DA
Data Analysis Practice
Analyse data hands-on in Jupyter notebooks with Python or R: reproducible notebooks, typed loading, profiling, cleaning, aggregation and reporting.
JUJupyter Notebook
Module 1
3Notebooks & Data Loading
Make a notebook that anyone can rerun, then load and profile a dataset with explicit types so nobody charts broken data.
Reproducible Analysis Notebook
Loading and Inspecting a Dataset
Data Health Check
Frequently asked questions
4>What will I practice in this path?
1 module: Notebooks & Data Loading.
>How many challenges are there, and how hard are they?
3 challenges, all easy.
>What does this path run on?
Challenges run on Jupyter Notebook.
>Do I need to install anything?
No. Every challenge runs in a browser-based IDE with everything already set up, and your code is graded automatically against a test suite.