You want to break into data analysis, but every course seems too long, too expensive, or too complicated. This free, 2 hour crash course is your fast track to real, hands on data skills using Python and pandas, with no prior programming experience needed. You will go from opening a Jupyter Notebook to cleaning a messy dataset and building your first professional looking charts. You will learn to install Python, Jupyter Notebook, and pandas, load CSV, Excel, and messy datasets, inspect dataset size and column types, select, filter, and sort data, create new columns, handle missing data and duplicates, merge tables, build bar charts, line plots, and scatter plots, and complete a mini project analyzing sales data.

This Course Offers

• Python basics and NumPy fundamentals: Learn Python basics for data wrangling. Understand NumPy as the foundation of numerical computing. Load, inspect, and clean messy data.
• Pandas mastery for data analysis: Master Pandas Series and DataFrames, data transformation including filtering, sorting, and grouping, merging, joining, and reshaping datasets, aggregations, pivot tables, and summary statistics.
• Data visualization with Matplotlib and Seaborn: Build bar charts, line plots, and scatter plots using pandas' built in plotting and Matplotlib and Seaborn for professional visualizations.
• Real world mini project: Complete a mini project analyzing a real world dataset from start to finish, cleaning a sales dataset, analyzing performance by region, and visualizing trends.

Why We Love This Course

1. It is a free, 2 hour crash course that gives you a quick win in the first 15 minutes.
2. It includes a compact, real world mini project that ties everything together.
3. Bite sized lectures (3 to 7 minutes) respect your time.
4. A downloadable companion workbook with datasets and shortcuts is included.

Python and pandas are the most in demand skills for data analysts. The question is whether you want to start your data journey with a free, hands on crash course, or continue using spreadsheets while others graduate to more powerful tools.

• Absolute beginners curious about data analysis with Python (no coding background required).
• Professionals who work with spreadsheets and want to graduate to more powerful tools.
• Students who tried long Python courses but lost momentum.
• Anyone who wants to test the waters before committing to a full data analysis path.

• A computer (Windows, macOS, or Linux) with an internet connection.
• The ability to install free software (the course walks you through it, takes 5 minutes).
• Basic comfort using a computer (managing files, using a web browser).
• No prior coding or data analysis experience is needed.

Interested in exploring more lessons? Check out our full course library to continue building your skills and advancing your learning journey.