python training institutes in Noida using resources like Naukri.com, LinkedIn.com, Indeed.com, and many others. Find a program that fits your learning style and career goals, and unlock your potential in the exciting world of Python!
FAQs: Python Course in Noida
Does Digiperform offer any other courses in addition to the Python course?
Yes, Digiperform offers a range of additional courses alongside the Python course. These include training in digital marketing, data analytics, and machine learning. Each course is designed to complement and enhance your technical skills, providing a well-rounded education to help you excel in various aspects of the tech industry.
Does Digiperform offer mock interviews for students enrolled in the Python Training Program?
Yes, Digiperform provides mock interviews for students enrolled in the Python Training Program. These mock interviews are designed to help students prepare effectively for real-world job interviews, offering them valuable practice and feedback to enhance their interview skills.
Does Digiperform offer any support in securing internships or job opportunities after finishing the Python Training Program?
Absolutely! Digiperform is committed to not just equipping you with Python skills, but also empowering you to launch a successful career in the field.
Our dedicated placement cell works tirelessly to connect you with top-tier companies and provide comprehensive job placement assistance. This includes resume building workshops, mock interviews, and direct connections with our vast industry network. While we can't guarantee a job offer, we are dedicated to providing you with the tools and support necessary to increase your employability and land your dream internship or job.
Does Digiperform's Python Training Program offer extra projects for students?
Absolutely! At Digiperform, we believe in hands-on learning. Our Python training program goes beyond theoretical knowledge by providing ample opportunities for students to work on real-world projects. These extra projects are carefully curated to complement the core curriculum and help students solidify their understanding of Python concepts.
Whether it's building a web application, data analysis, machine learning, or automation, our students get to explore diverse project ideas. This practical experience not only enhances their technical skills but also develops crucial problem-solving and project management abilities. We're committed to equipping our students with the skills they need to excel in the competitive job market.
