Data Science And Analytics Course
What will I learn?
Vhura simba redata ne Chirongwa chedu cheData Science neAnalytics, chakagadzirirwa nyanzvi dzeBusiness Intelligence. Tsvaga zvakadzama mumazano anogoneka, ongororo yekuita purofiti, uye kuratidzwa kwedata uchishandisa Python. Iva nyanzvi mukuongorora statistical, kugovanisa vatengi, uye nzira dzekutsvagisa data. Simudzira hunyanzvi hwako hwekutaura kuti ugozivisa zvakanaka mazano anofambiswa nedata. Chirongwa ichi chipfupi, chemhando yepamusoro chinokushongedza nezvishandiso zvekushandura data kuita sarudzo dzebhizinesi dzine hungwaru, zvese nenguva yako wega.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Bvisa mazano anogoneka: Iva nyanzvi mukududzira data kuti uite sarudzo dzine hungwaru.
Ongorora kuita purofiti: Ongorora metrics kuti uwedzere mashandiro ebhizinesi.
Ratidza data zvinobudirira: Gadzira zvinoonekwa zvine simba uchishandisa Python.
Ita ongororo yezviverengero: Shandisa regression uye kuyedzwa kwehypothesis.
Goveranisa vatengi: Ziva uye uongorore mapoka evatengi akasiyana.
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.