Python With DSA Course
Master Python and Data Structures with our in-depth course designed for tech professionals here in Namibia. Dig deep into data processing techniques, including how to transform, clean, and put data together. Explore Python data structures like dictionaries, sets, lists, and tuples. Get your code running faster by understanding space and time complexity, and learn how to code efficiently. Handle big datasets using streaming, memory management, and parallel computing. Use powerful tools like Pandas, Matplotlib, and NumPy for data analysis. Make your code top-notch with good documentation, quality code, and proper version control.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Master Python and Data Structures with our in-depth course designed for tech professionals here in Namibia. Dig deep into data processing techniques, including how to transform, clean, and put data together. Explore Python data structures like dictionaries, sets, lists, and tuples. Get your code running faster by understanding space and time complexity, and learn how to code efficiently. Handle big datasets using streaming, memory management, and parallel computing. Use powerful tools like Pandas, Matplotlib, and NumPy for data analysis. Make your code top-notch with good documentation, quality code, and proper version control.
Elevify advantages
Develop skills
- Master data cleaning: Change raw data into something you can actually use, quickly and easily.
- Optimize code performance: Make your Python code run faster and use less memory.
- Utilize Python libraries: Get the most out of Pandas, NumPy, and Matplotlib for analysing data.
- Implement algorithms: Use sorting, searching, and graph algorithms to solve problems effectively.
- Ensure code quality: Write code that's easy to read, easy to maintain, and properly version controlled.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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