Big Data Analysis Course
What will I learn?
Bula maatla a data ka Thuto ya rona ya Go Sekaseka Dintlha Tse Dikgolo (Big Data), e e diretsweng batho ba ba dirang ka botlhale jwa kgwebo (Business Intelligence) ba ba batlang go gaisa. Ithute ka ditsela tsa go kokoanya data, itse sentle go baakanya le go phepafatsa data, mme o sekaseke didirisiwa tse di kwa pele jaaka Hadoop le Apache Spark. Nna le boitseanape mo go supa data ka matlho (data visualization) ka Tableau le Power BI, mme o ithute go sekaseka ditsela tse thekiso e tsamayang ka teng le dipaka tse di farologaneng. Kwala dipego tse di feletseng le dikgakololo tsa maano go tsamaisa kgwebo sentle. Tsholetsa bokgoni jwa gago ka thuto ya rona e khutshwane e bile e le ya maemo a a kwa godimo.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Itse sentle go supa data ka matlho: Dira ditshwantsho tse di kgatlhang ka Tableau le Power BI.
Sekaseka ditsela tse thekiso e tsamayang ka teng: Senola dintlha tse di thusang go tswa mo dintlheng tsa gore se se rekisiwang se tsamaya jang le gore kgaolo e e tsamayang jang.
Phepafatsa le go baakanya data: Baakanya mefuta ya data, tshwara dintlha tse di tlogetsweng, mme o tlose tse di ipoeletsang.
Lemoga ditsela tse dilo di diragalang ka teng: Lemoga ditsela tse di tlwaelegileng le tse di sa tlwaelegang o dirisa mekgwa ya data e e kwa pele.
Kwala dipego tsa maano: Soboka dintlha tse di thusang mme o neele dikgakololo tse di ka diragadiwang.
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.