Project-Based Data Science Course
What will I learn?
Ntlafatsa tsebo ea hau ea Bohlale ba Khoebo ka Khoase ea rona ea Bo-ramahlale ba Data e Thehiloeng Mererong. Ikenyetse ho hlahlobeng le ho hloekiseng data, ithute mekhoa ea ho sebetsana le litekanyetso tse sieo, 'me u utloisise mekhoa e rarahaneng ea data. Ithute ho toloka liphetho tsa tlhahlobo, u fumane lintlha tsa bohlokoa tse ka sebelisoang, 'me u li fetole liqeto tsa bohlokoa tsa khoebo. Ntlafatsa tsebo ea hau ea ponahatso ea data ka lisebelisoa le mekhoa e sebetsang. Etsa litlaleho le litlhahiso tse hlollang tse etselitsoeng bamameli bao e seng litsebi. Fumana boiphihlelo litabeng tsa lipalo-palo tse hlalosang le mekhoa ea ho hlophisa lihlopha, kaofela ka li-module tse khutšoane, tsa boleng bo holimo, tse shebaneng le boikoetliso.
Apoia's Unique Features
Develop skills
Enhance your practical skills as listed below
Tseba ho hloekisa data: Tseba le ho sebetsana le litekanyetso tse sieo ka nepo.
Hlahloba lintlha tsa bohlokoa tsa data: Fetolela liphumano hore e be maqheka a khoebo a ka sebelisoang.
Bona data ka nepo: Etsa lichate le lirafu tse matla.
Ngola litlaleho tse hlollang: Fana ka data ho bamameli bao e seng litsebi.
Sebelisa mekhoa ea ho hlophisa lihlopha: Kenya tšebetsong K-Means le hierarchical clustering.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can adjust the chapters and workload.
- Choose your starting chapter
- Add or remove chapters
- Alter the total course workload
Examples of chapters you can include
You'll be able to generate additional chapters similar to the examples below
This is a free course focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but provides practical and relevant knowledge for your career.