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Course Overview and Curriculum
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Introduction to Core Data Concepts
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Measurements of Central Tendency - Mean, Median, and Mode
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Measurements of Dispersion - Variance and Standard Deviation
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Quartiles and IQR
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Introduction to Visualizing Data
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Scatter Plots
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Line Plots
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Distribution Plots - Histograms
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Categorical Plots - Bar Plots
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Categorical/Distribution Plots - Box and Whisker Plots
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Other Plot Types - Violin Plot, KDE Plot
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Common Plot Pitfalls
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Introduction to Combinatorics
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Factorials
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Permutations
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Combinations
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Introduction to Probability
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Probability, Law of Large Numbers, Experimental vs. Expected
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The Addition Rule, Union and Intersection, Venn Diagrams
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Conditional Probability, Independent and Dependent
• Урок 22. 00:13:17
Bayes' Theorem
• Урок 23. 00:26:03
Discrete Probability
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Transforming Random Variables
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Combinations of Random Variables
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Introduction to Joint Distributions
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Covariance
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Pearson Correlation Coefficient
• Урок 29. 00:15:57
Introduction to Data Distributions
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Probability Mass Functions
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Discrete Uniform Distribution - Dice Roll
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Probability Density Functions
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Continuous Uniform Distribution - Voltage
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Cumulative Distribution Functions
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Binomial Distribution
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Bernoulli Distribution
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Poisson Distribution
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Introduction to The Normal Distribution
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Mean, Variance, and Standard Deviation
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Normal Distribution
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Standard Normal Distribution
• Урок 42. 00:19:50
Z-Scores
• Урок 43. 00:14:30
Introduction to Sampling
• Урок 44. 00:27:17
Sampling and Bias
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The Central Limit Theorem
• Урок 46. 00:11:02
The Student's t-Distribution
• Урок 47. 00:20:33
Confidence Interval for the Mean
• Урок 48. 00:16:18
Introduction to Hypothesis Testing
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Inferential Statistics and Hypotheses
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Significance Level and Type I and II Errors
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Test Statistics for One- and Two-Tailed Tests
• Урок 52. 00:21:50
The p-Value and Rejecting the Null
• Урок 53. 00:21:02
A|B Testing
• Урок 54. 00:12:59
Introduction to Regression
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Scatterplots and Regression
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Correlation Coefficient and the Residual
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Coefficient of Determination and the RMSE
• Урок 58. 00:16:54
Chi-Square Tests
• Урок 59. 00:24:50
ANOVA