Predictive Analytics Course
What will I learn?
Notlolla matla a data ka Thupelo ea rona ea Boits'oaro ba Boitsebiso bo Bonahalang, e etselitsoeng litsebi tsa Bohlale ba Khoebo tse batlang ho ntlafatsa litsebo tsa bona. Kena ka botebo lipatlisisong le ponong ea data, tseba ho hloekisa le ho lokisa data, 'me u rarolle tlhahlobo ea letoto la nako. Ithute ho hlalosa mekhoa ea boits'oaro le ho sebelisa mekhoa e tsoetseng pele ea ho etsa mohlala joalo ka regression ea linear le ho ithuta ka mochini. Phahamisa litsebo tsa hau tsa tlaleho le puisano ka ho pheta lipale tsa data tse sebetsang. Ikopanye hona joale ho fetola temohisiso hore e be liqeto tsa bohlokoa tsa khoebo.
Apoia's Unique Features
Develop skills
Enhance your practical skills as listed below
Tseba pono ea data: Etsa temohisiso e hlakileng e tsoang ho li-dataset tse rarahaneng.
Hloekisa le ho lokisa data: Fetola data e tala hore e be bohlale bo ka sebelisoang.
Sekaseka letoto la nako: Senola mekhoa le lipaterone bakeng sa ho nepahala ha boits'oaro.
Fana ka temohisiso: Etsa lipale tsa data tse qobellang bakeng sa tšusumetso ea khoebo.
Lekola mekhoa ea boits'oaro: Netefatsa ho nepahala le ho tšepahala ha likhakanyo.
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.