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Business Analytics: Analysing Third-Party Logistics Business

  • Analysing Third-Party Logistics Business By using a Naive Bayes Theorem and Predicting target customer ofThird-Party Log
  • Free tutorial
  • Rating: 3.1 out of 53.1 (53 ratings)
  • 1,422 students
  • 1hr 3min of on-demand video
  • Created by Sivaranjan MurugesanTamil Vanan
  • English

What you’ll learn

  • Learn basics of Third-Party Logistics(3PL)
  • Learn about statistics and how it used for business
  • Learn about hypothesis and type1 & type 2 error
  • Learn about 3PL analysis method
  • Learn how to predict a target customer of 3PL by basic of above learnings using real time 3PL survey data collected by our research team.
  • Learn about parametric test and how to use it in R studio
  • Learn Bayes theorem and how to formulate this theorem for 3PL
  • At the end of the course,Student can able to analyse any business startup and provide a suggestion for the businessmen by starting analytics company or working in analysis department.


  • No prior experience is required. We will start From very basics


In this you will learn the basics of Third-Party Logistics Business and basics of Third-Party Logistics Business Statistics and by learning this basics you going analyse Third-Party Logistics Business by using Naive Bayes theorem and At the end of the course you have eligibility to analyse Third-Party Logistics Business and you can provide solution for Third-Party Logistics Businessmen and in the basics of Third-Party Logistics Business, you will learn Third-Party Logistics Business and it’s process and also in statistics, you will learn basics of statistics and also you will learn about hypothesis, Null hypothesis, alternate hypothesis, type1 error, type2 error and you will learn naive Bayes theorem and also u learn how to formulate naive Bayes for Third-Party Logistics Business for identifying target customer. This analysis done on the real time survey data which is gets from by teams and with this real data you going analyse. So, this will help you understand the Third party logistics clearly and also the naΓ―ve bayes formulation will help you to formulate the any data useful for prediction and this naΓ―ve bayes used for predicting target customer by this analysis , you know how to analyse and find the real time business opportunity and this can be done by the basics of statistics only. So that I covered the statistics basics also. So, By this I am saying that this course is very useful.

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Who this course is for:

  • Beginner Business analyst
  • 3PL Business startup person
  • Interest of Business analytics student
  • Anybody who want learn something different

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Course content

5 sections β€’ 10 lectures β€’ 1h 3m total lengthCollapse all sections

course overview2 lectures β€’ 6min

  • course Introduction01:41
  • Why Business Analytics for 3PL04:02

Introduction to Third-Party Logistics(3PL)1 lecture β€’ 11min

  • What is 3PL and it’s process?10:50

what is statistics?5 lectures β€’ 27min

  • What is Statistics?05:01
  • Statistics Quiz1 question
  • What is Hypothesis?06:36
  • Hypothesis quiz1 question
  • What is null and alternate hypothesis?05:08
  • Quiz1 question
  • What is Type 1 and Type 2 error?06:26
  • ERROR QUIZ1 question
  • How Business related with Statistics?03:50

Introduction to Naive Bayes theorem1 lecture β€’ 9min

  • what is Naive Bayes theorem?08:35

Project by using Real Time survey data1 lecture β€’ 11min

  • Analysis of 3PL using Naive Bayes theorem11:13

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