Essentials of Data Science
Offered By: Udemy
Course Description
Overview
What you'll learn:
- Understand the concepts of Data Science
- Identify different data types
- Know the 3 essential fields that data science is made up of
- You want to know what someone in the Data Science field does
Data Science is growing ever faster as Big Data become an increasingly important part of ourlives.
Because data is universal, the applications of Data Science are pretty much endless, all you need is access to the data of the system that you want to study.
Since it's such a new field, there are a lot of questions about what is Data Science, what do Data Scientists do, and what do you need to succeed as a Data Scientist?
This course is designed to give you an overview of the three essential areas of Data Science, the areas that every good data scientist should know, and being proficient in these areas can be the key to your success. After this course you will have a clear understanding of what Data Science is all about, and can make a clear decision of if it's the right field for you. You will also know what areas are important in Data Science, and hence can make informed decisions on what areas to focus on learning.
When you really get into Data Science there are other areas that start coming in too, but all of these can be traced back to one, or multiple, of these three basic foundations.
Taught by
Maximilian Schallwig
Related Courses
Data AnalysisJohns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Scientific Computing
University of Washington via Coursera Introduction to Data Science
University of Washington via Coursera Web Intelligence and Big Data
Indian Institute of Technology Delhi via Coursera