Tools / Data science and machine learning libraries
Data wrangling with pandas
Loading, cleaning, joining, reshaping and summarising tables in Python.
About 25 hours of study. It builds on Programming in Python.
Where to learn it
Kaggle
Pandas course
Short hands-on courses that run in the browser.
Section not checked yet
Other options
- Kaggle Learn (practise)
Pandas, then Data Cleaning - pandas exercises (practise)
Every folder, in order
Wrong chapter, dead link, or know something better? Tell us on GitHub.
Your route to Data wrangling with pandas
Pick where you’re starting from. Anything your background already covers is left out, and the rest is put in order.
2 stops to go, about 65 hours of study.
Open a stop to see the book, the video course and the practice for it. Tick its circle when you've finished.
- 40 h
Programming. Ready to start.
- Tool25 h
Data. After Programming in Python.
That's the whole route to Data wrangling with pandas.
Which roles ask for it
- Data analyst to get hired
- Data engineer to get hired
- Machine learning engineer to get hired
- Quantitative researcher / analyst to get hired
- Quant developer in the first year
- Risk analyst in the first year
- Financial analyst good to have
- Statistician / biostatistician good to have
- BI developer good to have
- Analytics engineer good to have
- Product analyst in the first year
- Business analyst good to have
- Data scientist to get hired
What it needs and what it leads to: Data wrangling with pandas on the map.