NumPy Python course
This course equips you with NumPy skills for real-world data tasks in Python. Master cleaning CSVs, creating robust arrays, computing fast statistics, correlations, A/B tests, and group analytics to deliver reliable data-driven insights and features in your projects.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain expertise in practical data processing with NumPy in Python. Cover array creation, indexing, masking, broadcasting, descriptive statistics, correlations, and group analysis. Handle CSV loading, data cleaning, missing values, and A/B comparisons via permutation tests. Develop scalable, efficient NumPy methods for large datasets.
Elevify advantages
Develop skills
- NumPy data loading: quickly parse large messy CSVs into clean numeric arrays.
- Array cleaning using masks: identify, remove or fill invalid and missing values.
- Descriptive statistics in NumPy: calculate KPIs, percentiles and robust summaries.
- Group analytics: compute metrics by device, country or version with vectorised NumPy.
- A/B-style testing: perform correlations, effect sizes and permutation tests 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 workload.What our students say
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