Python Training in Chennai

12 Lesson

40 Hours

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Enroll in the best Python training institute in Chennai and Learn how to use Python programming to work with data, create charts, and build machine learning models. You will get hands-on practice with real projects that prepare you for a career in data science or AI.
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Python Course in Chennai Overview

This Python coaching in Chennai helps you learn a programming language from the beginning and use it for real-world tasks. Our course includes Python basics, working with datasets using Pandas and NumPy, making charts with Matplotlib and Seaborn, and using machine learning tools.

Objectives

Learn the basics of Python programming used in data science.
Understand how to analyze data and use machine learning.
Work with popular tools like Pandas, NumPy, Matplotlib, and Scikit-learn.
Practice with real-world projects and case studies.
Get ready for data science job roles and certifications.

Key Topics Covered in Python training in chennai

Introduction to Data Science and Python
Working with data using Pandas and NumPy
Creating charts and graphs using Matplotlib and Seaborn
Exploring and analyzing data
Basic statistics and testing
Machine Learning: classification, regression, clustering
Evaluating model performance
Projects using real data
Basics of Deep Learning
Model deployment using simple tools like Flask or Streamlit

What Will You Learn

Use Python to clean, analyze, and visualize data.
Build and test machine learning models.
Work on complete data science projects from start to finish.
Understand business problems and solve them using data.
Follow best practices in coding and model building.

The course offers flexible online learning with live classes, recorded videos, and support anytime. It’s perfect for both students and professionals.

Who Can Take Python Classes in Chennai

Students from computer, math, or engineering backgrounds
IT professionals who want to move into data science
Business analysts or developers
Anyone interested in learning data science with Python

You don’t need to know data science already. Basic programming knowledge is helpful but not required.

Why Learn Python Programming in Chennai

Chennai has many job opportunities in data science and analytics
Many companies are hiring people with data science skills
You can learn from experienced trainers and work on real projects
It’s a great way to increase your salary and grow your career

This course will give you the skills you need for a strong and future-ready career in data science.

Key Features

Instructor Led Training : 40 Hrs
Experienced & Professional Trainers
Small Batches Upto 10 Participants
24 X 7 Lifetime Support & Access
1 On 1 Training Option Available
Flexible Schedule

Syllabus

Lesson 1 - Data Science Overview

1. Data Science

2. Data Scientists

3. Examples of Data Science

4. Python for Data Science

Lesson 2 - Data Analytics Overview

1. Introduction to Data Visualization

2. Processes in Data Science

3. Data Wrangling, Data Exploration, and Model Selection

4. Exploratory Data Analysis or EDA

5. Data Visualization

6. Plotting

7. Hypothesis Building and Testing

Lesson 3 - Statistical Analysis and Business Applications

1. Introduction to Statistics

2. Statistical and Non-Statistical Analysis

3. Some Common Terms Used in Statistics

4. Data Distribution: Central Tendency, Percentiles, Dispersion

5. Histogram, Bell Curve, Hypothesis Testing

6. Chi-Square Test, Correlation Matrix, Inferential Statistics

Lesson 4 - Environment Setup and Essentials

1. Introduction to Anaconda

2. Installation of Anaconda Python Distribution - For Windows, Mac OS, and Linux

3. Jupyter Notebook Installation, Jupyter Notebook Introduction

4. Variable Assignment

5. Basic Data Types: Integer, Float, String, None, and Boolean; Typecasting

6. Creating, accessing, and slicing tuples

7. Creating, accessing, and slicing lists

8. Creating, viewing, accessing, and modifying dicts

9. Creating and using operations on sets

10. Basic Operators: 'in', '+', '*', Functions, Control Flow

Lesson 5 - Mathematical Computing (NumPy)

1. NumPy Overview

2. Properties, Purpose, and Types of ndarray

3. Class and Attributes of ndarray Object

4. Basic Operations: Concept and Examples

5. Accessing Array Elements: Indexing, Slicing, Iteration, Indexing with Boolean Arrays

6. Copy and Views, Universal Functions (ufunc)

7. Shape Manipulation, Broadcasting, Linear Algebra

Lesson 6 - Scientific computing (Scipy)

1. SciPy and its Characteristics, SciPy sub-packages

2. SciPy sub-packages â€“Integration, SciPy sub-packages â€“ Optimize

3. Linear Algebra

4. SciPy sub-packages â€“ Statistics, SciPy sub-packages â€“ Weave

5. SciPy sub-packages - I O

Lesson 7 - Data Manipulation (Pandas)

