Python for Data Analysis Course with an Expert Mentor

This Python for data analysis course is built for beginners who want to work with data. You learn Python from scratch, then use pandas and NumPy to clean, analyse and visualise real business datasets. Every project is reviewed by your mentor, so you finish with work you can show in analyst interviews.

38 lessons
22 hours of content
Beginner level
Weekly live sessions

Taught by

Arjun Mehta · Full-Stack & Data Mentor

What you'll learn

Write clean Python code with variables, loops and functions
Load, clean and reshape data with pandas
Calculate and compare metrics with NumPy and grouping
Create clear charts with Matplotlib and Seaborn
Answer business questions with exploratory data analysis
Present findings in a portfolio-ready notebook

Course curriculum

6 modules · 38 lessons · 22 hours

1Python basics

Variables and data types
Loops and conditions
Functions and modules

2Working with data

Jupyter notebooks
Reading CSV and Excel files
Data types and missing values

3pandas in depth

Filtering and sorting
Grouping and aggregating
Merging datasets

4NumPy & statistics

Arrays and vectorised maths
Descriptive statistics
Spotting outliers

5Data visualisation

Matplotlib basics
Seaborn charts
Choosing the right chart

6Analysis projects

Sales data case study
Writing up insights
Mentor project review

Who this course is for

Beginners aiming for data analyst roles
Excel users who want to automate analysis
Students in commerce, science or engineering

Tools you'll use

Python
Jupyter
pandas
NumPy
Matplotlib
Seaborn

Your mentor

Arjun Mehta

Full-Stack & Data Mentor

14+ yrs experience · Ex-Senior Engineer, product startups

Meet all mentors

Python for Data Analysis: common questions

Do I need to know programming before this data analysis course?

No. The first module teaches Python from the basics, with examples that use data from day one.

Will this course help me become a data analyst?

It teaches the core Python skills analysts use daily and gives you projects for your portfolio. Your mentor can also guide you on resumes and interview preparation.

More answers about payments, certificates and refunds on our FAQ page.