Analytics involves data collection, processing, analysis and interpretation for better decision making and gain insights. Increased competition has put more focus on optimizing business processes and make informed business decisions. Analytics provide informed insights for effective decision making by data collation processing and analysis. Retail analytics is the upcoming technology which helps in increased retail sales and better inventory management.

The course covers

Basics of Analytics and statistics
Using MS-Excel for analytics
Pricing Analytics
Retail Operations Analytics
Clustering Techniques
Customer Analytics

Why should I take Retail Analytics Certification?

This course is intended for retail professionals, managers, consultants and graduates wanting to excel in retail analytics. It is also well suited for those who are already working and would like to take certification for further career progression. Earning Vskills Certified Retail Analytics Professional Certification can help candidate differentiate in today's competitive job market, broaden their employment opportunities by displaying their advanced skills, and result in higher earning potential.

How will benefit from taking this Certification?

Job seekers looking to find employment in retail, stores, inventory, retail management departments of various retail companies, students generally wanting to improve their skill set and make their CV stronger and existing employees looking for a better role can prove their employers the value of their skills through this certification.

Companies that hire Retail Analytics Professional

Retail Analytics Professionals are in great demand. Companies specializing in retail consultancy, analytics, and management, are constantly hiring skilled Vskills Certified Retail Analytics Professional. Various public and private companies also need Retail Analytics Professional for optimizing their retail operations.

Apply for Retail Analytics Certification

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TABLE OF CONTENT

Introduction to Retail Analytics

Overview of the Retail Industry
An Overview of Role of Analytics
Overview of Retail Data Sources
Data Collection and Preparation Techniques
Retail Analytics Applications
Retail Analytics Tools

Retail Data Collection and Preparation

Retail Data Sources
Data Collection Methods
Data Cleaning
Data Warehousing
Data Visualization
Data Security
Data Governance
Retail Data Preparation Case Studies

Using Spreadsheets for Analytics

Excel Formulas
Excel Functions
Spreadsheet Add-Ins
What is Spreadsheet Modeling

Visualizing Data in Spreadsheets

Excel Data Visualization Tools
Data Queries in Excel
Data Summarization in Excel
PivotTables and Pivot Charts

Descriptive Statistical Measures

Statistical Notation
Measures of Location
Measures of Dispersion
Measures of Shape
Measures of Association
Frequency Distributions
Excel Descriptive Statistics Tool

Probability Distributions

Probability Basics
Discrete Probability Distributions
Continuous Probability Distributions
Distribution Fitting

Sampling and Hypothesis

Statistics Basics
Data Basics
Measurement Systems
Some Basic Terms
Types of Sample Designs
Bases of stratification
Characteristics of a Good Sample Design
Determining the Sample Size

Data Processing and Analysis

Data Preparation
Data Validation
Data Editing
Coding
Tabulation
Data-Processing Methods

Introduction to Data Analytics

Origin of Data in Retail Analytics
Processes in Retail and Supply Chain Analytics
Analytical methods used in Retail Analytics
Use of Data Analytics and Decision-Making Models
Advanced Analytics in Retail
Overview of IoT (Internet of Things) and its application in Retail
Understanding Contemporary Analytics

Clustering Techniques in Retail Analytics

Introduction to Clustering
Types of Clustering Algorithms
K-means Clustering
Hierarchical Clustering
Density-based Clustering
Model-Based Clustering
Clustering Evaluation Metrics
Applications of Clustering in Retail Analytics
Limitations and Challenges of Clustering Techniques

Customer Analytics

Introduction to Customer Analytics
Customer Data Collection and Management
Customer Segmentation
Customer Profiling
Customer Lifetime Value
Customer Churn Analysis
Customer Behavior Analysis
Customer Feedback Analysis
Customer Journey Mapping
Applications of Customer Analytics

Introduction to Pricing Analytics

Price Elasticity of Demand
Competitor Pricing Analysis
Customer Segmentation
Price Optimization
Price Perception
Price Psychology
Price Discrimination
Price Bundling
Promotional Pricing
Value-Based Pricing

Introduction to Marketing Analytics

Marketing Mix Modeling (MMM)
Customer Acquisition Cost (CAC)
Customer Retention and Churn
Marketing Attribution
A/B Testing
Predictive Analytics
Web Analytics
Social Media Analytics

Introduction to Retail Operations Analytics

Process of Inventory Management
Supply Chain Analytics
Store Operations
Price Optimization
Customer Demand Forecasting
Sales and Promotion Analysis
Labor Optimization
Loss Prevention
Customer Analytics
Retail Performance Metrics

Understanding Retail Technology

Point of Sale (POS) Systems
E-commerce Platforms
Customer Relationship Management (CRM) Systems
Inventory Management Systems
Supply Chain Management Systems
Mobile Technology
Data Analytics
Artificial Intelligence (AI) and Machine Learning (ML)
Explain Process of Automation
Augmented Reality (AR) and Virtual Reality (VR)

Certified Retail Analytics Professional

How It Works

Test Details

Benefits of Certification

Why should I take Retail Analytics Certification?

How will benefit from taking this Certification?

Retail Analytics Table of Contents

Retail Analytics Practice Test

Retail Analytics Practice Test

Companies that hire Retail Analytics Professional

Apply for Retail Analytics Certification

TABLE OF CONTENT

Introduction to Retail Analytics

Retail Data Collection and Preparation

Using Spreadsheets for Analytics

Visualizing Data in Spreadsheets

Descriptive Statistical Measures

Probability Distributions

Sampling and Hypothesis

Data Processing and Analysis

Introduction to Data Analytics

Clustering Techniques in Retail Analytics

Customer Analytics

Introduction to Pricing Analytics

Introduction to Marketing Analytics

Introduction to Retail Operations Analytics

Understanding Retail Technology