Business Analytics: Analysing Third-Party Logistics Business

Business Analytics: Analysing Third-Party Logistics Business, available at Free, has an average rating of 3.9, with 10 lectures, 4 quizzes, based on 65 reviews, and has 1862 subscribers.

You will learn about 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. This course is ideal for individuals who are Beginner Business analyst or 3PL Business startup person or Interest of Business analytics student or Anybody who want learn something different It is particularly useful for Beginner Business analyst or 3PL Business startup person or Interest of Business analytics student or Anybody who want learn something different.

Enroll now: Business Analytics: Analysing Third-Party Logistics Business

Summary

Title: Business Analytics: Analysing Third-Party Logistics Business

Price: Free

Average Rating: 3.9

Number of Lectures: 10

Number of Quizzes: 4

Number of Published Lectures: 10

Number of Published Quizzes: 4

Number of Curriculum Items: 14

Number of Published Curriculum Objects: 14

Original Price: Free

Quality Status: approved

Status: Live

What You Will 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.

Who Should Attend

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

Target Audiences

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

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 naïve bayes formulation will help you to formulate the any data useful for prediction and this naïve 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.

Course Curriculum

Chapter 1: course overview

Lecture 1: course Introduction

Lecture 2: Why Business Analytics for 3PL

Chapter 2: Introduction to Third-Party Logistics(3PL)

Lecture 1: What is 3PL and it's process?

Chapter 3: what is statistics?

Lecture 1: What is Statistics?

Lecture 2: What is Hypothesis?

Lecture 3: What is null and alternate hypothesis?

Lecture 4: What is Type 1 and Type 2 error?

Lecture 5: How Business related with Statistics?

Chapter 4: Introduction to Naive Bayes theorem

Lecture 1: what is Naive Bayes theorem?

Chapter 5: Project by using Real Time survey data

Lecture 1: Analysis of 3PL using Naive Bayes theorem

Instructors

Sivaranjan Murugesan
Data Scientist
Tamil Vanan
Operations analyst

Rating Distribution

1 stars: 9 votes
2 stars: 8 votes
3 stars: 16 votes
4 stars: 9 votes
5 stars: 23 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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