Recognised Accreditation
This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement.
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.
What is CPD?
Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements.
Benefits of CPD
Improve your employment prospects
Boost your job satisfaction
Promotes career advancement
Enhances your CV
Provides you with a competitive edge in the job market
Demonstrate your dedication
Showcases your professional capabilities
What is IPHM?
The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill.
Benefits of IPHM
It will help you establish a positive reputation in your chosen field
You can join a network and community of successful therapists that are dedicated to providing excellent care to their client
You can flaunt this accreditation in your CV
It is a worldwide recognised accreditation
What is Quality Licence Scheme?
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.
Benefits of Quality License Scheme
Certificate is valuable
Provides a competitive edge in your career
It will make your CV stand out
Course Curriculum
Course Introduction
Introduction 00:03:00
Part 1: Forecasting
Basics of Forecasting 00:05:00
Creating Linear Model with Trendlines 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
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
Non-Linear Pricing Strategies 00:03:00
Excel: Solving Bundling problem (Price Reversal) 00:08:00
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 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 In Microsoft Excel Diploma 00:10:00
Obtain Your Certificate
Order Your Certificate of Achievement 00:00:00
Get Your Insurance Now
Get Your Insurance Now 00:00:00
Feedback
Feedback 00:00:00