Statistics Foundations 4: Advanced Topics

Course details

Statistics are everywhere, in every industry, but they're a must for anyone working in data science, business, or business analytics. If you're in one of these specialized fields, chances are you need an advanced understanding of statistics. Complete your mastery in this course, part four in our Statistics Foundations series. Eddie Davila covers concepts such as small sample sizes, t-distribution, degrees of freedom, and more. This advanced skills training moves learners into the practical study and application of experimental design, analysis of variance (ANOVA), two-population comparisons, and regression analysis. Use these lessons to go beyond the basics and dive deeper into the specific factors that influence your own calculations and results.

Concepts

0. Introduction

01 - The power of advanced statistics

1. Comparing Two Populations - Proportions

02 - Explanation of two population comparisons
03 - Two population - Confidence interval example
04 - Two population - Hypothesis test example

2. Comparing Two Populations - Means

05 - Explanation of two population mean comparisons
06 - Visualization - Re-randomizing
07 - Two population means - Confidence interval example
08 - Two population means - Hypothesis test example

3. T-Tests

09 - T-distribution vs. z-distribution
10 - T-score tables and degrees of freedom
11 - Use T-scores to develop confidence intervals

4. ANOVA - Analysis of Variance

12 - ANOVA - What is analysis of variance
13 - One-way ANOVA and the sum of squares total (SST)
14 - Sum of squares within (SSW) and sum of squares between (SSB)
15 - F-statistic and ANOVA hypothesis test example

5. Regression Analysis

16 - What is regression
17 - Regression best fit line
18 - Coefficient of determination (R-squared)
19 - The correlation coefficient

Continuing Your Advanced Statistics Learning Journey

20 - Next steps and additional resources