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Retail Analytics and Business Management Course Description
Learn the Latest Skills | Accredited by CPD UK and IPHM | Recognised Certificate | MCQ Based Exam & Tutor Support | Interactive Video Training | Lifetime Access
This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries.
This comprehensive course will give you a broad knowledge of forecasting using regression models, steps to handle special events like holiday sales, and the process to identify seasonality and forecasting trends. This online course will educate you on market basket analysis, RFM ( recency, frequency, monetary) analysis, pricing, and demand estimation. This online course will help you evaluate pricing strategies, understand lifetime customer value, variations, and sensitivity analysis.
By the end of the course, you will have a clear understanding of retail analytics and business management and be adept in using forecasting, market basket analysis, and pricing. This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website.
Learning Outcomes:
By the end of the course, you will:
- Understand sensitivity analysis in Excel
- Know variations in finding customer value
- Understand Lifetime customer value – fundamental concepts and excel model
- Learn how to evaluate pricing strategies such as price bundling, types of bundling, and the bundling problem
- Understand demand estimationÂ
- Know different pricing objectives
- Understand RFM ( recency, frequency, monetary) analysis
- Learn how to identify seasonality and trend for forecasting
- Understand forecasting using the regression model
- Learn descriptive data analytics in Excel
Accredited by CPD UK and IPHM
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Accredited by The CPD Certification Service              International Practitioners of Holistic Medicine (IPHM)
How Will I Benefit?
- Boost your career in retail analytics and management
- Deepen your knowledge and skills in your chosen field just in hours not years!
- Study a course that is easy to follow.
- Save money and time by studying at your convenient time
- Have access to a tutor whenever you are in need
So, what are you thinking about! Start getting the benefits by enrolling today!
Why Choose this Retail Analytics and Business Management Course:
- Accredited by The CPD UK
- Accredited by International Practitioners of Holistic Medicine (IPHM)
- Lifetime Access
- High-quality e-learning study materialsÂ
- Learn the most in-demand skills
- Self-paced, no fixed schedules
- MCQ Exam and 24/7 Support Included
- Available to students anywhere in the world
- No hidden fee
- Study in a user-friendly, advanced online learning platform
Who is this retail analytics and business management course for?
This extensive course is beneficial for those keen to master the nuances of retail analytics and business management and understand various forecasting models and pricing strategies. It is suitable for those who want to pursue their career in retail analytics and business management.
Entry Requirement
- There are no academic entry requirements for this Retail Analytics and Business Management course, and it is open to students of all academic backgrounds.Â
- As long as you are aged seventeen or over and have a basic grasp of English, numeracy and ICT, you will be eligible to enrol.
Method of Assessment
After completing the course, you will be required to sit an online multiple-choice assessment. The assessment will be evaluated automatically and the results will be given to you immediately. Before sitting your final assessment you’ll have the opportunity to test your efficiency with a mock assessment.
Certificate of Achievement
Endorsed Certificate from Quality Licence Scheme
After successfully passing the MCQ exam you will be eligible to obtain the retail analytics and business management Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organization for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65.
Certificate of Achievement from Lead Academy
After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35.
Career path
This Retail Analytics and Business Management course opens a brand new door for you to enter the relevant job market and also provides you with the chance to accumulate in-depth knowledge at the side of needed skills to become flourishing in no time. You will also be able to add your new skills to your CV, enhance your career and become more competitive in your chosen industry.
