Skip to 0 minutes and 12 secondsAre you using Facebook and Twitter? How about a Fitbit? Do you know how much data you're sharing on the web through social media platforms, your mobile phone, and other devices? In this course, we'll look at how you and everyone else contributes to so-called big data. We'll examine what's behind the term big data, where all the data is coming from, and how it can be analysed. It turns out that even though there is lots of data floating around now, analysing it comes with quite a few challenges. We'll look at these challenges and the different steps involved in the data analytics cycle. To close Week 1, we'll look at social media data, which you'll find contributes a large amount to big data.
Skip to 0 minutes and 52 secondsIn Week 2, we discover some interesting applications of big data analytics across a variety of industries. For example, we'll see how it is used by businesses to improve the products and services for customers and by health providers to interact with their patients. Finally, we'll look at the recent launch of the General Data Protection Regulation in Europe and how it has affected people all around the world. So let's get started.
Welcome to the course
This course will help you to gain insight into the fast-growing field of big data analytics.
This week, we’ll begin our journey together with an introduction to big data - where big data comes from and the challenges it presents. We’ll also look at the data analytics cycle, with a focus on data visualisation and interpretation. Finally, we’ll investigate big data in relation to social media.
In Week 2, join us again, as we discuss the opportunities, challenges and the future of applying big data analytics across a variety of industries.
Meet the team
Your lead educator, Dr Sebastian Binnewies
Join educator, Sebastian - a researcher and teacher from Griffith University - as you learn more about applied big data analytics.
I am a faculty member in the School of Information and Communication Technology at Griffith University. I joined Griffith after completing my PhD in the area of Artificial Intelligence. My research interests include data mining, learning analytics, and knowledge representation. I am passionate about online teaching and aim to provide you with a great learning experience in this course.
The team behind the course
Staff from across Griffith University and the wider community have been involved in developing this course. Here are some of those who were involved.
- Centre for Coastal Management:
- Dr Serena Lee
- Dan Ware
- Department of Tourism, Sport and Hotel Management:
- Associate Professor Kevin Filo
- Dr Charmaine Fleming
- Office of the PVC (Business):
- Danielle Logan
- Heather Reid, Former Capital Football CEO
- Department of Marketing:
- Dr Timo Dietrich
- School of Information and Communication Technology:
- Dr Henry Nguyen
Get extra benefits, upgrade your course
You can now get extra benefits by upgrading this course, including:
- unlimited access to the course: go at your own pace with unlimited access to the course for as long as it exists on FutureLearn
- a Certificate of Achievement: to help you demonstrate your learning we’ll send you a Certificate of Achievement when you become eligible.
Achieving your digital certificate
The digital Certificate of Achievement for this course would be a valuable addition to your professional portfolio.
To achieve the certificate:
- upgrade your course
- mark at least 90% of steps as complete
- attempt every question in the short test at the end of the course
- score 70% on the test (you have up to three attempts with one point lost for each incorrect response on that question).
Track your progress
At the bottom of each ‘step’ you will see a large button - Mark as complete. Check this as you go so you know where you are up to in the course. This will also help you to secure your certificate for the course.
Watch the welcome video to find out what we’ll cover in this course.
Select the Follow link on Sebastian’s profile page to make sure you see the comments he makes.
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