NumPy Python course
This course equips you with NumPy skills for real-world data tasks in Python. You will clean CSV data, create robust arrays, compute fast statistics, correlations, A/B tests, and group analytics. These abilities enable you to deliver dependable, data-driven features and insights in your technical projects effectively.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain expertise in practical data processing using NumPy in Python. Cover array creation, indexing, masking, broadcasting, descriptive statistics, correlations, and group analysis. Learn to load and clean CSV files, manage missing or invalid data, and perform basic A/B comparisons with permutation tests. Develop efficient NumPy methods for scalable, reliable data analysis on large datasets.
Elevify advantages
Develop skills
- NumPy data loading: efficiently 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 metrics by device, country, or version 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 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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