Python With DSA Course
What will I learn?
Become proficient in Python and Data Structures with our detailed course tailored for technology professionals. Delve into data processing techniques, including transformation, cleaning, and aggregation. Explore Python data structures such as dictionaries, sets, lists, and tuples. Improve performance with space and time complexity analysis, and learn effective coding practices. Handle large datasets with streaming, memory management, and parallel computing. Use powerful libraries like Pandas, Matplotlib, and NumPy for data analysis. Enhance your coding with documentation, code quality checks, and version control.
Apoia's Advantages
Develop skills
Enhance the development of the practical skills mentioned below
Master data cleaning: Efficiently transform raw data into actionable insights.
Optimise code performance: Improve speed and reduce memory consumption in Python.
Utilise Python libraries: Leverage Pandas, NumPy, and Matplotlib for data analysis tasks.
Implement algorithms: Effectively apply sorting, searching, and graph algorithms.
Ensure code quality: Write readable and maintainable code, along with version control practices.
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 provides practical and relevant knowledge for your professional journey.