Data Science and Statistics definitions from the Data Science Association’s , “personal code of conduct”:
“Data Scientists” means a professional who uses scientific methods to liberate and create meaning from raw data.
To a statistician this sounds like a lot similar what applied statistician do : use methodology to make inferences from data
“Statistics” means the practice or science of collecting and analyzing numerical data in large quantities.
RELATION BETWEEN THE TWO FIELDS, “STATISTICS & DATA SCIENCE”:
Does statistics plays a very crucial role in the field of Data Science and the answers is yes in most cases . Statistics is foundational to Data Science , there is strong relationship between these two fields.Statistics is one of the most important discipline that provide tools and methods to find structure and give deeper insights into data.
Machine Learning is rapidly growing field at the intersection of computer science and statistics concerned with finding patterns in data. It is responsible for various advancements in technology, product recommendations to Speech recognition to Autonomous driving ; machine learning is having presence in almost the fields.
In this webinar, we will cover:
Introduction to Statistics.
Why do we need Statistics in Data Science.
Different Types of Statistics.
A glance into Descriptive Statistics with Case Study
Career Question and Answers.
Join us in this Webinar to have a better understanding, how to get started with Data Science
Co Founder – AdorithmMeasurement Expert | ML & AI Evangelist