Data Science in Python Course
What will I learn?
Ithute dintlha tsa botlhokwa tsa Data Science ka Data Science ka Python Course ya rona, e e diretsweng batho ba Business Intelligence. Ithute go tshwara data ka Python, sekaseka maitshwaro a bareki, mme o tokafatse bokgoni jwa gago jwa go bega. Nna le bokgoni mo go sekaseka dipalo, go tokafatsa maano a thekiso, le exploratory data analysis o dirisa didirisiwa jaaka Pandas, Matplotlib, le Seaborn. Tsholetsa tiro ya gago ka dintlha tse di mosola, tsa maemo a a kwa godimo tse di tsamaisang ditshwetso tse di ikaegileng ka data le katlego ya kgwebo.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Ithute go tshwara data: Laela, phepafatsa, le go laola data o dirisa Python le Pandas.
Sekaseka maitshwaro a bareki: Kgaoganya, supa mekgwa, mme o bale boleng jwa botshelo jotlhe.
Tlhalosa dintlha: Tlhama dikgakololo tse di ikaegileng ka data mme o tlhalose diphitlhelelo ka bokgabane.
Dira statistical analysis: Dira descriptive statistics le hypothesis testing.
Tokafatse maano a thekiso: Dirisa predictive modeling mme o supe key performance indicators.
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’ll 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.