- [Voiceover] Bayes' theorem is an important tool…that allows you to look at the other side of the coin…when analyzing data.…More specifically, it often helps you…answer the right question.…Most inferential tests typically give you…the probability of the data, the observed effect,…assuming a particular cause or hypothesis.…But what most people want is the opposite of that.…They want the probability of the hypothesis or the cause…given the observed data,…and those two can have very different answers.…And so there's a real disjoint in what's available.…
Fortunately, Bayes, Bayes' theorem does this.…Now, Thomas Bayes was an 18th century English minister,…a statistician.…We actually don't know what he looked like,…so we get to have our anonymous silhouette here.…But Bayes' theorem uses prior probabilities…and test information to get…what are called posterior probabilities.…Now, that has to do with probabilities…before and after you gather data.…You start with the probability…of the data given the hypothesis.…That's called the likelihood of the data,…
- 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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