Data Science For Product Managers Course
What will I learn?
Notlolla matla a data ka Data Science bakeng sa Managers ba Lihlahisoa, e etselitsoeng litsebi tsa Bohlale ba Khoebo. Ithute ka botebo mekhoa ea ho bokella data, ho netefatsa boleng le botšepehi, 'me u hlahlobe mehloli e fapaneng ea data. Tseba ho etsa lintho tsa bohlokoa ka ho lekola hore na li ka khoneha le ho utloisisa litlhoko tsa basebelisi. Ntlafatsa tsebo ea hau ea tlhahlobo ea data ka lipalo-palo tse hlalosang le mekhoa ea ponahatso. Hlahisa temohisiso e ka sebelisoang le ho fana ka liphuputso ka katleho, ha u ntse u sebelisa lisebelisoa tsa bohlokoa tsa tlhahlobo ea data. Ikopanye le rona ho phahamisa boiphihlelo ba hau ba taolo ea lihlahisoa.
Apoia's Unique Features
Develop skills
Enhance your practical skills as listed below
Tseba ho bokella data: Netefatsa boleng ba data le botšepehi ho tsoa mehloling e fapaneng.
Etsa lintho tsa bohlokoa: Lekola hore na li ka khoneha le ho lekola tšusumetso ea tšebelisano ea basebelisi.
Hlahloba data: Sebelisa lipalo-palo tse hlalosang le ponahatso ho tseba mekhoa.
Hlahisa temohisiso: Ntlafatsa temohisiso e ka sebelisoang le ho hlophisa litlaleho tse tsamaisoang ke data.
Sebelisa lisebelisoa: Sebelisa software ea tlhahlobo ea data le ponahatso ka katleho.
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.