Data Analytics in Finance Course
What will I learn?
Bula maatla a data ka Data Analytics mo go tsa Madi Thuto ya rona, e e diretsweng batho ba tsa madi ba ba tlhagafaletseng go tokafatsa bokgoni jwa bone jwa go sekaseka. Ithute ka botlalo go lemoga mafelo a a dirang dipoelo, maano a go fokotsa ditshenyegelo, le go tsaya ditshwetso tsa maano ka data. Ithute go dirisa didirisiwa tsa botlhokwa jaaka R, Excel, le Python go bona lesedi ka tsa madi le go supa data ka mokgwa o o bonalang. Sekaseka ditiragalo, baakanya dipego tse di nang le lesedi, mme o dirise mekgwa e e jaaka regression le time series analysis. Godisa bokgoni jwa gago jwa tsa madi ka thuto e e mosola ya maemo a a kwa godimo.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Ithute R le Python go sekaseka le go supa data ya tsa madi.
Lemoga mafelo a a dirang dipoelo mme o tokafatse maano a go fokotsa ditshenyegelo.
Sekaseka ditiragalo tsa lotseno le dipoelo go bona lesedi la maano.
Tlhama dipego tsa tsa madi tse di kgatlhang ka diponatshegelo tse di phepafetseng.
Dirisa regression le time series analysis mo dateng ya tsa madi.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You’ll be able to generate more chapters like 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 offers practical and relevant knowledge for your professional journey.