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Python With Data Science Course

What will I learn?

Itsenye mo bothaleng jwa Python go tlhaloganya botoka kgwebo ka Python le Data Science Course ya rona. Ithute go sekaseka tatelano ya dinako go itse mekgwa le dipaka, mme o bone lesedi go tswa mo dipalong tsa thekiso ka go lemoga mekgwa ya dikgaolo le dithoto tse di rekisegang thata. Ithute go dirisa data ka botswerere o dirisa Pandas, o phepafatse di-dataset, le go laola dipalo tse di tlhaelang. Oketsa bokgoni jwa gago jwa go sekaseka data, go e bontsha ka ditshwantsho, le go tlhaeletsano lesedi ka botswerere o dirisa Jupyter Notebooks. Tsholetsa bokgoni jwa gago jwa BI gompieno!

Apoia's Unique Advantages

Online and lifelong course
Certificate aligned with educational standards
PDF summaries for downloads
Virtual assistant always available
Select and arrange the chapters you wish to study
Customize your course workload
Instant feedback on practical activities
Study anytime, without requiring internet access

Develop skills

Enhance the development of the practical skills listed below

Ithute Tatelano ya Dinako: Sekaseka mekgwa mme o lemoge dipaka mo dateng.

Senola Lesedi la Thekiso: Lemoga mekgwa le dithoto tse di rekisegang thata.

Go Dirisa Data ka Python: Phepafatsa, latelela, le go laola di-dataset ka botswerere.

Bontsha Data ka Ditshwantsho: Dira di-histogram, di-bar chart, le di-line plot tse di nang le mosola.

Pego e e Nang le Mosola: Tlhaeletsana lesedi o dirisa 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’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.