msb-public
/
Data-Science-For-Beginners
mirror of https://github.com/microsoft/Data-Science-For-Beginners.git
1
0
Code Issues Projects Releases Wiki Activity
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from 'leestott-patch-13'
${ noResults }
Data-Science-For-Beginners/translations/en/1-Introduction/README.md

1.8 KiB
Raw Permalink Blame History

Introduction to Data Science

data in action

Photo by Stephen Dawson on Unsplash

In these lessons, you will explore what Data Science is and learn about the ethical responsibilities that a data scientist must keep in mind. You will also understand what data is and get an introduction to statistics and probability, which are the foundational academic fields of Data Science.

Topics

  1. Defining Data Science
  2. Data Science Ethics
  3. Defining Data
  4. Introduction to Statistics and Probability

Credits

These lessons were created with ❤️ by Nitya Narasimhan and Dmitry Soshnikov.

Disclaimer:
This document has been translated using the AI translation service Co-op Translator. While we aim for accuracy, please note that automated translations may include errors or inaccuracies. The original document in its native language should be regarded as the authoritative source. For critical information, professional human translation is advised. We are not responsible for any misunderstandings or misinterpretations resulting from the use of this translation.