# The Data Science Course 2020 Q2 Updated: Part 1

### ðŸ‘‰ The Data Science Course 2020 Q2 Updated: Part 1 # Udemy NED

*“ Data
Scientist is a person who is better at statistics than any programmer
and better at programming than any statistician.” - Josh Wills. The Data Science Course 2020 Q2 Updated: Part 1. In this course we lay your foundation on Data Science. *

What you'll learn

- You will gain a firm foothold of the fundamentals of Data Science. The course provides the entire toolbox you need to become a data scientist.
- You will understand the mathematics and statistics behind Machine Learning
- You will understanding the Octagonal Technical Facets of Data Science
- You will learn how to pre-process data
- You will understand the corporate roles that exist in Data Science
- You will understand the important terminologies and statistical methods in data science
- You will understand Discrete and Continuous random variables
- You will learn the basics of descriptive statistics using a Metric example
- You will learn what percentile is with the help of examples

*“Data
Scientist is a person who is better at statistics than any programmer
and better at programming than any statistician.” - Josh Wills*

The Data Science Course 2020 Q2 Updated: Part 1

In this course we lay your foundation on Data Science. More often than not participants rush into learning data science without knowing what exactly they are getting into: this course will give you insights and clarity on what data science is all about.

**Statistics, Math, Linear Algebra**

If we talk in general about Data Science, then for a serious understanding and work we need a fundamental course in probability theory (and therefore, mathematical analysis as a necessary tool in probability theory), linear algebra and, of course, mathematical statistics. Fundamental mathematical knowledge is important in order to be able to analyze the results of applying data processing algorithms. There are examples of relatively strong engineers in machine learning without such a background, but this is rather the exception.

**Data Mining and Data Visualization**

Data Mining is an important analytic process designed to explore data. It is the process of analyzing hidden patterns of data according to different perspectives for categorization into useful information, which is collected and assembled in common areas, such as data warehouses, for efficient analysis, data mining algorithms, facilitating business decision making and other information requirements to ultimately cut costs and increase revenue.

## Post a Comment for " The Data Science Course 2020 Q2 Updated: Part 1"