Data Scientist course
SQL for features, stats without vibes, and a holdout you would defend. A sequenced path on DataLane — roadmap, coding, interview, then a cert if this loop uses one. Not a video rental.
6–8 weeks · 9 lessons · about 425 minutes of focused work · Data Scientist
Lesson 1 · 40 min
Open the flowchart
Click nodes. Check off skills on this device. This is the syllabus, not a poster.
Data Scientist roadmap →Lesson 2 · 90 min
SQL you can defend
Grain, windows, anti-joins. Every data role sits this pad. Filter the list to this role.
Coding problems →Lesson 3 · 60 min
Python pad
Means, losses, metrics — NumPy, Python, or PyTorch on the same problem.
Scientist Python →Lesson 4 · 50 min
ML metrics track
BCE, F1, softmax without a notebook.
ML metrics →Lesson 5 · 35 min
AI / ML questions
Leakage, eval, RAG as a pipeline.
AI stack →Lesson 6 · 40 min
Python DE exam
Quality, modeling, pandas vs Spark.
Python exam →Lesson 7 · 45 min
Interview track
The sequence for this role: pads, stacks, and the story you will tell.
Data Scientist interview →Lesson 8 · 40 min
Question bank
Filter to this role. Reveal after you say the first sentence out loud.
Role question bank →Lesson 9 · 25 min
Drill mode
One question at a time. Mark knew / partial / missed on this device.
Drill this role →