Lessons
Python for Data Science: all lessons
The language as a data practitioner uses it, not as a software engineer does.
3 modules · 4 lessons · 1 free to read now
About this track: outcomes, tools and priceModule 1Start Here
2 lessonsWhy Python, what to install, and how to read an error.
Why Python for Data
8 minPython won data work not because it is the best language but because of its ecosystem. Here is the honest version.
Free · read nowRead the lessonReading a Traceback to the End
12 minA Python error reads bottom-up, and the last line is almost always enough. This is the lesson that saves you the most time.
Included with the track Simulation inside
Module 2The Data Structures You Use Daily
1 lessonLists, dicts, tuples, sets — and when to reach for which.
Lists and Dicts
15 minTwo structures that cover about 90% of the work. The rest are variations.
Included with the track Simulation inside
Module 3pandas, Until You Trust It
1 lessonLoad, clean, group, join. The four things a working day is made of.
DataFrames and Cleaning
20 minReal data is always dirty. This is the check order to run before touching any analysis.
Included with the track Simulation inside