1. Data Science Math Skills
Duke University (Coursera)
Daniel Egger and Paul Bendich, Duke University
AIITE Certificate Program · Track 1 of 4
← All 4 tracks
Data & Statistics Foundations
Core statistical thinking and Python programming fundamentals underneath every data science technique. Complete every course below and submit a screenshot of each completion.
Course links open each provider’s own site in a new tab. AIITE does not control their content, pricing, or availability. Some providers charge for graded assignments, completion records, or certificates even when the course itself is free to audit.
5Courses in this track
BeginnerSkill level
Certificate earnedAIITE Certificate of Completion in Data & Statistics Foundations
Learning PathAIITE Certified Data Practitioner
AIITE Certified Data Practitioner is given only when all tracks in the Learning Path are completed and verified.
Providers in this track
Duke University (Coursera)Kaggle LearnUniversity of Michigan (Coursera)
There are 5 courses in this track
2. Understanding and Visualizing Data with Python
University of Michigan (Coursera)
Brenda Gunderson, University of Michigan
3. Python
Kaggle Learn
Python syntax and core programming
4. Pandas
Kaggle Learn
DataFrame indexing, grouping, and reshaping
5. Intro to Programming
Kaggle Learn
Programming fundamentals with Python
AIITE independently curates these learning resources and is not affiliated with, sponsored by, or endorsed by the listed providers unless expressly stated. Provider certificates and AIITE credentials are separate awards. AIITE issues certificates in this program after verifying the completion evidence you submit; this is not an independent AIITE examination of competency.