Python Training in Hyderabad

12 Lesson

40 Hours

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igmGuru is one of the leading institutes offering Python Training in Hyderabad with Data Science. Our course syllabus is designed by industry experts to align with current market trends. In this program, you will learn Python fundamentals, object-oriented programming, data structures, file handling, web development and automation with hands-on practice. Our course is best for both beginners and professionals seeking to upgrade their coding skills. Enroll now to build a strong foundation in Python and advance your career in web development.

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Python Course in Hyderabad Overview

igmGuru provides the best Python course in Hyderabad, which offers a complete learning path to master one of the most in-demand programming languages with placement guidance.

Prerequisites for the Python course in Hyderabad

Any Degree or Basic Educational Qualification required
No Programming Knowledge Required
Basic Computer Knowledge is helpful

What Will You Learn

Introduction to Python
Python Syntax, Variables, and Data Types
Conditional Statements and Loops
Functions and Modules
Object-Oriented Programming (OOPs)
Error Handling and Exceptions
Working with Databases (SQLite, MySQL)
Python for Web Development (Flask/Django)
Data Manipulation
Machine Learning
Data Science
Using Libraries: NumPy, Pandas, Matplotlib
Automation and Scripting

Benefits of Python Classes in Hyderabad

Job-Ready Syllabus: Focus on practical skills needed for real programming roles.
Industry Expert Mentors: Learn from professionals with hands-on coding experience.
Flexible Learning Options: Choose between online and classroom training formats.
Hands-On Practice: Build mini-projects and work on real-time coding problems.
Certification Support: Get a completion certificate to add value to your resume.
Career Guidance: Assistance with job applications, internships, and mock interviews.

Job Opportunities After Python Training in Hyderabad

Python Developer
Software Engineer
Automation Engineer
Data Analyst (with Python skills)
Junior Backend Developer
Machine Learning Intern (entry-level)

Future of Python

Python is growing very fast. It is used in many areas like:

Software development
Data science
Machine learning
Artificial intelligence
Web development
Automation

Python has a strong community and is getting better with time. It will be important in the tech world for many years.

Python Developer's Salary

Python developers are in huge demand across professions. (Source)

Starting level: They earn ₹4 LPA to ₹6 LPA.
Mid-level: They get promoted and earn ₹7 LPA to ₹12 LPA.
Senior level: They earn ₹15 LPA or more.

Your salary depends on your skills, experience, and job location.

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

Python Institute in Hyderabad Modules

Lesson 1 - Introduction of Python

1. What is Python?

2. Installing Python

3. Python Syntax and Indentation

Lesson 2 - Data Analytics & Data Science 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

8. Data Science with Python

9. Processes in Data Science

10. Data Scientists

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 - Python: 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 with Python (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 with Python (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 with Python (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 with Python (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 in Python 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 - Data Science with Python 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 - Python 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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Python Course Fees in Hyderabad

Online Class Room Program

US $ 599.00

100% Money Back Guarantee

Duration : 40 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 29 May 2026
Weekday Batch 01 Jun 2026
Weekend Batch 30 May 2026

Corporate Training

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

Trusted By Top Companies Worldwide

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

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Python Training in Hyderabad

Python Course in Hyderabad Overview