- [Voiceover] When reporting the results…of your data science project,…you need to be be able to provide…actionable insights to your client.…I think of it this way.…Data and data science is for doing.…And that's a paraphrase…of one of my intellectual heroes who said,…"My thinking is first and last and always…for the sake of my doing".…That's from American philosopher…and psychologist, William James.…You don't want to get in a situation…of working really hard without knowing…what you're doing…and without having anything useful.…Reminds me of another line.…
"We're lost, but we're making good time",…from Yankees catcher, Yogi Berra.…The idea here is you want to be able…to point the way.…Remember, the project was conducted for a reason.…Why was the project conducted?…The goal of the project…is usually to direct some future action.…They're trying to make a decision,…one way or another.…And the analysis that you conduct…should be able to guide that action…in a meaningful and well-informed way.…One of the things that you need to do…
- 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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