Learn the basics of data science and how to work with important libraries such as NumPy, pandas, Beautiful Soup, etc.

Become a Data Scientist

This module will get us familiar with the state of data science and its fundamental concepts. We'll be going through the applications of data science and a few libraries which are essential to solve any problem in this field, such as Beautiful Soup, Scrapy, NumPy, pandas, spaCy, etc.
We'll also learn about data manipulation with NumPy as well as probability and statistics.
By the end of this module, we'll have basic and essential knowledge of data science and its libraries.

Getting Started with Data Science


## Skewness

Skewness refers to the distortion or asymmetry in a Bell Curve or Normal Distribution. It tells us how much a distribution varies from the Normal Distribution. A Normal Distribution has a Skewness of zero. A distribution can be right (positively) or left (negatively) skewed.




# Skewness

Skewness refers to the distortion or asymmetry in a Bell Curve or Normal Distribution. It tells us how much a distribution varies from the Normal Distribution. A Normal Distribution has a Skewness of zero. A distribution can be right (positively) or left (negatively) skewed.



You will learn about the skewness and kurtosis, which are important properties of distributions, in this lesson.

What is Data Science?

Applications of Data Science

Overview of Libraries

Data Manipulation with NumPy

Data Analysis with pandas

Probability and Statistics

Conclusion

Skewness and Kurtosis

Skewness