Statistics Simplified – Statistics Made Easy by Excel Simulations. Master fundamentals of statistics & Probability.

We have given a detailed review of this course below for our readers but just wanted to highlight some points:

  • 1,580+ students enrolled
  • 201 Review available
  • 10.5 Hours on-demand videos
  • 1 Articles
  • 14 Supplemental Resource
  • Access on Mobile and TV
  • Assignments
  • Certificate of Completion
  • Lifetime Access
  • 30 days Money back guarantee

Most attractive feature is 30 days Money Back Guarantee means there is no risk. If you didn’t like this  online course, you can refund your money back within next 30 days.

 

What You will Learn?

  • By the end of this course, you should become very comfortable with popular concepts of statistics
  • You should know the genesis of popular statistical concepts
  • You should know how you apply it in business problem
  • You should have the required course material for referral

Looking to sharpen your data science skills? Our recommended Data Science Courses with a Statistical Focus offer invaluable insights into statistical analysis techniques.

Online Course Description:

This course promises that students will

  • Learn the statistics in a simple and interesting way
  • Know the business scenarios, where it is applied
  • See the demonstration of important concepts (simulations) in MS Excel
  • Practice it in MS Excel to cement the learning
  • Get confidence to answer questions on statistics
  • Be ready to do more advance course like logistic regression etc.

Course Material

  • The course comprises of primarily video lectures.
  • All Excel file used in the course are available for download.
  • The complete content of the course is available to download in PDF format.

How long the course should take?

It should take approximately 25 hours for good grasp on the subject.

Why take the course

  • To understand statistics with ease
  • Get crystal clear understanding of applicability
  • Understand the subject with the context
  • See the simulation before learning the theory

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