Analyse real datasets with Python and pandas. Write code that cleans, explores and plots data from your first lesson.
Outcomes
Curriculum
An indicative outline of the modules and what each covers. Work through them in order, at your own pace.
Portfolio
A certificate proves you finished. The work you build along the way is what gets you hired.
A full analysis of a realistic dataset in a notebook: cleaned, explored, plotted and written up.
A script that takes a messy export and returns a clean dataset, ready to run again next month.
Fit
When not to buy this course
If you have never written code, start with Python Programming first. This course uses Python from the first lesson, and it lands far better once loops, lists and functions feel familiar.
Good to know
Yes, the basics: variables, loops, lists and functions. If those are new to you, take Python Programming first and come back. We open with a short refresher, not a full introduction.
No. Python and its data libraries, including pandas, are free and open source. We show you a simple free setup in the first lesson.
Both, honestly. Excel for quick work and sharing with colleagues; Python when data gets large, messy or repetitive. Many analysts use Excel daily and reach for Python when a job outgrows it.
It is a strong piece of the puzzle. Most data analyst roles also look for SQL and a visualisation tool such as Power BI or Tableau. The portfolio you build across those skills is what shows employers you can do the work.
Every course has a 7-day money-back guarantee. If it does not fit, we refund you.
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