Course Curriculum
Course Introduction | |||
Introduction | 00:03:00 | ||
Part 1: Forecasting | |||
Basics of Forecasting | 00:05:00 | ||
Creating Linear Model with | 00:08:00 | ||
1.1 Getting Data ready for Regression Model | |||
Gathering Business Knowledge | 00:03:00 | ||
Data Exploration | 00:03:00 | ||
The Data and the Data Dictionary | 00:07:00 | ||
Univariate analysis and EDD | 00:03:00 | ||
Discriptive Data Analytics in Excel | 00:10:00 | ||
Outlier Treatment | 00:04:00 | ||
Identifying and Treating Outliers in Excel | 00:04:00 | ||
Missing Value Imputation | 00:03:00 | ||
Identifying and Treating missing values in Excel | 00:04:00 | ||
Variable Transformation in Excel | 00:03:00 | ||
Dummy variable creation: Handling qualitative data | 00:04:00 | ||
Dummy Variable Creation in Excel | 00:07:00 | ||
Correlation Analysis | 00:09:00 | ||
Creating Correlation Matrix in Excel | 00:08:00 | ||
1.2 Forecasting using Regression Model | |||
The Problem Statement | 00:01:00 | ||
Basic Equations and Ordinary Least Squares (OLS) method | 00:08:00 | ||
Assessing accuracy of predicted coefficients | 00:14:00 | ||
Assessing Model Accuracy: RSE and R squared | 00:07:00 | ||
Creating Simple Linear Regression model | 00:02:00 | ||
Multiple Linear Regression | 00:05:00 | ||
The F – statistic | 00:08:00 | ||
Interpreting results of Categorical variables | 00:05:00 | ||
Creating Multiple Linear Regression model | 00:07:00 | ||
1.3 Handling Special events like Holiday sales | |||
Forecasting in presence of special events | 00:02:00 | ||
Excel: Running Linear Regression using Solver | 00:08:00 | ||
Excel: Including the impact of Special Events | 00:22:00 | ||
1.4 Identifying Seasonality & Trend for Forecasting | |||
Models to identify Trend & Seasonality | 00:06:00 | ||
Excel: Additive model to identify Trend & Seasonality | 00:09:00 | ||
Excel: Multiplicative model to identify Trend & Seasonality | 00:06:00 | ||
Market Basket Analysis | |||
Market Basket and Lift – Introduction | 00:08:00 | ||
Named Ranges – Excel | 00:10:00 | ||
Indirect Function – Excel | 00:05:00 | ||
2-way lift calculation in Excel | 00:11:00 | ||
2-way lift calculation – Dynamic | 00:07:00 | ||
2-way lift data table creation | 00:07:00 | ||
3-way lift calculation | 00:19:00 | ||
Store Layout optimization using Lift values | 00:15:00 | ||
RFM (recency, frequency, monetary) Analysis | |||
RFM (recency, frequency, monetary) Analysis | 00:08:00 | ||
RFM Analysis in Excel- Part 1 | 00:16:00 | ||
RFM Analysis in Excel- Part 2 | 00:12:00 | ||
Part 2: Pricing | |||
Steps of setting a Pricing policy | 00:03:00 | ||
Different Pricing Objectives | 00:07:00 | ||
2.1 Estimating Demand | |||
Estimating Demand | 00:07:00 | ||
Forms of Demand Curve | 00:02:00 | ||
Excel: Estimating Linear Demand Curve | 00:08:00 | ||
Excel: Estimating Power Demand curve with Elasticity | 00:05:00 | ||
Excel: Estimating Power Demand Curve with points | 00:03:00 | ||
Subjective Demand curve | 00:01:00 | ||
Excel: Estimating Subjective Demand Curve | 00:02:00 | ||
2.3 Evaluating Pricing Strategies | |||
Price Bundling | 00:07:00 | ||
Types of Bundling | 00:08:00 | ||
The Bundling Problem | 00:04:00 | ||
Excel: Solving Bundling problem Part 1 | 00:14:00 | ||
Excel: Solving Bundling problem Part 2 | 00:08:00 | ||
Excel: Solving Bundling problem (Price Reversal) | 00:08:00 | ||
Non-Linear Pricing Strategies | 00:03:00 | ||
3.1 Lifetime Customer Value | |||
Lifetime Customer Value – Key concepts | 00:09:00 | ||
Lifetime Customer Value – Excel model | 00:11:00 | ||
3.2 Variations and Sensitivity Analysis | |||
Sensitivity Analysis in Excel | 00:07:00 | ||
Variations in finding customer value | 00:07:00 | ||
Appendix 1: Excel crash course | |||
Basics | 00:08:00 | ||
Worksheet Basics | 00:16:00 | ||
Entering values and Formulas | 00:07:00 | ||
Data Formats | 00:08:00 | ||
Data Handling Basics – Cut, Copy and Paste | 00:14:00 | ||
Saving and Printing – Basics | 00:09:00 | ||
Basic Formula Operations | 00:13:00 | ||
Mathematical Formulas | 00:19:00 | ||
Textual Formulas | 00:17:00 | ||
Logical Formulas | 00:11:00 | ||
Date-Time Formulas | 00:07:00 | ||
Lookup Formulas ( V Lookup, Hlookup, Index-Match ) | 00:08:00 | ||
Data Tools | 00:19:00 | ||
Formatting data and tables | 00:18:00 | ||
Pivot Tables | 00:08:00 | ||
Advance Excel- Solver, Data tables | 00:15:00 | ||
Assessment | |||
Assessment – Retail Analytics and Business Management | 00:10:00 | ||
Order Your Certificate Now | |||
Order Your Certificate of Achievement | 00:00:00 | ||
Get Your Insurance Now | |||
Get Your Insurance Now | 00:00:00 | ||
Feedback | |||
Feedback | 00:00:00 |
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