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Data Analysis Curriculum Overview

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Data Analysis Curriculum Overview

1. 1. Welcome to Data Analysis<br />
2. 2. Course Outline<br />Chapter 11: Probability<br />Chapter 12: Statistics<br />Chapter 14: Voting and Apportionment<br />
3. 3. Chapter 11: Probability<br />Fundamental Counting Principle<br />Permutations<br />Combinations<br />Basic Probability<br />Probability with FCP, Permutations and Combinations<br />Probability involving Not, Or, And<br />Odds and Expected Value<br />
4. 4. Chapter 12: Statistics<br />Sampling, Frequency Distribution and Graphs<br />Measures of Central Tendency<br />Measures of Dispersion<br />The Normal Distribution<br />Scatter Plots, Correlation and Regressions<br />
5. 5. Chapter 14: Voting and Apportionment<br />Voting Methods<br />Flaws of Voting Methods<br />Apportionment Methods<br />Flaws of Apportionment Methods<br />
6. 6. Why Study these concepts?<br />Life is filled with risks and uncertainty.<br />Probability theory will give you tools to help you in making decisions.<br />Should you buy a protection insurance for your new phone or computer?<br />According to today’s weather forecast, there is a 60% chance of rain. What does it mean?<br />What are the chances of being crowned the Homecoming Queen or Snowball Princess?<br />