Python With DSA Course
Become a dab hand at Python and Data Structures with our comprehensive course aimed at tech professionals. Get stuck into data processing techniques, including transformation, cleaning, and aggregation. Explore Python data structures like dictionaries, sets, lists, and tuples. Sharpen performance with space and time complexity analysis, and pick up efficient coding practices. Grapple with big datasets using streaming, memory management, and parallel computing. Make good use of powerful libraries like Pandas, Matplotlib, and NumPy for data analysis. Bring your coding up a notch with documentation, code quality, and version control.

from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Become a dab hand at Python and Data Structures with our comprehensive course aimed at tech professionals. Get stuck into data processing techniques, including transformation, cleaning, and aggregation. Explore Python data structures like dictionaries, sets, lists, and tuples. Sharpen performance with space and time complexity analysis, and pick up efficient coding practices. Grapple with big datasets using streaming, memory management, and parallel computing. Make good use of powerful libraries like Pandas, Matplotlib, and NumPy for data analysis. Bring your coding up a notch with documentation, code quality, and version control.
Elevify advantages
Develop skills
- Master data cleaning: Turn rough data into proper actionable insights efficiently.
- Optimize code performance: Speed things up and cut down on memory usage in Python.
- Utilize Python libraries: Get the most out of Pandas, NumPy, and Matplotlib for data analysis.
- Implement algorithms: Put sorting, searching, and graph algorithms to good use.
- Ensure code quality: Write code that's easy to read, maintain, and keep track of with version control.
Suggested summary
Before starting, you can change the chapters and the 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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