Here is the quote “Data Scientist is a person who is better at statistics than any programmer and better at programming than any statistician”-John Wills.**Math **and **Statistics **for Data Science are essential because these disciples form the basic foundation of all the Machine Learning Algorithms. In fact, **Mathematics **is behind everything around us, from shapes, patterns and colors, to the count of petals in a flower. Mathematics is embedded in each and every aspect of our lives.Machine Learning algorithms and following a data-driven approach is necessary to become a Data Scientist, Data Science isn’t all about these fields. In this post, you will know the importance of Math and Statistics for Data Science and how they can be used to build Machine Learning models.
List of Topics covering in Math and Statistic for Data Science:
- Introduction To Statistics
- Terminologies In Statistics
- Categories In Statistics
- Understanding Descriptive Analysis
- Understanding Inferential Analysis
Now, Lets Deep Dive into Statistic and Math….
#data-science-training #mathematics #data-science #statistics
