Advanced Python Course
What will I learn?
Simudzira hunyanzvi hwako hweBusiness Intelligence ne Advanced Python Course yedu, yakagadzirirwa nyanzvi dzinoshuvira kushandisa simba rePython mukutora zvisarudzo zvine data. Dzika mukati mekufembera (predictive modeling) nemiti yezvisarudzo (decision trees) nemasango asina kurongeka (random forests), nyatso gadzira migove yevatengi (customer segmentation) kuburikidza ne clustering ne RFM analysis, uwedzere kuonekwa kwedata rako (data visualization) neMatplotlib neSeaborn. Dzidza kuchenesa, kugadzirira, uye kuongorora data nemazvo, uchigadzira mishumo inonzwisisika ne mazano anokwanisika kuitwa. Joinha ikozvino kuti ushandure hunyanzvi hwako hwedata uye uwedzere budiriro yebhizinesi.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Nyatsoziva predictive modeling: Vaka miti yezvisarudzo (decision trees) woita masango asina kurongeka (random forests).
Ita customer segmentation: Shandisa clustering uye RFM analysis kuti uwane nzwisiso.
Ita exploratory data analysis: Wona data neMatplotlib neSeaborn.
Wedzera kugadzirira data (data preprocessing): Bata kukosha kuri kurasika (missing values) uye ururamise mhando dzedata (data types) nemazvo.
Gadzira mishumo inonzwisisika: Pfupikisa data uye ugadzire mazano anokwanisika kuitwa.
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.