Skills & Outcomes
What Will You Learn?
Understand Python syntax, variables, data types, and operators
Master control flow — if/else, loops, and conditional logic
Write reusable functions and work with Python modules
Handle files and exceptions for robust, production-ready code
Dive into OOP — classes, objects, inheritance, and encapsulation
Manipulate data using NumPy arrays and Pandas DataFrames
Create data visualizations using Matplotlib
Apply Python to real business analytics case studies
Complete a final Capstone project tying all concepts together
Build a strong Python foundation for data science, automation, and analytics
Target Audience
Who Should Take This Course?
Beginners with no prior programming experience
Students from non-technical backgrounds wanting to learn Python
Anyone starting a career in software development or data science
Professionals wanting to upskill and automate tasks with Python
Business professionals transitioning to analytics or data roles
Job seekers targeting analytics, automation, or backend development roles
Software & Platforms
Tools You'll Work With
From installation to your first query — we cover everything.
Python
The world's most popular programming language for data science, automation, and analytics.
Pandas & NumPy
Industry-standard Python libraries for data manipulation, analysis, and numerical computing.
Matplotlib
Create professional charts, graphs, and visualizations to communicate data insights clearly.
OOP & Modules
Object-oriented programming, functions, file handling, and exception management in Python.
Course Content
Course Curriculum
9 modules • 34 lessons • 20 hours of content • Quizzes & practice exercises included
- ▶Introduction to Python and SetupFREE PREVIEW08:00
- ▶Your First Python Program: Learn Print() from basics — Part 105:00
- ▶Your First Python Program: Learn Print() from basics — Part 216:00
- ▶Understanding Variables in Python24:00
- ▶Understanding Data Types in Python | Part 131:00
- ▶Understanding Data Types in Python | Part 221:00
- ▶Understanding Data Types in Python | Part 316:00
- ▶Understanding Data Types in Python | Part 412:00
- ▶Understanding Operators in Python47:00
- ▶Understanding Control Flow in Python — Part 149:00
- ▶Understanding Control Flow in Python — Part 235:00
- ▶Understanding Control Flow in Python — Part 354:00
- ▶Understanding Functions and Modules in Python — Part 126:00
- ▶Understanding Functions and Modules in Python — Part 238:00
- ▶Understanding Functions and Modules in Python — Part 316:00
- ▶Understanding Functions and Modules in Python — Part 448:00
- ▶Understanding Functions and Modules in Python — Part 539:00
- ▶Understanding Functions and Modules in Python — Part 606:00
- ▶Exception Handling in Python28:00
- ▶File Handling in Python42:00
- ▶Exception and File Handling Examples23:00
- ▶Introduction to Object Oriented Programming (OOP)11:00
- ▶Variables in Classes of Object Oriented Programming21:00
- ▶Understanding Inheritance in Object Oriented Programming26:00
- ▶Understanding Encapsulation in Object Oriented Programming23:00
- ▶Abstraction and Polymorphism in Object Oriented Programming17:00
- ▶Example Program on Object Oriented Programming42:00
- ▶Introduction to NumPy Library in Python39:00
- ▶Introduction to Pandas Library in Python33:00
- ▶Introduction to Pandas Library in Python (Contd.)16:00
- ▶Practice Program on NumPy and Pandas17:00
- ▶Introduction to Matplotlib Library in Python01:01:00
- ▶Program on Matplotlib Library in Python10:00
- ▶Final Project on Python38:00
Recognition
Certificate You'll Earn
- Industry-recognized certificate awarded on completing the course and all quizzes.
- Unique verifiable ID that employers and recruiters can validate online.
- LinkedIn-shareable — add it directly to your Licenses & Certifications in one click.
- Backed by SkillLearn's hiring partner network for placement support.
Verifiable Certificate
Common Questions
Frequently Asked Questions
Not at all. This course starts from absolute zero — we cover what Python is, how to install it, and write your very first program before touching any complex concepts. If you can use a computer, you're ready.
The course uses Python 3 (latest version). Installation is covered in the very first lesson — it's free and works on Windows, Mac, and Linux. We also set up VS Code as the IDE.
Lifetime access. Once enrolled you can revisit any lesson at any time, including future content updates added to the curriculum.
Yes. After earning your certificate you get access to SkillLearn's hiring partner network, resume review, and mock interview sessions with mentors.
Yes. All lessons are pre-recorded. You can pause, rewatch, and complete the course on your own schedule. Live Q&A sessions are optional extras.
Yes. Modules 7 and 8 cover NumPy, Pandas, and Matplotlib — the three core Python data science libraries. You'll also complete a Capstone Project applying everything to a real business dataset.