Python Course For Data Science
What will I learn?
Dzidzisa Python zve Data Science uye simudzira hunyanzvi hwako hwe Business Intelligence nechidzidzo chedu chipfupi, chemhando yepamusoro. Dzidza maitiro akakosha ekuchenesa data, kusanganisira kubata madhindindi nema outliers, wobva wanyura mukuongorora mashandiro ekutengesa ne regional uye product category insights. Iva nyanzvi mukurodha data, preprocessing, uye key metrics calculation. Wedzera kugona kwako kutaura insights zvinobudirira uchishandisa Jupyter Notebook, wozivisa mazano anogona kushanda ekuvandudza nzira dzekutengesa nekutungamira kwe inventory.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Dzidzisa kuchenesa data: Bvisa madhindindi, gadzirisa, uye bata outliers zvinobudirira.
Ongorora data rekutengesa: Ita regional, product, uye time series sales analysis.
Preprocess data: Shandura marudzi, bata missing values, uye rodha CSVs ne Pandas.
Verenga key metrics: Tsvaga total revenue, regional revenue, uye average units sold.
Taura insights: Rongedza zvawakawana uye upe uchishandisa Jupyter Notebook.
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.