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Digital Media Analytics

Introduction

Jessica Welch

Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more This course is for professionals looking to advance their careers and learn more about social media.

Topics Covered

Introduction to social media analytics
Overview of digital analytics
Twitter as a data source for analysis
Introduction to social media analytics research
Data science and social media analytics
Building a social media research program
Extracting meaning from data
Tools to track social media analytics
Organizing and categorizing social media data
Analysing social media data using t-tests and correlations

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Reviews summary

Digital media analytics: foundational concepts

According to learners, "Digital Media Analytics: Introduction" provides a solid foundation in understanding digital and social media data. Many appreciate its clear explanations of core concepts, making it suitable for beginners in the field. The course offers an overview of key tools and methodologies for analyzing online content, including an introduction to data science principles and statistical methods like t-tests. While some learners found it a valuable starting point for career advancement, others noted that its introductory nature meant it lacked deeper practical application or advanced topics. It serves as a strong theoretical base and is particularly relevant for professionals entering or advancing in digital marketing and analytics roles.

Balances conceptual understanding with tool overviews.

"It covers both the 'why' with concepts like t-tests and the 'what' with mentions of tools."

"I appreciated the mix of conceptual understanding and practical examples presented."

"While some topics were theoretical, I found they were well-grounded for practical application later."

Features a clear, logical progression of topics.

"The course modules are very well-organized and easy to follow."

"I found the pacing just right, not too rushed but always moving forward."

"Each topic built logically on the last, which really helped my understanding."

Provides a strong introductory base for analytics.

"This course gave me a very clear understanding of the basics of digital media analytics."

"I feel confident now in understanding foundational concepts of social media data."

"Excellent for anyone just starting out in the world of online data analysis."

Aligns well with professional development needs.

"This course directly applies to my work in marketing and data analysis."

"I gained insights that I can immediately use to advance my career."

"The focus on social media data is highly relevant for today's digital landscape."

A good starting point, but not for advanced learners.

"As an 'introduction,' it's great, but don't expect deep dives into advanced analytics methods."

"I already had some experience, so parts felt a bit basic for me."

"Would love to see a follow-up course for more hands-on, complex projects."

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Career center

Learners who complete Digital Media Analytics: Introduction will develop knowledge and skills that may be useful to these careers:

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Sentiment Analysis in Social Networks

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Provides an overview of social media mining, which subset of social media analytics.

Digital Media Analytics

Introduction

Topics Covered

Topics Covered

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Reviews summary

Digital media analytics: foundational concepts

Activities

Career center

Reading list

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