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Deakin University - Data Analytics for E-Commerce 

  • Offered byFutureLearn

Data Analytics for E-Commerce
 at 
FutureLearn 
Overview

Delve into data science and data analysis to drive the performance of your e-commerce platform or organisation

Duration

6 weeks

Start from

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Total fee

87,219

Mode of learning

Online

Official Website

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Credential

Certificate

Data Analytics for E-Commerce
Table of content
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  • Overview
  • Highlights
  • Course Details
  • Curriculum
  • Faculty
  • + 2 more items

Data Analytics for E-Commerce
 at 
FutureLearn 
Highlights

  • Earn a certificate after completion of the course
  • Complete project-based assessments
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Data Analytics for E-Commerce
 at 
FutureLearn 
Course details

Who should do this course?

This microcredential is designed for anyone working in or hoping to apply for data-related roles in e-commerce

What are the course deliverables?

Apply fundamental data analytics techniques for exploratory 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

More about this course

In this course 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

You’ll gain the skills you need to clean, prepare, and analyse data, while also exploring the context and ethics of data analysis

Data Analytics for E-Commerce
 at 
FutureLearn 
Curriculum

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

Faculty Icon

Data Analytics for E-Commerce
 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 E-Commerce
 at 
FutureLearn 
Entry Requirements

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

Data Analytics for E-Commerce
 at 
FutureLearn 
Admission Process

    Important Dates

    May 9, 2025
    Course Commencement Date

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