Python With DSA Course
Become a shikapwasha (expert) in Python and Data Structures with our strong course বানানো (designed) for technology professionals. Go ichingilila (deep dive) into data processing techniques, including transformation, cleaning, and aggregation. Check out Python data structures like dictionaries, sets, lists, and tuples. Improve performance with space and time complexity analysis, and learn proper coding practices. Manage big datasets with streaming, memory management, and parallel computing. Use strong libraries like Pandas, Matplotlib, and NumPy for data analysis. Improve your coding with documentation, code quality, and version control.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Become a shikapwasha (expert) in Python and Data Structures with our strong course বানানো (designed) for technology professionals. Go ichingilila (deep dive) into data processing techniques, including transformation, cleaning, and aggregation. Check out Python data structures like dictionaries, sets, lists, and tuples. Improve performance with space and time complexity analysis, and learn proper coding practices. Manage big datasets with streaming, memory management, and parallel computing. Use strong libraries like Pandas, Matplotlib, and NumPy for data analysis. Improve your coding with documentation, code quality, and version control.
Elevify advantages
Develop skills
- Become kapenta (expert) in data cleaning: Change raw data into actionable insights fast-fast (efficiently).
- Improve code performance: Make Python code run faster and use less memory.
- Use Python libraries: Make good use of Pandas, NumPy, and Matplotlib for data analysis.
- Put algorithms to work: Use sorting, searching, and graph algorithms properly.
- Make sure code is top-notch: Write code that is easy to read, easy to maintain, and use version control.
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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