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NumPy Python course

NumPy Python course
from 4 to 360h flexible workload
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, descriptive statistics, correlations, and group analysis. Learn to load and clean CSV files, manage missing or invalid data, and perform basic A/B comparisons using permutation tests. Develop efficient NumPy methods for scalable, reliable data analysis 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 fill invalid and missing values.
  • Descriptive stats in NumPy: Calculate KPIs, percentiles, and robust summaries.
  • Group analytics: Compute metrics by device, country, or version using vectorized operations.
  • A/B-style testing: Perform correlations, effect sizes, and permutation tests with 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 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.
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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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