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IV : Data Visualization and Python Essentials
Welcome
Live Data Analytics
Syllabus
I : Foundations of Business Analytics and R
Introduction to Business Analytics
1
Understanding Business Analytics
2
Types of Business Analytics
R Basics
3
Overview of R and R Studio
4
Data Structures
5
Functions
6
Statements and Looping
Statistical Test Selection
7
Choose your Test for Data Analysis
II : Descriptive and Diagnostic Analytics
Descriptive Analytics
8
Introduction to Descriptive Analytics
9
Measures of Central Tendency
10
Measures of Dispersion
11
Measures of Skewness
12
Measures of Kurtosis
Diagnostic Analytics
13
Introduction to Diagnostic Analytics
14
Parametric vs Non-Parametric Tests
Nominal Tests
15
Introduction to Nominal Tests
16
Binomial Test
17
Mc Nemar’s Test
18
Cochran’s Q test-post-hoc test
19
Chi-square test
20
Phi-Coefficient of Correlation
III : Inferential Statistics: Ordinal and Scale Tests
Scale Tests (Parametric Tests)
21
Introduction to Parametric Tests
22
T-tests
23
One-Sample T-Test
24
Two Sample t-test / Independent samples t-test
25
Paired Samples t-test
26
ANOVA
27
One way Anova
28
Two way Anova
29
Post Hoc Tests for ANOVA
30
Repeated Measures ANOVA
31
Karl Pearson’s Coefficient of Correlation
Ordinal Tests (Non-parametric Tests)
32
Introduction to Non-parametric Tests
33
Wilcoxon Signed Rank Test
34
Mann-Whitney U Test
35
Kruskal-Wallis Test
36
Friedman Tests and related Post-hoc Tests
37
Spearman Rank Correlation
IV : Data Visualization and Python Essentials
Data Visualization Using R Graphics and R Commander/R Deducer
38
Introduction to Data visualization
39
Graphical Presentation – Scatter plot, Histogram
40
Diagrammatic Presentation – Bar Charts
41
Pie charts 2D and 3D
42
Box plots
43
Line plots
Python Essentials
44
Understanding Python
45
Data types
46
Operators
47
Numpy
48
Pandas
49
Scipy
References
Contents
Data Visualization Using R Graphics and R Commander/R Deducer
Python Essentials
IV : Data Visualization and Python Essentials
Data Visualization Using R Graphics and R Commander/R Deducer
Introduction to Data visualization
Graphical Presentation – Scatter plot, Histogram
Diagrammatic Presentation – Bar Charts
Pie charts 2D and 3D
Box plots
Line plots
Python Essentials
Understanding Python
Data types
Operators
Numpy
Pandas
Scipy
37
Spearman Rank Correlation
38
Introduction to Data visualization