Free Udemy Course __ Numpy For Data Science - Real Time Coding Exercises

Practice all Numpy topics used in Data Science

4.5 (40,461 students students enrolled) English
data-science Machine Learning
Numpy For Data Science - Real Time Coding Exercises

What You'll Learn

  • Understand the fundamentals of the Python Numpy library
  • Numpy Arrays - 1D, 2D, 3D, Zeros, Ones, Full Arrays etc
  • Numpy Functions - Random, Linspace, Empty, Eye, Identity, Transpose, Diagonal Function etc
  • Indexing in Numpy Arrays
  • You can download each lecture video and source codes files

Requirements

  • Basic Python Programming knowledge, that you already have
  • You can use any one of these - Jupyter Notebook or PyCharm or Google Colab etc.

Who This Course is For

  • Data Science Beginners who are interested in Python

Your Instructor

Data Science Lovers

Senior Data Analyst

4.3 Instructor Rating

1,688 Reviews

92,053 Students

4 Courses

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