Data science differentiates itself from academic statistics and application programming by using what it needs from a variety of disciplines. In this course, you'll explore what it is to be a data scientist and study what sets data science apart from other disciplines. It prepares learners to navigate the foundational elements of data science.
Learning Objectives
Defining Data Science
- start the course
- define data science and what it is to be a data scientist
- describe the data wrangling aspect of data science
- describe the big data aspect of data science
- describe the machine learning aspect of data science
Implementing Data Science
- use common data science terminology
- recognize ways to communicate results of your data science
- recall the steps in data science analysis
- compare various tools and software libraries used for data science
Practice: Exploring Data Science
- Exercise: Explore Your Data Science Needs