Python for Data Analysis
Data analysis is one of the most in-demand skills in today's job market. This course teaches you how to use Python and its powerful libraries to extract insights from raw data.
You will work with real datasets from industries like finance, healthcare, and e-commerce. Learn to clean messy data, perform statistical analysis, create compelling visualizations, and present your findings to stakeholders.
No prior programming experience is required. We start with Python basics and gradually build up to advanced analytical techniques.
You will work with real datasets from industries like finance, healthcare, and e-commerce. Learn to clean messy data, perform statistical analysis, create compelling visualizations, and present your findings to stakeholders.
No prior programming experience is required. We start with Python basics and gradually build up to advanced analytical techniques.
Course Curriculum
1
Python Programming Basics
2
NumPy Arrays & Operations
3
Pandas DataFrames
4
Data Cleaning & Preprocessing
5
Exploratory Data Analysis
6
Data Visualization with Matplotlib & Seaborn
7
Statistical Analysis
8
Time Series Analysis
9
Real-World Case Studies
10
Building Analysis Reports