FutureLearn
FutureLearn Logo

Deakin University - Data Analytics for Supply Chain Logistics 

  • Offered byFutureLearn

Data Analytics for Supply Chain Logistics
 at 
FutureLearn 
Overview

Learn how to source, analyse, and communicate data to generate business insights and drive performance in supply chain logistics

Duration

6 weeks

Start from

Start Now

Total fee

86,884

Mode of learning

Online

Official Website

Go to Website External Link Icon

Credential

Certificate

Data Analytics for Supply Chain Logistics
Table of content
Accordion Icon V3
  • Overview
  • Highlights
  • Course Details
  • Curriculum
  • Faculty
  • + 2 more items

Data Analytics for Supply Chain Logistics
 at 
FutureLearn 
Highlights

  • Earn a certificate after completion of the course
  • Complete project-based assessments
Details Icon

Data Analytics for Supply Chain Logistics
 at 
FutureLearn 
Course details

Who should do this course?

For managers and offer a learning pathway for individuals seeking data analytics-related roles in the supply chain logistic sector

What are the course deliverables?

Understand the types of data used

Know how to interrogate or ask questions of data for insight

Awareness of capability and functionality of key visualisation tools

Understand business process and analysis

Use tools for data analysis (Excel)

Use tools for data visualisation (Tableau)

Undertake project management

Undertake data-driven decision-making

Apply ethics of data

More about this course

In this microcredential from Deakin University, you’ll gain a comprehensive introduction to data analytics and a toolkit of techniques for preparing, decoding, and visualising data With this knowledge, you’ll be able to identify useful and actionable insights to drive your decision-making

 

Data Analytics for Supply Chain Logistics
 at 
FutureLearn 
Curriculum

Data Analytics for Supply Chain Logistics

Learn how to source, analyse, and communicate data to generate business insights and drive performance in supply chain logistics

Faculty Icon

Data Analytics for Supply Chain Logistics
 at 
FutureLearn 
Faculty details

Dan To
Data analytics professional with more than 10 years of experience in Financial Services & Consumer Tech. Specialises in embedding analytics products within business processes to drive commercial value

Data Analytics for Supply Chain Logistics
 at 
FutureLearn 
Entry Requirements

GraduationUp Arrow Icon
  • No specific cutoff mentioned
Conditional OfferUp Arrow Icon
  • Not mentioned

Data Analytics for Supply Chain Logistics
 at 
FutureLearn 
Admission Process

    Important Dates

    May 8, 2025
    Course Commencement Date

    Other courses offered by FutureLearn

    1.39 L
    15 weeks
    – / –
    1.81 K
    2 weeks
    – / –
    1.46 L
    15 weeks
    – / –
    View Other 1956 CoursesRight Arrow Icon
    qna

    Data Analytics for Supply Chain Logistics
     at 
    FutureLearn 

    Student Forum

    chatAnything you would want to ask experts?
    Write here...