1. Introduction to Pandas

2. Data Structures, Series, DataFrame, Missing Values

3. Data Operations, Data Standardization

4. Pandas File Read and Write Support

5. SQL Operation

Lesson 8 - Machine Learning (Scikitâ€“Learn)

1. Introduction to Machine Learning

2. Machine Learning Approach

3. How Supervised and Unsupervised Learning Models Work

4. Scikit-Learn

5. Supervised Learning Models - Linear Regression, Logistic Regression

6. K Nearest Neighbors (K-NN) Model

7. Unsupervised Learning Models: Clustering, Dimensionality Reduction

8. Pipeline, Model Persistence, Model Evaluation - Metric Functions

Lesson 9 - Natural Language Processing with Scikit-Learn

1. NLP Overview

2. NLP Approach for Text Data

3. NLP Environment Setup

4. NLP Sentence analysis, NLP Applications

5. Major NLP Libraries, Scikit-Learn Approach

6. Scikit - Learn Approach Built - in Modules, Scikit - Learn Approach Feature Extraction

7. Bag of Words, Extraction Considerations

8. Scikit - Learn Approach Model Training

9. Scikit - Learn Grid Search and Multiple Parameters

10. Pipeline

Lesson 10 - Data Visualization using Matplotlib

1. Introduction to Data Visualization

2. Python Libraries, Plots

3. Matplotlib Features: Line Properties Plot with (x, y), Controlling Line Patterns and Colors, Set Axis, Labels, and Legend Properties, Alpha and Annotation, Multiple Plots, Subplots

4. Types of Plots and Seaborn

Lesson 11 - Web Scraping

1. Web Scraping

2. Common Data/Page Formats on The Web

3. The Parser, Importance of Objects

4. Understanding the Tree, Searching the Tree

5. Navigating options, Modifying the Tree

6. Parsing Only Part of the Document

7. Printing and Formatting, Encoding

Lesson 12 - Integration with Hadoop, MapReduce and Spark

1. Need for Integrating Python with Hadoop

2. Big Data Hadoop Architecture

3. MapReduce, Cloudera QuickStart VM Set Up

4. Apache Spark

5. Resilient Distributed Systems (RDD)

6. PySpark, Spark Tools

7. PySpark Integration with Jupyter Notebook

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+91 7240740740 (India)

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Python Classes Fees

Online Class Room Program

US $ 599.00

100% Money Back Guarantee

Duration : 40 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 08 Jul 2026
Weekday Batch 13 Jul 2026
Weekend Batch 11 Jul 2026

Corporate Training

Customized Training Delivery Model
Flexible Training Schedule Options
Industry Experienced Trainers
24x7 Support

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Want to know Today's Offer

Data Science with Python Certification Exam

Official certification exam name is Data Science with Python - Certified Associate (varies by provider)

Exam Format

Duration: 90 to 120 minutes
Number of Questions: 60–80
Passing Score: 65–70%
Type: Multiple-choice, multiple-response, and coding-based questions
Mode: Online (proctored) or in-person at certified centers

Exam Cost

Fee: $150 to $295 USD depending on certification provider

igmGuru provides a Course Completion Certificate for Data Science with Python Training. This certification validates your knowledge in Python for data analysis, visualization, and basic machine learning concepts. It also confirms your understanding of tools such as Pandas, NumPy, Matplotlib, and Scikit-learn used in data science projects. This certification can support roles such as Data Analyst, Junior Data Scientist, and Python Developer.

Data Science with Python Certification Exam

Common Questions

Are there any other Certification courses igmGuru offers?

Yes, igmGuru offers several other online certification courses. These include specialized online certification courses, tailored to different levels. igmGuru, greatly emphasizes upskilling and boosting career opportunities across any industry sectors, with each online certification course designed to help learners enhance their expertise.

Are there any other online courses igmGuru offers under Business Intelligence?

Yes, igmGuru offers several other online courses under Business Intelligence. These include specialized online courses, tailored to different skill levels. igmGuru greatly emphasizes upskilling and boosting career opportunities across IT industry sectors, with each online course designed to help learners enhance their expertise in Business Intelligence. Below are few courses.

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+91-7240-740-740

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Python Training in Chennai