Python for Data Analysis- Level 1

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About Course

This course is designed to take you from a complete beginner to a confident data analyst using Python. You will learn how to clean, transform, analyze, and visualize data using powerful Python libraries such as NumPy, Pandas, Matplotlib, plotly express and Seaborn. Through hands-on lessons and real-world projects, you will build practical skills in data manipulation, exploratory data analysis (EDA), handling messy datasets, and visual storytelling. By the end of this course, you will be able to confidently work with datasets, extract insights, and build end-to-end data analysis projects using Python.

Course Content

MODULE 1 OF 8: INTRODUCTION TO PYTHON AND DATA ANALYSIS

  • What is python? Why python for Data Analysis
  • Installing Anaconda
    13:39
  • Working with Jupyter Notebook
    11:03
  • How Data Analysis works (The Data Workflow)
  • Running your first python code
    02:40
  • Introduction to python & Data Analysis

MODULE 2 OF 8: PYTHON BASICS FOR DATA ANALYST

MODULE 3 OF 8: NUMPY FOR DATA ANALYSIS

MODULE 4 OF 8: DATA MANIPULATION WITH PANDAS

MODULE 5 OF 8: EXPLORATORY DATA ANALYSIS (EDA)

MODULE 6 OF 8: DATA VISUALIZATION (MATPLOLIB & SEABORN)

MODULE 7 OF 8: WORKING WITH REAL WORLD DATA

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