Python Course Data Science
What will I learn?
Ithute go dirisa maatla a data ka Thuto ya rona ya Python mo go tsa Data Science, e e diretsweng ba tsa Business Intelligence. Ithute ka botlalo Exploratory Data Analysis go bona ditsela tse data e itshwaraganyang ka teng le diphetogo, itsenye mo go laoleng data ka Python, mme o oketse bokgoni jwa gago jwa go sekaseka data ya thekiso. Ithute go kwala khoutu ya Python e e dirang sentle, dirisa dilaeborari go sekaseka data, mme o tlhalose megopolo e e ka dirisiwang. Ka go itebaganya le dilo tse di mosola le tsa maemo a a kwa godimo, thuto e e go thusa go fetola data e e sa tlhaolwang go nna ditshwetso tsa botlhokwa tsa kgwebo.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Ithute EDA ka Botlalo: Senola ditsela tse data e itshwaraganyang ka teng le diphetogo ka go dirisa mekgwa ya go bontsha data ka ditshwantsho.
Phepafatsa Data: Laola boleng jo bo tlogetsweng mme o dirise mekgwa e e mosola ya go phepafatsa data.
Sekaseka Thekiso: Sekaseka maduo a kgaolo nngwe le nngwe mme o kgaoganye bareki ka botlalo.
Tokafatso ya Python: Kwala khoutu e e dirang sentle mme o dirise dilaeborari go sekaseka data.
Tlisa Megopolo: Tlhalosa data, tlhalosa dipoelo, mme o gakolole ka dikgato tse di tshwanetseng go tsewa.
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.