NumPy Python course
This course equips you with NumPy skills for real-world Python data tasks. Learn to clean and load CSVs into robust arrays, compute fast descriptive statistics, correlations, group metrics, and A/B tests with permutation methods. Build reliable, scalable analyses to deliver data-driven insights and features in your projects effectively.

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, group analysis, CSV loading and cleaning, handling missing values, and A/B testing via permutation tests. Develop efficient techniques for scalable, reproducible data analyses on large datasets.
Elevify advantages
Develop skills
- NumPy data loading: Quickly parse large, messy CSVs into clean numeric arrays.
- Array cleaning with masks: Identify, remove, or impute invalid and missing values.
- Descriptive stats in NumPy: Calculate KPIs, percentiles, and robust aggregations.
- Group analytics: Compute per-device, country, or version metrics using vectorized NumPy.
- A/B-style testing: Perform correlations, effect sizes, and permutation tests with 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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