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 '51c378fdc7'
${ noResults }
Data-Science-For-Beginners/1-Introduction
History
Angel Mendez 2125afcd30
fix:(translation) Fix broken links on main page module 1 		3 years ago
..
01-defining-data-science editing tracking code for Dmitry to 'academic' 3 years ago
02-ethics Added the translation for the ethics README 3 years ago
03-defining-data fix(translation): Fix typo on module 1 section 3 3 years ago
04-stats-and-probability Revert "feat: Module 1 section 4 - Add file content to be translated" 3 years ago
images adding some intro text for the first lesson batch 3 years ago
translations fix:(translation) Fix broken links on main page module 1 3 years ago
README.md [zh-cn] 1/README 3 years ago

README.md

Introduction to Data Science

data in action

Photo by Stephen Dawson on Unsplash

In these lessons, you will discover how Data Science is defined and learn about ethical considerations that must be considered by a data scientist. You will also learn how data is defined and learn a bit about statistics and probability, the core academic domains 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 written with ❤️ by Nitya Narasimhan and Dmitry Soshnikov.