Python With Data Science Course
What will I learn?
Vhurai simba rePython reBusiness Intelligence nePython yedu neData Science Course. Nyikurai mukudzama kwe time series analysis kuti mugone kunzwisisa mafambiro enguva uye mwaka, mogowana nzwisiso kubva mu data re kutengesa nekuona maitiro enzvimbo dzakasiyana uye zvigadzirwa zviri kutengesa zvakanaka. Dzidzai kubata data zvakanaka muchishandisa Pandas, kuchenesa ma datasets, nekugadzirisa kukanganisa kwema values. Simudzirai hunyanzvi hwenyu mu exploratory data analysis, kuonesa data, nekutaura zvamawana zvakanaka muchishandisa Jupyter Notebooks. Simudzirai hunyanzvi hwenyu hweBI nhasi!
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Gonai Time Series: Ongororai mafambiro enguva nekuziva mwaka mu data.
Fumurani Zvakavanzika zve Kutengesa: Zivai maitiro ezvinhu nezvigadzirwa zviri kutengesa zvakanaka.
Kubata Data nePython: Chenesai, isa, nekugadzirisa ma datasets zvakanaka.
Onesai Data: Gadzirai ma histograms, ma bar charts, nema line plots zvinobatsira.
Kupa Mashoko Akanaka: Taurai zvamawana muchishandisa Jupyter Notebooks.
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.