Data Science
NumPy Essentials
MyLoginn Learning Team · Free beginner course
Learn NumPy arrays, indexing, slicing, broadcasting, and the math and statistics tools used in data science.
Level
Essentials
Modules
6
Topics
68
Duration
3 weeks
Course roadmap
A clear path through the material
Build your understanding one focused lesson at a time, from core ideas to practical programming.
Enroll free to unlock the lessons.
- 01NumPy Foundations0/15 topics · 0%
- 1NumPy Intro
- 2NumPy Getting Started
- 3NumPy Creating Arrays
- 4NumPy Array Indexing
- 5NumPy Array Slicing
- 6NumPy Data Types
- 7NumPy Copy vs View
- 8NumPy Array Shape
- 9NumPy Array Reshape
- 10NumPy Array Iterating
- 11NumPy Array Join
- 12NumPy Array Split
- 02NumPy Random0/15 topics · 0%
- 16NumPy Random
- 17NumPy Data Distribution
- 18NumPy Random Permutation
- 19Seaborn Module
- 20Normal Distribution
- 21Binomial Distribution
- 22Poisson Distribution
- 23Uniform Distribution
- 24Logistic Distribution
- 25Multinomial Distribution
- 26Exponential Distribution
- 27Chi Square Distribution
- 03NumPy ufunc0/13 topics · 0%
- 31NumPy ufunc Intro
- 32NumPy Create Your Own ufunc
- 33NumPy Simple Arithmetic
- 34NumPy Rounding Decimals
- 35NumPy Logs
- 36NumPy Summations
- 37NumPy Products
- 38NumPy Differences
- 39NumPy Finding LCM
- 40NumPy Finding GCD
- 41NumPy Trigonometric Functions
- 42NumPy Hyperbolic Functions
- 04NumPy Array Operations0/11 topics · 0%
- 44NumPy Broadcasting
- 45NumPy Axis and Aggregation
- 46NumPy Mean, Median, and Std
- 47NumPy Boolean Masks
- 48NumPy where()
- 49NumPy Linear Algebra Basics
- 50NumPy Matrix Multiplication
- 51NumPy Stacking and Concatenating
- 52NumPy Missing Values
- 53NumPy Saving and Loading Arrays
- 54NumPy Performance Tips
- 05NumPy Projects and Practice0/8 topics · 0%
- 55NumPy Examples
- 56NumPy Quiz
- 57NumPy Exercises
- 58NumPy Code Challenges
- 59NumPy Image Array Project
- 60NumPy Statistics Project
- 61NumPy Study Plan
- 62NumPy Interview Prep
- 06NumPy References0/6 topics · 0%
- 63NumPy Reference
- 64NumPy Array Functions
- 65NumPy Math Functions
- 66NumPy Statistics Functions
- 67NumPy Random Reference
- 68NumPy dtype Reference