Syllabus

The complete module-and-topic map of the book. Click any module to open its overview, or jump straight to a numbered topic.

Four-Module Path · 49 Topics

IFoundations of Business Analytics and R7 topics

Introduction to Business Analytics

1Understanding Business Analytics 2Types of Business Analytics

R Basics

3Overview of R and R Studio 4Data Structures 5Functions 6Statements and Looping

Statistical Test Selection

7Choose your Test for Data Analysis

IIDescriptive and Diagnostic Analytics13 topics

Descriptive Analytics

8Introduction to Descriptive Analytics 9Measures of Central Tendency 10Measures of Dispersion 11Measures of Skewness 12Measures of Kurtosis

Diagnostic Analytics

13Introduction to Diagnostic Analytics 14Parametric Vs Non-Parametric Tests

Nominal Tests

15Introduction to Nominal Tests 16Binomial Test 17Mc Nemar's Test 18Cochran's Q test-post-hoc test 19Chi-square test 20Phi-Coefficient of Correlation

IIIInferential Statistics: Ordinal and Scale Tests17 topics

Scale Tests (Parametric Tests)

21Introduction to Parametric Tests 22T-tests 23T-tests - one Sample, Two Sample, Paired Sample 24T-tests - one Sample, Two Sample, Paired Sample 25T-tests - one Sample, Two Sample, Paired Sample 26ANOVA 27One way ANOVA 28Two Way ANOVA 29Post-hoc tests 30Repeated Measures ANOVA 31Karl Pearson's Coefficient of Correlation

Ordinal Tests (Non-parametric Tests)

32Introduction to Non-parametric Tests 33Wilcoxon Signed Rank Test 34Mann-Whitney U Test 35Kruskal-Wallis Test 36Friedman Tests and related Post-hoc Tests 37Spearman Rank Correlation

IVData Visualization and Python Essentials12 topics

Data Visualization Using R Graphics and R Commander / R Deducer

38Introduction to Data visualization 39Graphical Presentation - Scatter plot, Histogram 40Diagrammatic Presentation - Bar Charts 41Pie charts 2D and 3D 42Box plots 43Line plots

Python Essentials

44Understanding Python 45Data types 46Operators 47Numpy 48Pandas 49Scipy