Computer Science Data Science Course
What will I learn?
Tek yu Bizniz Intelijens kerier tu di neks level widi wi Kompyuta Sayans Data Sayans Kuos. Yu wi lan how fi vizualiz data gud-gud, inkluudn how fi mek chart we mek sense an yuuz graf we gi insait. Yu wi get profishant wid data analisis tuulz dem like Excel, Python, an R. Yu wi lan fi rait ripuot an prezenteshan we kyan get di point akros tu piipl we nuh techy. Dive deep ina exploratori data analisis, fi fain pattern dem an deal wid wa nuh normal. Mek yu skilz ina sielz an revenyu analisis betta, an develup straatejik maakitn insait chuu kustomer segmenteshan an targetid promuoshan.
Develop skills
Enhance the development of the practical skills listed below
Master data vizualizeshan: Kriet chart an graf we kyan kerry impakful insait.
Excel ina data analisis: Yuutilize Excel, Python, an R fi komprehensiv analisis.
Kraf ripuot we kyan ketch yu: Integrate vizualz an rait fi difrahn aadience.
Kandoct exploratori analisis: Detect pattern dem, outlaya, an data strokcha.
Develup maakitn strateji dem: Segment kustomer dem an aatimaiz promuoshan.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change 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.