RA: Retail Management, Analytics with Excel & Python
4.0 /5- Offered byUDEMY
RA: Retail Management, Analytics with Excel & Python at UDEMY Overview
Duration | 19 hours |
Total fee | ₹380 |
Mode of learning | Online |
Credential | Certificate |
RA: Retail Management, Analytics with Excel & Python at UDEMY Highlights
- Earn a Certificate of completion from Udemy
- Get a 30 days money back guarantee on the course
- Get full lifetime access of the course material
- Learn from 53 downloadable resource
RA: Retail Management, Analytics with Excel & Python at UDEMY Course details
- For Retail managers
- Retail analyst
- Data analyst
- Demand Planners
- Retail Management
- Deep learning
- Pricing
- Forecasting
- Pandas
- Retail analytics
- Visual Merchandising
- Learn Python
- Retailers face fierce competition every day and keeping up with the new trends and customer preferences is a guarantee for excellence in the modern retail environment
- It is estimated that We produce an overwhelming amount of data every day, roughly 2.5 quintillion bytes
- Retail analytics is the field of studying the produced retail data and making insightful data-driven decisions from it. as this is a wide field
- The Program is designed as experiential learning Modules, the first couple of modules are for retail fundamentals followed by Python programming fundamentals
RA: Retail Management, Analytics with Excel & Python at UDEMY Curriculum
Retail Fundamentals
Curriculum Layout
What are retailers?
Introduction
Types of retail
Taking part of the value chain
Verticals
Food and near food retailers
Comparison between food and near food retailers
General Merchandize retailers
Amazon Vs Barnes and noble
Will online replace physical retail ?
Multi-channel environment
Verticals types
Retail Management
Merchandise mix
SKU types
Breadth vs Width
Deep Vs Shallow assortment
Retailer Brand
Category Role
Category strategy
Pricing
Pricing
Cost based pricing
Value based pricing
Visual Merchandizing
Demand based pricing
Importance of Pricing
Intro
Linear Regrression
Price Response function
Logistic Regression
Logistic Price Response function
Linear Price Function Estimation
Correction
Logit Price function
Simulating the price.
Elasticity intro
ELASTICITY
Elasticity fo logit and linear
Assignment
Answer
Response function variants- Polynomial
Some examples of elasticity
Willingness to pay
Point of Maximum profit
Summary
Markdowns
Intro
Markdowns
Why we do Markdowns?
Customer segments to markdowns
Problem formulations.
Markdown for multiple periods
setting up solver
Salvage value
Markdowns with forecasting
Sensitivity analysis
Markdowns for one period
Assignment
Intro to python
Python
Downloading Anacoonda
Installing Anacoonda
Spyder overview
Jupiter Notebook overview
Python Libraries
Inventorize Package
Python crash course
Intro
Dataframes
Arithmetic calculations with python
Lists
Dictionaries
Arrays
Importing data in python
Subsetting dataframes
Conditions
Writing functions
Mapping
for loops
for looping a function
Mapping on a dataframe
for looping on a dataframe
Summary
Assignment
Assignment answer1
Assignment answer2
Retail manipulation and data cleaning
Manipulation Inro
Dropping Duplicates and NAs
Conversions Lecture
Conversions
Filterations
Imputations
Indexing tutorial
Slicing index
Manipulation Lecture
Groupby
slicing groupby
Dropping levels
The proper form
Pivot tables
Aggregate functions on pivot table
Melting Data
Left Join
Inner and outer join
Joining in python
Inner, left join and full join (outer)
Summary
Dates and measuring frequency of buy for customers
Dates intro
Datetime
Last purchase date and recency
Recency Histogram
Modeling inter-arrival time
Modeling inter-arrival time 2
Modeling inter-arrival time 3
Resampling
Rolling time series
Rolling time series 2
Summary
Assignment
Assignment answer
Product placement inside the store
Pareto Law
ABC Demo in excel
Intro
retail strategies for product placement
Exploring the apparel retailer dataset
Checking the sales per section
Revenue Column
Apparel Profit
Volume drivers
Items_grouped
Inventorize
Capturing Volume drivers
Strategizing the Categories
Assignment Product placment
Product placement conclusion
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