Get ready to analyze, visualize, and interpret data! Thought-provoking examples and chances to combine statistics and programming will keep you engaged and challenged.
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Statistics is about extracting meaning from data. In this class, we will introduce techniques for visualizing relationships in data and systematic techniques for understanding the relationships using mathematics.
This course will cover visualization, probability, regression and other topics that will help you learn the basic methods of understanding data with statistics.
Syllabus
Lesson 1
Visualizing relationships in data
Seeing relationships in data.
Making predictions based on data.
Simpson's paradox.
Lesson 2
Probability
Introduction to Probability.
Bayes Rule.
Correlation vs. Causation.
Lesson 3
Estimation
Maximum Likelihood Estimation.
Mean, Median, Mode.
Standard Deviation and Variance.
Lesson 4
Outliers and Normal Distribution.
Outliers, Quartiles.
Binomial Distribution.
Manipulating Normal Distribution.
Lesson 5
Inference
Confidence Intervals.
Hypothesis Testing.
Lesson 6
Regression
Linear regression.
Correlation.
Lesson 7
Final Exam
