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 fast, trustworthy analyses to support data-backed decisions in your projects, perfect for scaling to large datasets.

from 4 to 360h flexible workload
certificate valid 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 statistics, 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 from large, untidy CSVs into neat numeric arrays.
- Clean arrays using masks to detect, remove or fill invalid and missing data.
- Calculate descriptive statistics in NumPy, including KPIs, percentiles and strong summaries.
- Perform group analytics with vectorised NumPy for metrics by device, country or version.
- Run A/B-style tests featuring correlations, effect sizes and permutation tests in 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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I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.

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The platform is fast and easy to use. The variety of content and the extra videos really help with learning.

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