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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 processing with this focused NumPy course. Cover array creation, indexing, masking, and broadcasting, progressing to descriptive statistics, correlations, and grouped analysis. Handle CSV loading and cleaning, manage missing or invalid data, and perform basic A/B comparisons via permutation tests. Develop efficient NumPy methods for scalable, reliable 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 metrics by device, country, or version using vectorised NumPy.
  • A/B-style testing: analyse 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.
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 a range of 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 extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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