Basics of Python – From Zero to Data Projects

Description

✅ What You Will Learn

📌 Module 1 – Get Started with Python

• Introduction to Python & Why It’s Popular

• Setting Up Your Python Environment

📌 Module 2 – Python Basics

• Data Types & Variable Assignments

• String Operations: Slicing & Indexing

• Working with Numbers & Booleans

📌 Module 3 – Data Structures in Python

• Lists, Dictionaries, Sets, and Tuples

📌 Module 4 – Python Statements and Loops

• Comparison Operators & Conditional Statements

• For Loops, While Loops, and List Comprehensions

📌 Module 5 – Methods and Functions

• Basics & Built-in Functions

• Defining, Calling, and Organizing Functions

📌 Module 6 – Your First Python Project

• Apply Your Knowledge in a Simple Python Application

Advanced Python Concepts

📌 Module 7 – Python for Data Analysis

• Understanding Python Packages

• Introduction to NumPy & Pandas

• Reading CSV Files with Pandas

📌 Module 8 – Dive Deep Into Pandas

• Series & Index-Based Extraction

• Filtering, Transformations, Aggregations

• Merging, Joining, and Concatenating DataFrames

• Working with Dates, Pivot/Unpivot, Data Types

• Data Visualization with Pandas

📌 Module 9 – Working with Databases & Other File Types

• Connecting to SQL Databases

• Reading/Writing Data from SQL, Excel, JSON

📌 Module 10 – ETL and Data Pipelines with Python

• ETL Overview

• Implementing Slowly Changing Dimensions (SCD 1, 2)

📌 Module 11 – Build End-to-End Data Pipeline

• Extract from API → Clean & Transform → Load to SQL → Visualize in Tableau

📌 Module 12 – Final Project & Road Ahead

• Build a Complete Data Project Integrating All Skills Learned

👤 Who Is This Course For?

• Beginners learning programming for the first time

• Data Analysts & BI Developers transitioning into Python

• Aspiring Data Scientists building foundational skills

• Anyone who wants to automate tasks and work with data