Data Science Engineering Course
What will I learn?
Oketsa tiro ya gago ya Botlhale jwa Kgwebo (Business Intelligence) ka Khoso ya rona ya Boenjineri jwa Data Science. Ithute ka botlalo go kwala ditokumente, go rulaganya tiriso, le go sekaseka tsamaiso. Tsenelela mo dithekenoloji tsa segompieno jaaka Apache Kafka, Apache Spark, le AWS Glue go dira ditiro tsa data ka botswerere. Ithute go tlhama dipopego tsa data tse di ka oketsegang, go tokafatsa ditsela tsa data, le go netefatsa gore tsamaiso e a ikanyega ka go e leka le go e tlhomamisa ka kelotlhoko. Bona bokgoni jo bo ka dirisiwang go lemoga mathata le go tokafatsa tiriso, tsotlhe di le mo popego e khutshwane e e nang le boleng jo bo kwa godimo.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Ithute thekenoloji ya ditsela tsa data: Ithute Apache Kafka, Spark, le AWS Glue.
Tlhabolola dipopego tse di ka oketsegang: Tlhamela tsamaiso tiriso le kgolo.
Tokafatsa ditsela tsa data: Lemoga le go rarabolola mathata ka bonako.
Diragatsa tsamaiso ya dikotsi: Rulaganya le go fokotsa dikotsi mo diporojekeng tsa data.
Netefatsa boikanyego jwa data: Tlhomamisa le go leka go bona tsamaiso ya data e e ikanyegang.
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.