Part 1: Learn Python,Forecast Retail Sales with deep learning, Master product placement and Promotional Pricing.
What you'll learn
- Python
- Retail Management
- Deep learning
- Pricing
- Forecasting
- Pandas
- Retail analytics
- Motivation to Learn. That's all.
Master Retail analytics with Excel and 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. one Keyway to excel in retail management is utilizing the data that is produced every day. It is estimated that We produce an overwhelming amount of data every day, roughly 2.5 quintillion bytes. According to an IBM study, 90% of the world’s data has been created in the last two years.
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, I have split the course into three parts. in this first Module, we will get you up and running with :
1- Understanding the retail environment.
2- Manipulation of Data with Pandas.
2-Working with Python for analytics.
3- Developing Forecasts with Excel.
4- Adjusting Product Prices to maximize revenue.
5- Forecasting In python with ANN and RNN.
6- Product placement strategies inside the stores.
Don't worry If you don't know how to code, we learn step by step by applying supply chain analysis!
*NOTE: Full course includes downloadable resources and Python project files, homework and course quizzes, lifetime access, and a 30-day money-back guarantee.
Who this course is for:
· If you are an absolute beginner at coding, then take this course.
· If you work in Retail and want to make data-driven decisions, this course will equip you with what you need.
· If you are switching from Excel to a data science language. then this course will fast track your goal.
· If you are tired of doing the same analysis again and again on spreadsheets and want to find ways to automate it, this course is for you.
Course Design
the course is designed as experiential learning Modules, the first couple of modules are for retail fundamentals followed by Python programming fundamentals, this is to level all of the takers of this course to the same pace. and the third part is retail applications using Data science which is using the knowledge of the first two modules to apply. while the course delivery method will be a mix of me explaining the concepts on a whiteboard, Presentations, and Python-coding sessions where you do the coding with me step by step. there will be assessments in most of the sections to strengthen your newly acquired skills. all the practice and assessments are real retail use cases.
Who this course is for:
- retail managers
- Retail analyst
- Data analyst
- Demand Planners
