What you’ll learn
- This training is a practical and a quantitative course which will help you learn customer analytics with the perspective of a data scientist.
Requirements
- Basic knowledge in statistics, mathematics, programming
- Basic knowledge of using R and Tableau
- Passion to learn and apply
Description
Course Curriculum
Customer Analytis using R and Tableau | |||
Introduction to Customer Analytics using R and Tableau | 00:00:00 | ||
Market Research NPS of Banks | 00:00:00 | ||
Exception Vs Preception | 00:00:00 | ||
Market Segmentation for Airlines | 00:00:00 | ||
Summary of Each Cluster Group | 00:00:00 | ||
Descriptive Analytics | 00:00:00 | ||
Company Performance – Key Matrices | 00:00:00 | ||
Predictive Analytics | 00:00:00 | ||
Telecom Churn | 00:00:00 | ||
Telecom Churn Continues | 00:00:00 | ||
Sensitivity and Specificity | 00:00:00 | ||
Prescriptive Analytics | 00:00:00 | ||
Case Studies | 00:00:00 | ||
Pricing Analytics using R and Tableau | |||
Introduction to Pricing Analytics Using R and Tableau | 00:00:00 | ||
What is Pricing Analytics | 00:00:00 | ||
Pricing Strategy in Business | 00:00:00 | ||
Different Pricing Strategies | 00:00:00 | ||
Understanding Cost | 00:00:00 | ||
Elasticity | 00:00:00 | ||
Calculating Elasticity from Regression Model | 00:00:00 | ||
Pricing Strategy of Ratio Taxis and Toll Booths | 00:00:00 | ||
Snapshot of Dataset | 00:00:00 | ||
Toll Gate 1 Results | 00:00:00 | ||
Descriptive Analytics | 00:00:00 | ||
Predictive Analytics | 00:00:00 | ||
Descriptive Analytics – Graph | 00:00:00 | ||
Predictive Analytics – Understanding the Future | 00:00:00 | ||
Prescriptive Analytics – Advice on Possible Outcomes | 00:00:00 | ||
Business Intelligence with Tableau | |||
Introduction to Business Intelligence with Tableau | 00:00:00 | ||
Business Intelligence | 00:00:00 | ||
More on Tableau | 00:00:00 | ||
Evaluation of Tableau | 00:00:00 | ||
Tableau Architecture | 00:00:00 | ||
Tableau Architecture Continues | 00:00:00 | ||
Installation Steps of Tableau | 00:00:00 | ||
Steps for Tableau Project Reports | 00:00:00 | ||
Steps for Tableau Report Example | 00:00:00 | ||
Navigation in Tableau | 00:00:00 | ||
Navigation in Tableau Example | 00:00:00 | ||
Navigation in Tableau Example Continues | 00:00:00 | ||
More on Navigation of Tableau | 00:00:00 | ||
Design Flow of Tableau | 00:00:00 | ||
Type of Files in Tableau | 00:00:00 | ||
Type of Files in Tableau Continues | 00:00:00 | ||
Data Types in Tableau | 00:00:00 | ||
Data Terminology | 00:00:00 | ||
More on Data Terminology | 00:00:00 | ||
Input Data Sources and Connection in Tableau | 00:00:00 | ||
Extracting Data Using Tableau | 00:00:00 | ||
Example of Fields in Tavleau | 00:00:00 | ||
Tableau Metadata | 00:00:00 | ||
Types of Joins in Tableau | 00:00:00 | ||
Worksheet Options in Tableau | 00:00:00 | ||
Types of Operator in Tableau | 00:00:00 | ||
Functions in Tableau | 00:00:00 | ||
Sorting in Tableau | 00:00:00 | ||
Filters in Tableau | 00:00:00 | ||
Filters in Tableau Continues | 00:00:00 | ||
More on Filters in Tableau | 00:00:00 | ||
Bar Chart in Tableau | 00:00:00 | ||
Pie Chart in in Tableau | 00:00:00 | ||
Crosstab Chart | 00:00:00 | ||
Scatter Plot Chart | 00:00:00 | ||
Box Plot and Tree Map Chart | 00:00:00 | ||
Gantt Chart and Histogram | 00:00:00 | ||
Dashboard Features in Tableau | 00:00:00 | ||
Forcasting and Formatting in Tableau | 00:00:00 |
11 STUDENTS ENROLLED