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
- Retail Management
- Category Management
- Market Basket Analysis
- SKU Optimization
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.
Retail Analytics Table of Contents
https://www.vskills.in/certification/retail-analytics-table-of-contents
Retail Analytics Practice Test
https://www.vskills.in/practice/retail-analytics-questions
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.
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TABLE OF CONTENT
Analytics Introduction
- Evolution and Scope
- Data Management and Types
- Decision Models
- Problem Solving and Decision Making
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
Retail Management
- Functions Performed by a Retailer
- Retail Management Basics
- Retail Strategy
- Retail Mix
Retail Business Operations
- Store Designing
- Product Display
- Store Space Planning
- Store Floor planning
- Fixture Management
- Shelf Space Planning
- Profitability Analysis
- Productivity Analysis
Supply Chain Planning & Management
- Demand Analysis, Aggregation & Forecasting
- Placing of the Purchase Order
- Shipping & Transportation Planning
- Warehouse Management
- Distribution Planning
- Inventory Management
- Replenishment
- Supply Chain Benefits
Category Management
- Merchandise Planning
- Assortment Planning
- Assortment Control
- Product Introduction & Development
- Promotions
- Price Management
- Cost Management
Advanced Retail Analytics
- Customer Segmentation
- Conversion Modeling
- Markdown Modeling
- Price Optimization
- Promotion Optimization
- Consumers Behavior Analysis
- Market Basket Analysis
- SKU Optimization
- Consumer Decision Tree
- Demand Transference
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