Intro to Data Science Course
What will I learn?
Vhura simba redata neNhanganyaya yedu kuData Science Chirongwa, yakagadzirirwa nyanzvi dzetekinoroji dzinoda kuwedzera hunyanzvi hwadzo hwekuongorora. Tanga nekuziva maitiro uye mapatani, kugona kurodha data nekutsvagisa neExcel, Google Sheets, R, uye Python. Dzidza maitiro akakosha ekuongorora data, kusanganisira kusefa, kuronga, uye matafura epivot. Ongorora kutengesa nemhindu, gadzira mazano ehungwaru, uye ugadzire mishumo inokurudzira. Simudzira basa rako nekuwana ruzivo runoshanda, rwemhando yepamusoro mune yakasununguka, asynchronous format.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Ratidza maitiro edata: Dzidza hunyanzvi hwekuona mapatani uye ruzivo.
Ongorora nePython: Shandisa Python kuongorora data kunobudirira.
Chenesa nekugadzirisa data: Dzidza hunyanzvi hunokosha hwekuchenesa nekugadzirisa data.
Gadzira nzira dzekutengesa: Gadzira nzira dzekutengesa nemhindu dzine simba.
Ipa zvawakawana zvedata: Gadzira mishumo yakajeka, ipfupi, uye inonyengetedza.
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.