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Self Paced Course Python Training

Learn Python from fundamentals to advanced programming with flexible, self-paced training. Build practical skills in data types, functions, modules, object-oriented programming and Python libraries for data analysis and automation.

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About Course

This self-paced Python training course is designed for learners who prefer flexibility without compromising on quality. Whether you’re a complete beginner or someone looking to upskill, this course allows you to learn Python programming at your own pace, anytime and anywhere. The course covers fundamental to advanced Python concepts, including data types, control structures, functions, modules, object-oriented programming, and popular libraries used in data analysis and automation.

With a rich mix of video tutorials, interactive quizzes, and hands-on coding exercises, learners can reinforce their understanding and build real-world skills. This Python training course empowers you to master Python on your schedule, making it ideal for working professionals, students, or anyone balancing learning with other commitments.

Key Features Provided by Geeks Analytics

On-Demand Learning

Access high-quality video lectures and course materials anytime, anywhere.

Comprehensive Curriculum

Learn everything from basics to advanced topics with clear, structured content.

Hands-On Exercises

Practice through quizzes, assignments, and real-world projects.

Flexible Access

Compatible with multiple devices, so you can learn on desktop, tablet, or mobile.

Lifetime Access

Revisit course content anytime for refresher or advanced learning.

Certification

Earn a certificate of completion to validate your skills.

Expert Support

Dedicated support team available for doubt resolution via forums and chat.

Community Engagement

Connect with fellow learners to share knowledge and stay motivated.

What Will You Learn?

01

Understand the basics of Python programming language and its syntax.

02

Implement control flow using loops and conditional statements.

03

Apply object-oriented programming concepts in Python.

04

Use Python libraries such as NumPy and Pandas for data manipulation.

05

Automate repetitive tasks and scripts using Python.

06

Develop simple projects to apply Python skills in real-world scenarios.

07

Work with Python data types like strings, lists, tuples, dictionaries, and sets.

08

Write reusable code with functions and modules.

09

Handle files and perform data input/output operations.

10

Perform data analysis and visualization with Python tools.

11

Debug and troubleshoot Python code effectively.

12

Prepare for Python programming job roles with practical coding exercises.

Python Training Course

Course Content

Section 1: Introduction and Setup

Lesson 1: What is Python? Introduction to Python’s History, Uses, and More.
Lesson 2: Installing & Setting up Python, Virtual Environment and Packages.
Lesson 3: Understanding Python Programming & Syntax.
Lesson 4: Variables and Data Types in Python
Lesson 5: Basic Input and Output in Python

Section 2: Data Structures, Operators and Control Flow

Lesson 6: Strings Operations & Slicing
Lesson 7: Lists & Tuples in Python
Lesson 8: Sets and Dictionaries in Python
Lesson 9: Exploring Common Python Functions
Lesson 10: Conditional Statements (Making Decisions in Code)
Lesson 11: Introduction to Loops (For Loop)
Lesson 12: While Loop Concept and Loops with Conditions
Lesson 13: Loop Control (Break, Continue, Else, Enumerate and Zip)
Lesson 14: Operators in Python
Lesson 15: Comprehensions (Writing Concise Loops)

Section 3: Functions and Modules

Lesson 16: Functions, Parameters, Return Values and Default Parameters
Lesson 17: Types of Function Argruments in Python
Lesson 18: Local versus Global Scope in Python
Lesson 19: Lambda and Functional Tools
Lesson 20: Modules and Packages
Lesson 21: Standard Library Modules

Section 4: File I/O & Exception Handling

Lesson 22: Working with Files (r, w, a, r+ modes) and File Paths.
Lesson 23: File Reading Techniques
Lesson 24: Writing and Appending to Files
Lesson 25: Working with CSV and JSON
Lesson 26: Introduction to Exceptions
Lesson 27: Exception Handling Best Practices

Section 5: Object-Oriented Programming (OOP)

Lesson 28: Introduction to Object-Oriented Programming
Lesson 29: Defining Classes and Creating Objects
Lesson 30: Instance Methods and Class Variables
Lesson 31: Encapsulation & Access Control
Lesson 32: Inheritance and Sub-Classes
Lesson 33: Polymorphism
Lesson 34: Abstract Classes and Interfaces
Lesson 35: Applying OOP Concepts

Section 6: Iterators, Generators & Advanced Functions

Lesson 36: Iterators and Iterables in Python
Lesson 37: Generators and Yield
Lesson 38: Decorators and Argparse in Python
Lesson 39: Type Hints and Pydantic in Python
Lesson 40: Multithreading and Multiprocessing

