Statistics Online Course
What will I learn?
Bula maatla a data ka Khoso ya rona ya Inthanete ya Dipalopalo, e e diretsweng ba ditswerere tsa khemistri. Ithute botswerere jwa go supa data ka mokgwa o o bonalang jaaka di-histogram le di-scatter plot go senola ditsela tse di fitlhegileng. Nna le bokgoni mo mananeong a dipalopalo, go balelwa le Excel, R, le Python, go tlhofofatsa tshekatsheko ya gago. Ithute ka botlalo dipalopalo tse di tlhalosang, kgonagalo, le kabo ya data go tokafatsa dipatlisiso tsa gago. Ithute go tlhaloganya dipoelo, go tsaya ditshwetso tse di nang le bokao, le go di dirisa mo maemong a mmatota a lefatshe. Godisa bokgoni jwa gago jwa go sekaseka le go tsaya ditshwetso tse di ikaegileng ka data ka tshepho.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Nna le botswerere jwa go supa data ka mokgwa o o bonalang: Tlhama di-histogram tse di nang le tlhaloganyo, di-box plot, le di-scatter plot.
Excel mo mananeong a dipalopalo: Dirisa Excel, R, le Python go sekaseka data.
Tlhaloganya metheo ya dipalopalo: Tlhaloganya dipalopalo tse di tlhalosang le dikgopolo tsa kgonagalo.
Tlhaloganya dipoelo tsa dipalopalo: Dirisa diphitlhelelo mo maemong a mmatota a khemistri.
Tokafatsa tsela ya go tshwara data: Phepafatsa, rulaganya, le go boloka data ka bokgabane gore e sekasekwe.
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.