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
Credential	Certificate

Data Analytics for Supply Chain Logistics
at
FutureLearn
Highlights

Earn a certificate after completion of course from Deakin University
Learn online with expert instructors
Complete project-based assessments

Data Analytics for Supply Chain Logistics
at
FutureLearn
Course details

Skills you will learn

Logistics Management Data analysis Supply chain management

Who should do this course?

The course is designed to provide an awareness of data analytics to 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

This course provides professionals with the analytical skills and tools needed to optimize supply chain operations and logistics management

The course covers the application of data analytics in various aspects of the supply chain, including demand forecasting, inventory management, transportation optimization, and supplier performance evaluation

Participants will learn how to leverage big data, predictive analytics and machine learning to make informed decisions that enhance efficiency, reduce costs, and improve service levels

The course also addresses real-world challenges such as managing supply chain risks, responding to market fluctuations, and improving sustainability

Data Analytics for Supply Chain Logistics
at
FutureLearn
Curriculum

Apply fundamental data analytics techniques for exploratory and explanatory data analytics using spreadsheet and database tools

Perform explanatory data analysis by preparing data, interpreting findings, and deriving insights to support data-driven decision-making

Create actionable data-driven insights through visualisation and storytelling

Evaluate organisational context and objectives, ethical and social considerations when applying data analysis

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