Analyze Data with Python Pandas

TechBeginnerHome

90 minutes

5 steps

·Beginner

After 90 min: Insights extracted from a dataset with visualizations and statistical analysis

What you need

LaptopPython 3Jupyter Notebookpip

The 90-Minute Plan

Install & Import Pandas0–15 min

Install pandas using pip. Import it in Jupyter and understand DataFrames.

Load & Explore Data15–35 min

Load a CSV file with pandas. Use head(), info(), describe() to understand your data.

Clean Your Data35–55 min

Remove null values, handle duplicates, and standardize data formats.

Analyze & Visualize55–75 min

Calculate statistics, group data, and create charts using matplotlib or seaborn.

Ship & next steps75–90 min

Write conclusions from your analysis. Share your notebook. Next: explore machine learning.

Pro Tip

Start with small datasets. Understand your data before jumping to analysis. Document assumptions.

90 min·5 steps

TechIntermediate

After 90 min: A working predictive model that forecasts outcomes based on historical data

8,234

see the plan

90 min·5 steps

TechAdvanced

After 90 min: A production ML system that automatically trains, evaluates, and deploys models

9,543

see the plan

90 min·5 steps

TechBeginner

After 90 min: A working Python program that solves a real problem

8,743

see the plan

90 min·5 steps

TechBeginner

After 90 min: A live webpage about your interests visible in a browser

11,205

see the plan