NumPy Python course
This course equips you with NumPy skills for real-world data tasks in Python. Learn to clean CSVs, create robust arrays, perform quick statistics, correlations, A/B tests, and group analytics. Build reliable, data-driven solutions for your tech projects that handle large datasets efficiently and reproducibly.

from 4 to 360h flexible workload
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, descriptive statistics, correlations, group analysis, CSV loading and cleaning, missing value treatment, and A/B testing 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 vectorized operations.
- A/B-style testing: Run correlations, effect sizes and permutation tests using NumPy.
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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