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Introduction into Supply Chain Analytics
Rating: 4.0 out of 5(11 ratings)
38 students

Introduction into Supply Chain Analytics

Supply Chain Analytics
Created byJoshua Rose
Last updated 2/2022
English

What you'll learn

  • Use Python for Supply Chain Analytics
  • Use SQL for Supply Chain Analytics
  • User Defined Functions and useful formulas in Excel for Supply Chain Experts
  • Introduction into Tableau and creating KPI's to manage as a Supply Chain Analysis
  • Learn to use Seaborn for statistical plots with Python
  • Use Plotly for interactive dynamic visualizations with Python
  • Learn to use Pandas for Data Analysis with Python
  • Learn to use NumPy for Numerical Data with Python

Course content

5 sections10 lectures54m total length
  • Introduction to the course0:15
  • Course FAQ0:29


    Welcome to the Course

    This is the repository for the course: Introduction into Supply Chain Analytics

    Thank you so much for enrolling in the course!

    Overview of this Repository

    This repository contains everything you need for the course, it has all the notebooks, links

Requirements

  • Some programming experience

Description

The Introduction into Supply Chain Analytics course will help you hone your skills in supply chain analytics to either help you get to the next level in your current role or transition into a role in Supply Chain Analytics. The course is split into 4 parts Key terms and concepts of supply chain, Data Gathering and standardization , Analytics, and presentation. The concepts we will go over will cover the entire supply chain from sourcing raw materials to products ending up at your front door.  We go into depth on how these processes work, how data can increase key KPIs in the space so you can add value to the company. We will talk about how to gather data ,where to gather data, and what are the common ways data is gathered. There are a lot of key places that you would be surprised individuals can find data to add value. then go into the multiple ways data can be analyzed using SQL , EXCEL and Python. Last We will talk about presentation using Excel , Tableau or Python to present graphics to tell a story to senior leadership to get your projects approved.These skills will help you move to the next level in your career so you can make the big bucks and make decisions in your organization. At the end of the Course You will have a CAPSTONE project using real life data using all the concepts you learned in this course to put on your resume/CV to show your competence in the area of Supply Chain Analytics


This course is brought to you by a team of individuals who have worked in the supply chain space for many decades with experience with many goods and services like manufacturing , 3PL, consulting, and regular logistics

Who this course is for:

  • This course is meant for people with at least some programming experience