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NumPy Python course

NumPy Python course
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

Gain expertise in practical data workflows through this focused NumPy Python course. Explore array creation, indexing, masking, and broadcasting, progressing to descriptive statistics, correlations, and group analysis. Practise loading and cleaning CSV files, managing missing or invalid data, and conducting basic A/B comparisons via permutation tests. Develop efficient NumPy methods for fast, reliable, reproducible analyses that handle large datasets.

Elevify advantages

Develop skills

  • NumPy data loading: swiftly parse large, untidy CSVs into clean numeric arrays.
  • Array cleaning using masks: identify, remove, or impute invalid and missing values.
  • Descriptive statistics in NumPy: calculate KPIs, percentiles, and robust aggregations.
  • Group analytics: compute metrics by device, country, or version with vectorised NumPy.
  • A/B-style testing: perform correlations, effect sizes, and permutation tests using 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.
Workload: between 4 and 360 hours

What our students say

Your lessons are perfect. I purchased the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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