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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 – one Sample, Two Sample, Paired Sample
23
ANOVA – One way and Two Way with Post-hoc tests, Repeated Measures ANOVA
24
Karl Pearson’s Coefficient of Correlation
Ordinal Tests (Non-parametric Tests)
25
Introduction to Non-parametric Tests
26
Wilcoxon Signed Rank Test
27
Mann-Whitney U Test
28
Kruskal-Wallis Test
29
Friedman Tests and related Post-hoc Tests
30
Spearman Rank Correlation
IV : Data Visualization and Python Essentials
Data Visualization Using R Graphics and R Commander/R Deducer
31
Introduction to Data visualization
32
Graphical Presentation – Scatter plot, Histogram
33
Diagrammatic Presentation – Bar Charts
34
Pie charts 2D and 3D
35
Box plots
36
Line plots
Python Essentials
37
Understanding Python
38
Data types
39
Operators
40
Numpy
41
Pandas
42
Scipy
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
30
Spearman Rank Correlation
31
Introduction to Data visualization