Advanced Data Science Course
What will I learn?
Tsholetsa bokgoni jwa gago jwa Business Intelligence ka Kosi ya rona ya Maemo a a Kwa Godimo ya Data Science, e e diretsweng batho ba ba dirang go bona botlhale jo bo tsamaisiwang ke data. Ithute ka botlalo tshekatsheko ya thekiso le inventory, tokafatsa ponelopele ka mefuta ya ARIMA, Prophet, le LSTM, mme o tokafatse mekgwa ya go baakanya data pele. Oketsa bokgoni jwa gago jwa go tlhalosa botlhale ka go dira dipego le ditshwantsho tse di bonalang sentle. Nna le maitemogelo a go dirisa mefuta le go dira diphetogo mo dilong tse di botlhokwa, go go thusa go dira ditshwetso tse di nang le boikarabelo le tse di maleba mo mokgatlhong wa gago.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Tlhabolola botlhale jo bo ka dirisiwang: Dira dikgakololo tse di tsamaisiwang ke data go godisa kgwebo.
Ithute ka botlalo ponelopele ya time series: Dirisa ARIMA, Prophet, le LSTM go dira ditshwetso tse di nepahetseng.
Tokafatsa go baakanya data pele: Samagana le data e e tlogetsweng le dilo tse di sa tlwaelegang go dira di-dataset tse di phepa.
Oketsa go tlhotlhomisa data: Lemoga diphoso le go tlhaloganya popego e e rarahaneng ya data.
Bua le batho ka tsela e e utlwalang: Dira ditshwantsho tse di bonalang sentle le dipego tse di sobokang dintlha tsa botlhokwa go itsise batho botlhe ba ba amegang.
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.