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NumPy Python course

NumPy Python course
flexible workload of 4 to 360h
valid certificate 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 stats, 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: turn big, untidy CSVs into neat numeric arrays.
  • Clean arrays using masks: identify, fix or drop missing and bad values.
  • Run descriptive stats in NumPy: calculate key metrics, percentiles and strong summaries.
  • Perform group analytics: get metrics by device, country or version with fast NumPy vectors.
  • Carry out A/B-style tests: measure correlations, effects and permutations in 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 opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
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Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
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André FelipePrompt Engineering Student

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