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	Start Now
Total fee	₹87,219
Mode of learning	Online
Official Website	Go to Website
Credential	Certificate

Data Analytics for E-Commerce
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 E-Commerce
at
FutureLearn
Course details

Skills you will learn

E-commerce development Data analysis

Who should do this course?

This course 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 visualization and storytelling

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

More about this course

The course focuses on leveraging data to optimize and drive success in online retail operations

Participants will explore key analytical techniques and tools used to analyze e-commerce data, including customer behavior, sales trends, and website performance metrics

The course covers areas such as web analytics, A/B testing, customer segmentation, and predictive modeling to enhance decision-making and strategy development

By the end of the course, participants will be adept at using data analytics to drive growth, optimize operations, and achieve competitive advantage in the e-commerce landscape

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

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