Comprehensive Course on Python's NumPy
If you aspire to become a data scientist or data analyst that uses Python, you cannot NOT encounter NumPy.
NumPy is at the forefront of amazing scientific breakthroughs because it is extremely efficient in carrying out calculations.
This video will be everything you need to understand and be comfortable with NumPy.
Chapters in this video:
00:05 - Introduction to NumPy
02:30 - Preliminaries in NumPy
3:25 - MODULE 1 - Basic Array Creations, Operations and Commands (Element-wise Operations, Reshaping)
11:02 - MODULE 2 - Random Number Generations and Seeding For Reproducibility
15:24 - Simulating Rolling Dice and Coin Flips and Other Events that are Binomial in Nature
21:10 - Simulating Normal (Gaussian) and Poisson Distribution Events
24:11 - Visualizing Distributions - Testing for Robustness
35:30 - Basic Statistical Functions in NumPy - mean, median, variance, standard deviation, covariance, correlation, and percentiles.
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