Data Science Beginner Course
What will I learn?
Vhura simba redata muindastiri yemimhanzi neData Science Course yedu ye Vanotanga, yakagadzirirwa nyanzvi dzemimhanzi. Tanga nekuunganidza data, dzidza kuwana maseti edata everuzhinji, uye uone masosi akavimbika. Govera kuchenesa data, bata data isipo, uye shandura mafomati. Wongorora kuratidzwa kwedata nezvishandiso zvakaita seMatplotlib, uchigadzira magirafu emitsetse nemachati emabhawa anokosha. Ongorora maitiro, nzwisisa pesvedzero dzetsika, uye uwane nzwisiso dzinogona kutorwa matanho. Simudzira basa rako remimhanzi nekuita sarudzo dzinofambiswa nedata nhasi!
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Wana maseti edata everuzhinji: Tsvaga uye shandisa data yakavhurika yekuongorora mimhanzi.
Ratidza data: Gadzira magirafu anokwezva kuratidza maitiro emimhanzi.
Chenesa uye gadzirira data: Iva nechokwadi chekururama nekubata data isipo neyakapetwa.
Ongorora maitiro: Ziva mapatani nekubatana mune data yemimhanzi.
Shandisa Python nePandas: Govera maturusi akakosha ekugadzirisa data yemimhanzi.
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.