Cohort 7
Cohort 7 ran 16 weeks of classes alongside 11 weeks of practical sessions. Students worked in teams named after African leaders, shipping projects on real-estate prediction, recommendation systems, food price forecasting, and more.
- Duration
- 16 weeks classes + 11 weeks practicals
- Format
- In-person + online
- Teams
- 5
Cohort 7 was structured around a parallel track: 16 weeks of weekly classes covering theory, with 11 weeks of practicals layered alongside for applied work. Students were grouped into five teams, each named after an African leader.
Capstone teams
| Team | Project |
|---|---|
| Johnson-Sirleaf | REALICE |
| Kaunda | Rent prediction in Nigeria |
| Machel | Easy Buy recommendation system |
| Sankara | iRecommend |
| Selassie | Nigerian food price forecasting |
Project proposals and team structures are available in the cohort 7 projects repository.
Classes & practicals
- 16 weeks of classes - YouTube playlist · GitHub
- 11 weeks of practicals - YouTube playlist · GitHub
Practical sessions extended the theory taught in class, walking through hands-on Data Science and Machine Learning workflows on real datasets.
Credits
Instructors
Tejumade Afonja · Akintayo Jabar · Ahmed Olanrewaju · Lawrence Francis · Esemeje Omole · Olumide Okubadejo · Stanley Dukor · Femi Ogunbode · Kenechi Dukor · George Igwegbe · Farouq Oyebiyi · Femi Azeez
Practical instructors
Ojeifo Ozeigbe · Akintunde Oladipo · Tejumade Afonja · Gideon Onyewuenyi · Sandra Orji · Sharon Ibejih · Chizurum Olorondu · Kawthar Babatunde · Femi Azeez · Farouq Oyebiyi · Fortune Adekogbe
Mentors
Adetola Adetunji · Oluwole Elvis · Sharon Ibejih · Akintunde Oladipo · Tejumade Afonja