Statistics for Data Science and Business Analysis
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01 – Introduction
02 – Sample or population data
03 – The fundamentals of descriptive statistics
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Reading
Lesson 001 The various types of data we can work with
Video - 00:4:33 mins
Lesson 003 Levels of measurement
Video - 00:3:43 mins
Lesson 005 Categorical variables. Visualization techniques for categorical variables
Video - 00:4:52 mins
Lesson 008 Numerical variables. Using a frequency distribution table
Video - 00:3:10 mins
Lesson 011 Histogram charts
Video - 00:2:14 mins
Lesson 014 Cross tables and scatter plots
Video - 00:4:44 mins
04 – Measures of central tendency, asymmetry, and variability
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Lesson 001 The main measures of central tendency mean, median and mode
Video - 00:4:20 mins
Lesson 003 Measuring skewness
Video - 00:2:37 mins
Lesson 006 Measuring how data is spread out calculating variance
Video - 00:5:55 mins
Lesson 008 Standard deviation and coefficient of variation
Video - 00:4:40 mins
Lesson 011 Calculating and understanding covariance
Video - 00:3:23 mins
Lesson 013 The correlation coefficient
Video - 00:3:17 mins
05 – Practical example descriptive statistics
06 – Distributions
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Reading
Lesson 001 Introduction to inferential statistics
Video - 00:1:1 mins
Lesson 002 What is a distribution
Video - 00:4:33 mins
Lesson 004 The Normal distribution
Video - 00:3:54 mins
Lesson 006 The standard normal distribution
Video - 00:3:31 mins
Lesson 009 Understanding the central limit theorem
Video - 00:4:20 mins
Lesson 011 Standard error
Video - 00:1:27 mins
07 – Estimators and estimates
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Lesson 001 Working with estimators and estimates
Video - 00:3:7 mins
Lesson 003 Confidence intervals - an invaluable tool for decision making
Video - 00:2:41 mins
Lesson 005 Calculating confidence intervals within a population with a known variance
Video - 00:8:1 mins
Lesson 007 Confidence interval clarifications
Video - 00:4:38 mins
Lesson 008 Student's T distribution
Video - 00:3:23 mins
Lesson 010 Calculating confidence intervals within a population with an unknown variance
Video - 00:4:36 mins
Lesson 012 What is a margin of error and why is it important in Statistics
Video - 00:4:53 mins
08 – Confidence intervals advanced topics
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Reading
Lesson 001 Calculating confidence intervals for two means with dependent samples
Video - 00:6:4 mins
Lesson 003 Calculating confidence intervals for two means with independent samples (part 1)
Video - 00:4:31 mins
Lesson 005 Calculating confidence intervals for two means with independent samples (part 2)
Video - 00:3:57 mins
Lesson 007 Calculating confidence intervals for two means with independent samples (part 3)
Video - 00:1:27 mins
09 – Practical example inferential statistics
10 – Hypothesis testing Introduction
11 – Hypothesis testing Let’s start testing!
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Reading
Lesson 001 Test for the mean. Population variance known
Video - 00:6:34 mins
Lesson 003 What is the p-value and why is it one of the most useful tools for statisticians
Video - 00:4:13 mins
Lesson 005 Test for the mean. Population variance unknown
Video - 00:4:49 mins
Lesson 007 Test for the mean. Dependent samples
Video - 00:5:18 mins
Lesson 009 Test for the mean. Independent samples (Part 1)
Video - 00:4:22 mins
Lesson 011 Test for the mean. Independent samples (Part 2)
Video - 00:4:26 mins
12 – Practical example hypothesis testing
13 – The fundamentals of regression analysis
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Reading
Lesson 001 Introduction to regression analysis
Video - 00:1:2 mins
Lesson 003 Correlation and causation
Video - 00:4:13 mins
Lesson 005 The linear regression model made easy
Video - 00:5:50 mins
Lesson 007 What is the difference between correlation and regression
Video - 00:1:44 mins
Lesson 009 A geometrical representation of the linear regression model
Video - 00:1:25 mins
Lesson 011 A practical example - Reinforced learning
Video - 00:5:46 mins
14 – Subtleties of regression analysis
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Lesson 001 Decomposing the linear regression model - understanding its nuts and bolts
Video - 00:3:38 mins
Lesson 003 What is R-squared and how does it help us
Video - 00:5:24 mins
Lesson 005 The ordinary least squares setting and its practical applications
Video - 00:2:24 mins
Lesson 007 Studying regression tables
Video - 00:4:54 mins
Lesson 010 The multiple linear regression model
Video - 00:2:56 mins
Lesson 012 The adjusted R-squared
Video - 00:5:24 mins
Lesson 014 What does the F-statistic show us and why do we need to understand it
Video - 00:2:1 mins
15 – Assumptions for linear regression analysis
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Reading
Lesson 001 OLS assumptions
Video - 00:2:21 mins
Lesson 003 A1. Linearity
Video - 00:1:50 mins
Lesson 005 A2. No endogeneity
Video - 00:4:9 mins
Lesson 007 A3. Normality and homoscedasticity
Video - 00:5:47 mins
Lesson 009 A4. No autocorrelation
Video - 00:3:14 mins
Lesson 011 A5. No multicollinearity
Video - 00:3:26 mins
16 – Dealing with categorical data
17 – Practical example regression analysis
18 – Bonus lecture
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