Data Wrangling & EDA with pandas
Master the single most-used skill in applied AI: turning messy real-world data into model-ready datasets. Treated as the keystone of our 31-day flagship because every later day depends on it — learners clean, reshape, join, aggregate and profile a realistic seeded dataset end to end.
What this course covers.
5 modules, 35 named skill atoms. Expand any module to see them.
1DataFrames Deeply7 skill atoms
2Cleaning Real Mess7 skill atoms
3Reshape & Combine7 skill atoms
4Exploratory Analysis7 skill atoms
5Profiling & Handoff7 skill atoms
AI-104 in the role journeys.
This course appears in 4 of our 45 role journeys. Here is what a learner takes immediately before and after it in each.
Roles this course serves
This course is authored to band B2.
Every course we run is written to one rung of the CASI ladder, so a plan can be assembled to take a team from where they are to where they need to be.
What do B1–B6 mean?The CASI Capability Ladder — click to expand
Every course targets a band on the CASI Capability Ladder — our six-band proficiency scale, anchored to open standards (O*NET, ESCO, NICE, NIST AI RMF, Bloom's). A band tells you how deep a course goes, and what evidence proves it.
A note on B6. Courses in this catalog target B1–B5. B6 is not taught — it is recognised, through a portfolio and a panel, once someone is setting direction for others. Every journey here is built to land a learner at B5.
Other AI courses at this level.
Python for AI Engineering
Mathematics & Statistics for Machine Learning
SQL & Data Foundations for AI Teams
Prompt Engineering Essentials
Generative AI Foundations
Visualization & Data Storytelling
Run AI-104 for your team.
This course runs at several lengths depending on how deep you need to go and how much of it your people already have. Tell us who is being trained and we will scope it.