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Master Python from scratch — the most essential skill for every aspiring data scientist!
This beginner-friendly course teaches you everything about Python, with data science-focused examples, real-world problem-solving, and 2 complete end-to-end projects to solidify your learning.
1. Python Basics
1.1 Variables, Data Types, Typecasting
1.2 Conditional Statements, Loops, Input/Output
1.3 Functions, Lambda, Modules, Built-ins
2. Working with Data
2.1 Reading & Writing Files (CSV, JSON, TXT)
2.2 String Manipulation, Regular Expressions
2.3 Working with Dates & Times
3. Python Data Structures
3.1 Lists, Tuples, Sets, Dictionaries
3.2 Indexing, Slicing, Nesting
3.3 Common operations & real-life use cases
4. Error Handling & Debugging
4.1 Try/Except Blocks
4.2 Common Python Errors
4.3 Debugging Techniques
5. List Comprehension & Generators
5.1 One-liners to write cleaner & faster code
5.2 Iterators, Generators & Lazy Evaluation
6. Python for Data Analysis
6.1 Intro to NumPy and Pandas
6.2 DataFrames, Series, Indexing, Filtering
6.3 Aggregation, Grouping, Sorting, Merging
7. Data Visualization with Python
7.1 Basic plots using Matplotlib
7.2 Beautiful charts with Seaborn
7.3 Histograms, Bar charts, Scatter plots
8. Basic Automation & Scripting
8.1 Python Scripts for data cleaning
8.2 Automating repetitive tasks
8.3 Intro to working with APIs & Web scraping
9. End-to-End Projects
9.1 Project 1: Real-world Data Cleaning + Analysis
9.2 Project 2: Automate & Visualize Data Storytelling
1. Students or professionals starting their Data Science journey
2. Anyone who wants to learn Python practically
3. No prior programming knowledge needed!
👨💻 100% Practical | Real Datasets | 2 End-to-End Projects | Beginner to Confident Coder in Weeks — and that too completely FREE.