- [Voiceover] In any attempt to…define the field of Data Science,…one of the best places to start…is with something called the Data Science Venn Diagram.…Now, this was created by Drew Conway back in 2013,…and it consists of three separate circles,…which represent different areas,…and taken together, they constitute Data Science.…The first one, on the top left, is Hacking Skills,…or computer programming and coding.…The ability to retrieve and manipulate data.…On the right is Math and Statistics,…the ability to actually make sense of that data.…
And on the bottom, a crucial third component…is Substantive Expertise, or familiarity…of working in any particular applied domain.…Now, let's take a look at each of those things…very briefly.…Hacking Skills, or computer programming,…is there to gather and prepare data.…Once you get that data, it's often in unusual data formats,…things that don't fit well into the…rows and columns of a spreadsheet or a database.…And consequently, substantial creativity…is required in the hacking skills.…
- Assess the skills required for a career in data science.
- Evaluate different sources of data, including metrics and APIs.
- Explore data through graphs and statistics.
- Discover how data scientists use programming languages such as R, Python, and SQL.
- Assess the role of mathematics, such as algebra, in data science.
- Assess the role of applied statistics, such as confidence intervals, in data science.
- Assess the role of machine learning, such as artificial neural networks, in data science.
- Define the components of effective data visualization.
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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