Join Barton Poulson for an in-depth discussion in this video Demand, part of Introduction to Data Science.
- [Voiceover] We're going to being this course…by talking about the demand for data science.…Now, to make sense out of that,…we first need to say what data science even is.…One common definition, and I'll say more about this later,…is that data science is the field that joins statistics…and programming in applied settings.…Now, I have a couple of other possible definitions for this.…These are ones that I made up.…I like to think of it as the analysis of diverse data.…Meaning, data that doesn't fit into common format,…data no matter where it comes from,…no matter how it's constituted…that you need to answer your important questions.…
Or even more succinctly,…I like to call it inclusive analysis.…Data science is data analysis…that includes all kinds of data.…Anything that you can use to get insight…and actionable steps out of your data.…Now, that may not sound like much all on it's own.…But take a look at this article…from the Harvard Business Review.…It says Data Scientist: The Sexiest Job of the 21st Century.…
- The demand for data science
- Roles and careers
- Ethical issues in data science
- Sourcing data
- Exploring data through graphs and statistics
- Programming with R, Python, and SQL
- Data science in math and statistics
- Data science and machine learning
- Communicating with data
Skill Level Beginner
1. What Is Data Science?
2. Fields of Study
Ethical issues2m 39s
4. Data Sources
5. Data Exploration
8. Applied Statistics
9. Machine Learning
Next steps2m 17s
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