NumPy Python course
This course equips you with NumPy skills for everyday data tasks in Python. Learn to clean messy CSVs, create solid arrays, perform quick stats and correlations, conduct A/B tests, and analyse groups by device, country or version. Build dependable data pipelines to deliver solid insights and features in your projects, ready for large-scale use.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain expertise in practical data handling with NumPy in Python. Cover array creation, indexing, masking, broadcasting, plus descriptive stats, correlations, and group analysis. Handle CSV loading, data cleaning, missing values, and simple A/B tests via permutation methods. Develop efficient NumPy skills for scalable, reliable data analysis on big datasets.
Elevify advantages
Develop skills
- Load NumPy data swiftly: turn big, untidy CSVs into neat numeric arrays.
- Clean arrays using masks: identify, fix or drop missing and bad values.
- Run descriptive stats in NumPy: calculate key metrics, percentiles and strong summaries.
- Perform group analytics: get metrics by device, country or version with fast NumPy vectors.
- Carry out A/B-style tests: measure correlations, effects and permutations in NumPy.
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 workloadWhat our students say
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