RA: Data Science and Supply chain analytics.(A-Z with R)

RA: Data Science and Supply chain analytics.(A-Z with R)

What you’ll learn

  • A-Z Guide to Mastering R for Data Science.
  • Work as A demand Planner.
  • Become a data driven supply chain manager.
  • Become a data driven sourcing manager.
  • Set stock policies and safety stocks for all of your Business products.
  • Increase profit of your business with pricing optimizations.
  • Offer product recommendations for your customers.
  • Segment Customers, Products and suppliers to maximize service levels and reduce costs.
  • Learn simulations to make informed supply chain decisions.
  • Forecast and analyze all of your products at once.
  • Move Beyond Excel, analyze and make decisions at scale!!
  • Move to Consultancy with your new acquired skills in this course.
  • Become a supply chain data scientist.
  • Learn the Power of Data Science in Supply Chain.
  • Learn Supply chain techniques you will only find in this course. Guaranteed!

How to Enroll RA: Data Science and Supply chain analytics.(A-Z with R) course?

  • To Access "RA: Data Science and Supply chain analytics.(A-Z with R)" Click on Enroll Now button at end of the post. It will redirect you to Udemy Course Page and then you can start the enrollment process.
  • If you're New to Udemy? Sign up with your email and create a password. for Existing users, log in with your credentials to access course.
  • How many members can access this course with a coupon?

    RA: Data Science and Supply chain analytics.(A-Z with R) Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!

    External links may contain affiliate links, meaning we get a commission if you decide to make a purchase
    Deal Score+1

    Learn Data Science. Courses starting at $12.99

    New customer offer! Top courses from $14.99 when you first visit Udemy

    eLearn
    Compare items
    • Total (0)
    Compare
    0