Data Analytics
Course workspace
Everything for the June B3, July B2 and August B3 batches — session scripts, the student function reference, the mock interview desk, and the plan for each batch.
Session scripts
Every session written to be spoken — statistics, NumPy and Pandas, with the words to say, the commands to type and what appears on screen.
For the trainer
ReviseFunction reference
260 functions across Python, NumPy, Pandas and SQL, grouped by the class each was taught in. Every example has its real output.
For students
ReviseStatistics reference
All 55 concepts from the statistics module. Each one says why it exists, what it is in plain words, and the code — every number a real executed output.
For students
AssessMock interview desk
385 questions and 54 laptop tasks with model answers. Generates a balanced set per student, scoped to what has actually been taught.
For the trainer
PrepareWhat to watch, in order
Each statistics session mapped to the videos that prepare you for it.
For the trainer
August B3How much Python is needed
The newest batch, 13 sessions in. What was covered, what a data analyst will never use, and the six sessions that close the gap before NumPy.
For the trainer
PlanThe full course plan
Both batches, notes on delivered sessions, and the function lookup.
For the trainer