Curriculum
Section 1: Online Retail Analytics Courses Training
1 Introduction to Retail Analytics
2 Introduction to Retail Analytics continued
3 Retail Overviews Part 1
4 Retail Overviews Part 2
5 Retail Overviews Part 3
6 Retail Overviews Part 4
7 Product Terminology Part 1
8 Product Terminology continued
9 Supply Chain Terminology
10 Supply Chain Terminology continued
11 Assortmet Terminology
12 Different type of retail channels
13 How multi channel help retailer
14 How a brick and mortar retailer can developed multi channel strategy
15 Retail Dashboard
16 Retail Dashboard continued
17 Recency Frequency and Monetary value segmentation
18 Recency Frequency and Monetary value segmentation continued
19 Building Model , Examples and application of RFM
20 Building Model , Examples and application of RFM continued
21 Retail analytics MBA Methodology Part 01
22 Retail analytics MBA Methodology Part 02
23 Retail analytics MBA Methodology 2
24 Category Score Card Part 1
25 Category Score Card Part 2
26 Category Score Card Part 3
27 Category Score Card Part 4 part-1
28 Category Score Card Part 4 part-2
29 Category Score Card Part 4
30 Category Score Card Part 5
31 Category Score Card Part 6
32 Store Clustering Part 1_Part 01
33 Store Clustering Part 1_Part 02
34 Store Clustering Part 2
35 Case Study Part 1
36 Case Study Part 2
37 Data Understanding Part 1- Part-1
38 Data Understanding Part 1- Part-2
39 Data Understanding Part 2
40 Data modelling part 1
41 Data modelling part 2 Part-1
42 Data modelling part 2 Part-2
43 Data modelling part 3
44 Recommendation Part 1- Part-1
45 Recommendation Part 1- Part-2
46 Recommendation Part 2- Part-1
47 Recommendation Part 2- Part-2
Section 2: Google Analytics
48 Introduction to Web Analytics
49 Diiferent-web-analytics-tools-and-method-of-web-analysis
50 process-of-how-google-analytics-tracking-works_part01
51 process-of-how-google-analytics-tracking-works_part02
52 structure-of-google-analytics-accoun_part01
53 structure-of-google-analytics-accoun_part02
54 implementing-google-analytics-tracking-code_part01
55 implementing-google-analytics-tracking-code_part02
56 use-of-views-and-filters_part01
57 use-of-views-and-filters_part02
58 use-of-pre-defined-filters
59 importance-of-goal-setting_part01
60 importance-of-goal-setting_part02
61 implementing-goal-setting_part 01
62 implementing-goal-setting_part 02
63 user-permissions-in-analytics-1
64 user-permissions-in-analytics-2
65 using-reporting-interface-and-basic-analytics-concepts_part01
66 using-reporting-interface-and-basic-analytics-concepts_part02
67 other-concepts-of-google-analytics
68 understanding-audience-tab-and-reports_part01
69 understanding-audience-tab-and-reports_part02
70 understanding-acqusition-tab
71 understanding-behaviour-tab_part 01
72 understanding-behaviour-tab_part 02
73 understanding-conversions-tab_part01
74 understanding-conversions-tab_part02
75 understanding-dashboard-tab
76 understanding-shortcuts-tab
77 understanding-intelligence-events-tab_part01
78 understanding-intelligence-events-tab_part02
79 understanding-real-time-tab_PART01
80 understanding-real-time-tab_PART02
81 understanding-email-and-export-options
82 performing-iteration-and-analysis
Section 3: SPSS - Analyze Data for Statistical Analysis
83 Introduction to SPSS
84 Introduction to SPSS continued
85 Data entry of a Questionnaire format
86 Data entry of MCQ question
87 Arranging columns in Asc, Desc order
88 Input Likert Scale
89 Analyse mean, median, mode
90 Basic data operation
91 Data deleting & filtering
92 Data deleting & filtering continued
93 Opening an excel file in SPSS
94 Performing independent samples t-test
95 Performing paired t-test
96 Correlation Analysis
97 Wilcoxon test
98 Mann-Whitney Test
100 Chi-Square Test
101 One-way ANOVA
102 Error Bar Chart
103 One-way Within Subjects ANOVA
104 Single-Linear & Multi-Linear Regression
105 Dummy Variable
106 Summary of SPSS
Section 4: R-Studio Annova Techniques
107 Anova Introduction
108 One-way Anova, Ratings
109 Randomized block design
110 Anova Practical in R Studio
111 How to run an Anova in R Studio
112 Introduction to Factorial
113 Learning about Factorial
114 Continuation of Factorial
115 Further Continuation of Factorial
116 Factorial(R Studio-1)
117 Factorial(R Studio-2)
118 Introduction to Factor Analysis
119 Understanding about Factor Analysis
120 Learning about Factor Analysis
121 Continuation of Factor Analysis
122 Factor Analysis(R Studio practice)
123 Continuation of Factor Analysis(R Studio practice)
Section 5: Factorial Anova
124 Introduction to Factorial
125 Learning about Factorial
126 Continuation of Factorial
127 Further Continuation of Factorial
128 Factorial(R Studio-1)
129 Factorial(R Studio-2)
130 Introduction to Factor Analysis
131 Understanding about Factor Analysis
132 Learning about Factor Analysis
133 Continuation of Factor Analysis
134 Factor Analysis(R Studio practice)
135 Continuation of Factor Analysis(R Studio practice)
Section 6: Marketing Analytics
136 Introduction
137 What is Marketing ?
138 Why do we Need Marketing ?
139 What to Market ?
140 Whom and When to Market ?
141 How Analytics drives Marketing Strategies ?
142 Acquisition to Retention
143 Customer Profitability to contact strategy
144 Campaign Analytic
Section 7: Tableau - Learn Visual Analytics Using Tableau
145 Introduction and Key Features
146 Architecture
147 Course Introduction and Objectives
148 Course views, calculations and dashboard
149 Start Page and how to pin a workbook
150 Workspace Basics
151 Difference between Dimensions and Measures in Tableau
152 Tableau ToolBar
153 Tableau ToolBar continued
154 Tool Tips and Shelves
155 Card and Shelves in Tableau
156 Work book and work sheets creation and changes Part-1
157 Work book and work sheets creation and changes Part-2
158 Different type of Tableau Files
159 Different type of Tableau Files continued