Capstone Project

Geeks Analytics Course Fees

Basic

₹499

Course Completion Certificate
Lifetime Access
Moneyback Guarantee
Resume and LinkedIn Optimization
Doubt Clearing Sessions
Job Referrals and Interview Preparation

Plus

₹1,999

Course Completion Certificate
Lifetime Access
Moneyback Guarantee
Resume and LinkedIn Optimization
Doubt Clearing Sessions
Job Referrals and Interview Preparation

Pro

₹9,999

Course Completion Certificate
Lifetime Access
Moneyback Guarantee
Resume and LinkedIn Optimization
Doubt Clearing Sessions
Job Referrals and Interview Preparation

Premium

₹19,999

Course Completion Certificate
Lifetime Access
Moneyback Guarantee
Resume and LinkedIn Optimization
Doubt Clearing Sessions
Job Referrals and Interview Preparation

Ultimate

₹29,999

Course Completion Certificate
Lifetime Access
Moneyback Guarantee
Resume and LinkedIn Optimization
Doubt Clearing Sessions
Job Referrals and Interview Preparation

Geeks Analytics Certification

Industry-aligned ai & data analytics course programs with recognized certifications to help you upskill, grow, and advance your career with confidence.

Requirements

Audience

Beginners and Freshers who want to start a career in programming or data science.

Working Professionals looking to upskill or switch to Python-based roles.

Students and Graduates from any discipline aiming to add programming to their skill set.

Data Analysts and Excel Users wanting to automate workflows and handle large datasets efficiently.

Software Developers interested in adding Python to their programming toolkit.

Automation Engineers and Testers exploring Python for scripting and process automation.

Entrepreneurs and Business Analysts who want to work with data and build prototypes.

Freelancers and Hobbyists looking to create small tools, apps, or automate everyday tasks.

Anyone Curious About Coding who wants a flexible, beginner-friendly path into tech.

What Our Students Have To Say

Real learners. Real results. See how Geeks Analytics is changing careers and leveling up skills every day.

I used to struggle with connecting dashboards to KPIs in my day-to-day work, but the Data Visualization using Power BI course completely changed my perspective. Geeks Analytics helped me learn how to present insights effectively to end users through interactive dashboards, and I’m already noticing the impact in my workplace. Highly recommended!

“As someone without a programming or stats background, I worried this would be too technical. But the content of Geeks Analytics was approachable, practical, and built progressively. The team made sure everyone could follow along. I’m genuinely confident now in SQL, Python, and visualization tools.”

I’ve completed the Power BI Course with Geeks Analytics. It was a valuable learning experience where I gained hands-on skills in data cleaning, dashboard creation and using DAX to generate insights. The course was practical and well-structured, making it easy to apply concepts to real-world scenarios. Grateful to the team for their support!

I’ve successfully completed the Power BI course with Geeks Analytics. This journey helped me develop practical skills in data cleaning, building interactive dashboards and using DAX to derive meaningful insights. The course was well-organized and focused on real-world applications, making it easy to understand. Thankful to the team for their guidance!

“The Geeks Analytics course transformed my analytics skills—from Excel to Power BI and Python. Projects with real world datasets solidified what I learned in class. The instructors were accessible and thorough. Thanks to the structured curriculum, I now confidently say I’m job-ready!”

“The instructors at Geeks Analytics spoke from real industry experience. They taught concepts and showed how they’re applied in real jobs. I got guidance during mock interviews, and I feel fully prepared to enter analytics roles.”

Frequently Asked Questions

Are your Python courses for beginners suitable?

Yes, the Python training course is designed specifically for beginners and introduces Python programming step by step through easy-to-follow lessons and hands-on exercises.

Does your Python automation testing training include practical exercises?

Yes, the training includes hands-on exercises and projects focused on automation testing, scripting, workflow automation, and problem-solving using Python.

Can I learn python course online at my own pace?

Yes, the online learning format allows students and working professionals to study flexibly according to their own schedules and learning preferences.

Is this an affordable python course for students and professionals?

Yes, the course is designed to provide accessible and practical Python training for learners looking to develop valuable programming and automation skills without excessive costs.

Is your python course for students helpful for academic growth?

Absolutely. Students can build foundational programming knowledge, improve logical thinking, and develop coding skills that support academic and career development.

How can this python course for job preparation help me?

The course helps learners build practical programming, automation, and problem-solving skills that are commonly required in software development, analytics, testing, and IT roles.

Do I need prior coding experience to join the course?

No, prior coding experience is not required. The course starts with basic concepts and gradually progresses to more advanced Python programming techniques.

Are hands-on projects included in the training?

Yes, learners complete practical assignments and coding projects to strengthen their understanding of Python programming and real-world applications.

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