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NumPy Python course

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

What will I learn?

Gain expertise in practical data handling with this focused NumPy Python course. Cover array creation, indexing, masking, broadcasting, then advance to descriptive statistics, correlations, and group analysis. Practise importing and tidying CSVs, managing missing or faulty data, and conducting simple A/B comparisons via permutation tests. Develop swift, dependable, repeatable analyses that handle big datasets using smart NumPy methods.

Elevify advantages

Develop skills

  • NumPy data import: quickly turn big, untidy CSVs into neat numeric arrays.
  • Array cleanup using masks: identify, eliminate, or fill invalid and missing data.
  • Descriptive statistics in NumPy: calculate key metrics, percentiles, and strong summaries.
  • Group analysis: metrics by device, country, or version with efficient NumPy vectors.
  • A/B testing basics: correlations, effect measures, 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.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are 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 extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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