Python Data Structures And Algorithms Course
What will I learn?
Gona mu Python data structures ne algorithms nechidzidzo chedu chakapfupika, chemhando yepamusoro chakagadzirirwa nyanzvi dzetekinoroji. Nyura mumaitiro akanakisa ekuronga kodhi, kugona, uye kunyora zvinyorwa. Ongorora kuongorora kwenhamba, kusanganisira descriptive ne inferential statistics, uye kuratidzwa kwedata. Wana hunyanzvi muPython data structures senge lists, dictionaries, nema graph. Simudzira hunyanzvi hwako mukugadzirisa zvikanganiso, kugona kwekuita, uye kuyedza kweyuniti. Dzidza maitiro ekugadzirisa data uye kurwisa mahombe data sets ne parallel processing uye memory management.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Gona Python data structures: Lists, tuples, dictionaries, nema sets.
Simudzira mashandiro ekodhi: Dzidza nzira dzekugadzirisa zvikanganiso nekubata zvikanganiso.
Ongorora data statistically: Descriptive ne inferential statistics skills.
Gadzira algorithms anoshanda: Gona nzira dzekutsvaga nekusarudza.
Gadza mahombe data sets: Kunyatso tora nekuchengetedza ndangariro.
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.