Python Course For Data Science
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.

from 4 to 360h flexible workload
certificate recognized by MEC
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.
Elevify advantages
Develop skills
- 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
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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