NumPy Descriptive Statistics - Beginner Python NumPy Exercises #8

This is the beginner Python NumPy exercises #8 and in this video, we walk through a few exercises on NumPy descriptive statistics. We’ll also import a real dataset and leverage a few of the math operators we learned to perform summary statistics on the dataset. And lastly, we’ll use matplotlib to display the data visually.

Statistical operations we’ll cover are:

- Mean
- Median
- Percentiles
- Min
- Max
- Standard deviation

Let me know if you have any questions and please offer feedback on how I can improve to help you better.

If you enjoyed this video, please throw in a like and subscribe to my channel. I’ll be posting a lot more videos on data science concepts that cover all things python and SQL.

------------------------------------------
------------------------------------------

Follow along interactively with the python notebooks in this video!

------------------------------------------

[avinashramesh]

These are some of the best YouTube videos. Both the Numpy and Pandas series are outstanding. Next month, I intend to subscribe to stratascratch premium. Hopefully, it will assist me in landing a dream job at any FAANG or top-tier firm.

[rakheegupta]

Why there are so less views!!!
Amazing video for explaining a wonderful book: "Data Science HandBook"
Please make more videos

[lokeshvarshney]

Hi Nate, Excellent videos! Thank You so much. I saw you were calculating the mean by two ways & I am confused with one of the thing, np.mean(x) or x.mean() "x is a 1 dimensional array" both give me the same output but when it comes to median, np.median(x) works but for x.median(), it throws an error saying, "'numpy.ndarray' object has no attribute 'median'". Could you please make it clear?