Python Course in Hyderabad

13 Lesson

40 Hours

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Enroll in the best Python training institute in Hyderabad, which is designed for everyone from beginners to IT professionals. In this course, you will learn how to write code for data analysis, automation, AI &ML, and web development. We have successfully trained over 500 individuals. Enroll in our Python classes to prepare for the PCAP – Certified Associate in Python Programming exam and become certified.

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Overview

Python is one of the most popular and open-source programming languages in the world. Our training program covers Python fundamentals, control structures, libraries, and object-oriented programming.

Prerequisites

No prior programming experience required
Basic understanding of computers and file systems
Interest in coding, data, or web technologies

What You Will Learn in Python training in Hyderabad

Fundamentals of Python Programming
Real-World Problem Solving with Python
Object-Oriented Programming (OOP)
Python Libraries: Pandas, NumPy, Matplotlib
Web Applications with Flask or Django
File Handling & Exception Management
Task Automation with Python Scripts
AI & Machine Learning Basics
Mini-Projects & Practical Assignments
Prepare for the PCAP – Certified Associate in Python Programming exam

We Also Cover Trending Topics

FastAPI – Python framework for building APIs
Generative AI tools – Using Python with OpenAI API, LangChain, and Hugging Face
Python for Cloud Computing – AWS Lambda, Google Cloud Functions, Azure SDKs

Tools Covered in Python Classes in Hyderabad

Python (Latest Version)
Jupyter Notebook
VS Code (Visual Studio Code)
Anaconda Distribution
Git & GitHub
Flask / Django (for web development)
Pandas, NumPy, Matplotlib, Seaborn
OpenAI API / LangChain

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

Course Curriculum

Lesson 1 - Introduction

1. What is Python and why it's popular

2. Installing Python and IDEs (VS Code, Jupyter) with Python script

3. Understanding syntax and indentation

Lesson 2 - Python Fundamentals

1. Variables, data types, and type casting

2. Input/output functions

3. String manipulation and formatting

4. Operators and expressions

Lesson 3 - Control Flow

1. Conditional statements

2. Loops and Loop control statements

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

Lesson 13 - Trending Python Topics

1. FastAPI for API development

2. Using OpenAI API & LangChain for AI apps

3. Cloud integration with AWS/GCP

4. Python scripting for DevOps and CI/CD basics

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+91 7240740740 (India)

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Course Fees

Online Class Room Program

US $ 599.00

100% Money Back Guarantee

Duration : 40 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 28 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

Python Certification

After completing the Python training, you will receive a recognized certificate to validate your skills.

The official certification exam names are PCAP- Certified Associate in Python Programming (exam code PCAP-31-03) and PCEP (Certified Entry-Level Python Programmer), issued by the Python Institute.

Exam Cost

The PCAP exam costs $295 (approximately ₹24,600), and for PCEP, it is $59 (approximately ₹5,340)

With optional bundles that include a retake or a practice test. Local taxes may apply and affect the final price.

PCEP vs PCAP Certification - Which Should You Choose?

Feature	PCEP (Certified Entry-Level Python Programmer)	PCAP (Certified Associate in Python Programming)
Certification Level	Entry-Level	Associate-Level
Ideal For	Absolute beginners starting Python	Learners with basic Python knowledge
Difficulty Level	Easy	Moderate
Focus Area	Python fundamentals and basic syntax	Advanced concepts including OOP, modules, and packages.
Topics Covered	Data types, control flow, functions, basic operations	OOP, exceptions, modules, packages, advanced data handling
Recommended Experience	No prior experience required	6-12 months of Python practice
Exam Code	PCEP-30-02	PCAP-31-03
Exam Duration	45 minutes	65 minutes (+10 minutes NDA/tutorial)
Number of Questions	30	40
Passing Score	70%	70%
Certification Provider	Python Institute	Python Institute
Career Impact	Helps start a programming career	Strengthens resume for developer roles
Best Choice If	You are new to programming	You want professional-level Python validation

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