Master Python Programming: From Basics to Data Projects

Categories: Programming
Wishlist Share
Share Course
Page Link
Share On Social Media

About Course

This course is your all-in-one beginner’s guide to Python — no prior experience needed. Whether you’re aiming to automate tasks, analyze data, or build web scrapers, this course will walk you through each concept using video lessons and real coding exercises.

We combine hand-picked YouTube videos and GitHub notebooks into a structured path — with motivation breaks, checkpoints, and project-based learning. All tools used are open source, and you’ll be ready to apply Python to real-world scenarios by the end of the course.

✔️ Learn the core syntax, logic, and functions of Python
 ✔️ Build projects like a BMI calculator and a file sorter
 ✔️ Master data analysis using Pandas and create visualizations
 ✔️ Understand how to scrape real websites using BeautifulSoup
 ✔️ Learn Regular Expressions for advanced text operations

Perfect for college students, working professionals, and anyone looking to start with Python in a practical, no-nonsense way.

Video Attribution

Some video content used in this course is sourced from third-party creators under the Creative Commons Attribution license.

These videos are reused with permission for educational purposes, and proper credit is given to the original authors.

  • Creator: Alex Freberg

  • Source: Alex The Analyst

  • Link: https://www.youtube.com/@AlexTheAnalyst

  • License: Creative Commons Attribution license (reuse allowed)

  • Modifications: Minor edits may have been made for structure or clarity.

 

Show More

What Will You Learn?

  • Write clean and efficient Python code using core concepts like variables, loops, functions, and conditionals
  • Work with lists, tuples, sets, and dictionaries to store and process structured data
  • Use file handling to read from and write to files
  • Handle exceptions and errors in your code gracefully
  • Make API calls and process JSON data using the requests library
  • Use regular expressions (Regex) to match and clean text patterns
  • Analyze and manipulate data using Pandas and NumPy
  • Create beautiful charts and graphs with Matplotlib and Seaborn
  • Work in Google Colab, a cloud-based coding environment, for instant access and collaboration
  • Build and showcase mini-projects like a BMI calculator, file sorter, weather app, crypto dashboard, and more
  • Upload projects to GitHub and enhance your LinkedIn and resume with real-world Python experience

Course Content

Getting Started with Python
You’ll learn: What Python is and why it's one of the most in-demand languages today How to install Anaconda — a beginner-friendly Python distribution How to launch Jupyter Notebook and write your first line of Python code

  • Welcome & Course Overview
  • Installing Python, Anaconda, and Jupyter Notebook
    10:03

Python Programming Foundations
You’ll learn: Variables and Data Types, Comparison, Logical, and Membership Operators, Conditional Statements: If, Elif, Else, Loops: For and While Loops, Functions in Python, Type Casting and Conversion

Additional Concepts for Real Python Coding
You'll Learn: String Handling & String Methods, Working with Lists, Tuples, Sets, and Dictionaries, Exception Handling (try-except blocks), File Handling (open, read, write files), Working with Python Packages (pip install, importing libraries), Using Python’s datetime module for date/time manipulation

Practical Mini Projects
In this module, we'll build few mini projects

Web Scraping with BeautifulSoup
You'll learn: Understanding HTML Structure, Using requests to fetch data, Using BeautifulSoup to parse HTML, Practical: Scraping Tables from Real Websites, Ethics and legality in scraping

Working with Data using Pandas
You'll Learn: Reading CSV, Excel, JSON, and TXT Files, Filtering and Sorting DataFrames, Indexing, Grouping, Aggregating, Merging and Concatenating DataFrames, Data Cleaning (missing values, formats), Data Visualization (bar plots, pie charts, histograms), Exploratory Data Analysis (EDA)

Regular Expressions in Python
You'll Learn: Character Classes, Metacharacters, re module methods: findall, search, match, sub, Real Use Cases in Text Data Cleaning

Advanced Topics
You'll Learn: Introduction to APIs in Python, Introduction to NumPy, Introduction to Matplotlib, Using Python in Google Colab

Career Preparation & Resume Building
You'll Learn: Showcasing Python on Your Resume, Upgrading Your LinkedIn Profile, Creating a GitHub Portfolio, Next Steps After This Course, Review Quiz

Student Ratings & Reviews

No Review Yet
No Review Yet
Scroll to Top