Data Analysis with Python

Course Overview

Data Analysis with Python is a practical, application‑driven course that teaches learners how to use Python to explore, clean, transform, and analyze data. Through hands‑on exercises with real datasets, participants learn to build analytical workflows using powerful libraries such as Pandas, NumPy, Matplotlib, and Seaborn. The course focuses on developing the skills needed to extract insights, solve business problems, and communicate findings effectively.

Target Audience

This course is ideal for:

• Aspiring data analysts, data scientists, and BI professionals

• Professionals in HR, finance, marketing, operations, or product roles who work with data

• Students or career switchers entering analytics or tech roles

• Anyone seeking to strengthen their Python‑based analytical capabilities

Course Outcomes

By the end of this course, learners will be able to:

• Use Python to import, clean, and manipulate datasets

• Apply Pandas and NumPy for data wrangling and transformation

• Perform exploratory data analysis (EDA) to uncover patterns and trends

• Build visualizations using Matplotlib and Seaborn

• Apply basic statistical techniques to support decision‑making

• Build end‑to‑end analytical workflows for real‑world business scenarios

• Interpret and present insights clearly and confidently