Data Science Statistics Course
What will I learn?
Simudzira hunyanzvi hwako hweBusiness Intelligence neChidzidzo chedu che Data Science Statistics, chakagadzirirwa nyanzvi dzinotsvaga kunzwisisa zvakadzama statistical analysis nekutora zvisarudzo zvinoenderana nedata. Tsvaga zvakadzama hypothesis testing, kugovanisa vatengi muzvikamu, uye nzira dzekutsvagisa data. Dzidza kugadzira magirafu anobatsira uye nekududzira magadzirirwo edata akaoma. Iva nyanzvi mu descriptive statistics uye nekugadzira mazano anoshanda ekuita kuti bhizinesi ribudirire. Chidzidzo ichi chipfupi, chemhando yepamusoro chinokupa simba rekushandura data kuita mazano anobatsira.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Iva nyanzvi mu hypothesis testing: Gadzira nekududzira statistical tests uine chivimbo.
Ita kugovanisa vatengi muzvikamu: Shandisa clustering techniques kuti uwane nzwisiso inotarirwa.
Ita kutsvagisa data: Chenesa, gadzirira, uye ongorora magadzirirwo edata zvinobudirira.
Gadzira magirafu anobatsira: Shandisa maplots kuratidza maitiro edata nekubatana.
Gadzira mazano anoshanda: Gadzira mazano ekuita kuti bhizinesi ribudirire zvichibva padata.
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 will 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.