Data Analytics Python Course
What will I learn?
Vhurai simba redata ne Data Analytics Python Chirongwa chedu, chakagadzirirwa nyanzvi dzeBusiness Intelligence. Nyururai muPython yekushandisa data, ityai Exploratory Data Analysis, uye gadzirai zviratidzo zvine simba neMatplotlib neSeaborn. Dzidzai kuongorora zvimedu, kufanotaura nguva, uye matekiniki epamberi akaita semuchina wekudzidza wekufanotaura kwekutengesa. Wanai hunyanzvi hunoshanda hwekugadzira madhibhodhi anonzwisisika nekunyora mishumo mipfupi, yakanaka, uye yakatarisana nekudzidzira.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Iva Shasha paEDA: Fukunura nzwisiso nekutarisisa data uye kuziva maitiro.
Goverai Vateereri: Ongororai demografi uye maitiro evatengi kuti muwane nzwisiso dzinangwa.
Taridzai Data: Gadzirai machati nemadhibhodhi ane simba neMatplotlib neSeaborn.
Ungwaru hwePython: Shandisai data muchishandisa Pandas nemaraibhurari akakosha ePython.
Fanotaurai Maitiro: Itai ongororo yenguva yekufanotaura kwebhizinesi kwakaringana.
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.