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Online course

Predictive Analytics: Gaining Insights from Big Data

Learn to use predictive analytics tools and HPE Vertica Analytics to gain insights from big data, with this free online course.

Free:

  • Access to the course for its duration + 14 days, regardless of when you join (this includes access to articles, videos, peer review steps, quizzes)
  • No certificate

Upgraded:

  • Unlimited access to the course, for as long as it exists on FutureLearn (this includes access to articles, videos, peer review steps, quizzes)
  • A Certificate of Achievement when you complete the course

Find out more

Predictive Analytics: Gaining Insights from Big Data

Learn how predictive analytics tools can help you gain insights from big data.

Collecting big data is just the first step; once you have it, how do you make sense of it? This free online course will show you how predictive analytics tools can help you gain information, knowledge and insights from big data.

Over the next four weeks, experience the power of HPE’s Vertica Analytics platform as an applied tool. Using Vertica Analytics and a case study approach, apply built-in predictive analytics functions and algorithms – linear regression, logistics regression and k-means clustering – to derive insight from your data, helping to create opportunities for your organisation.

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Skip to 0 minutes and 8 secondsHello. Big data is everywhere. We can capture trends, patterns and associations which tell us a story about human behaviour across many different areas—business and health, the environment and industry. Here at QUT we work across these domains drawing on the expertise of researchers to develop methodologies for analysing, visualising and managing big data for different organisations. QUT’s Australian Research Council Centre of Excellence in Mathematical and Statistical Frontiers aims to bring together expert in mathematics, statistics and machine learning to tackle frontier research challenges. These new solutions are used to contribute to the creation of healthy people, sustainable environments and prosperous societies.

Skip to 1 minute and 3 seconds Using HPE Vertica Analytics and a real-world case study, this course will show you how to apply three predictive models – linear regression, logistics regression and K-means clustering – to gain knowledge and insights from big data. Join us — and you too can learn how to make sense of big data.

What topics will you cover?

  • Modelling, estimation and prediction
  • Estimation and prediction using linear regression
  • Estimation and prediction using logistic regression
  • Estimation and prediction using k-means clustering

When would you like to start?

  • Date to be announced

What will you achieve?

  • Describe big data analytics
  • Identify solutions to big data problems
  • Evaluate predictive data analysis models
  • Assess the suitability of predictive models
  • Model data using various predictive models

Who is the course for?

This course is aimed at data scientists, data analysts and those who need to deal with big data in their workplace. For learners without experience in this field, familiarity with SQL and UNIX is highly recommended in order to make the most of the learning opportunities.

What software or tools do you need?

There are many tools available for making sense of big data. In this course, we will be using Hewlett Packard Enterprise’s Vertica Analytics platform. New to Vertica Analytics? Don’t have the software? Don’t worry: we’ll send you a link with instructions on how you can download a data-limited version – yours to keep indefinitely. The downloadable virtual machine includes a case study data set that we’ll be using for the practical sessions of this course.

You will need access to a Windows or Mac machine with the following:

  • 64-bit Windows 7 or above; 64-bit macOS (previously known as OS X)
  • 30 GB free disk space
  • 12 GB RAM
  • administrator rights to your machine so that you can install the VM Player.

Who will you learn with?

Kerrie Mengersen

I’m a Professor at QUT and a Deputy Director of ACEMS. My interests are in statistical modelling and analysis, computational and simulation sciences and big data analytics.

Drea Brandford

I have been developing educational materials for Vertica Analytics at HPE Software Education since 2011, focusing on instructor-led materials and self-paced training.

Who developed the course?

QUT is a leading Australian university ranked in the top 2% of universities worldwide by the 2015-16 Times Higher Education World University Rankings. Located in Brisbane, it attracts 47,000 students.

Buy a personalised, digital and printed certificate and transcript

You can buy a Certificate of Achievement for this course — a personalised certificate and transcript in both digital and printed formats, to prove what you’ve learnt. A Statement of Participation is also available for this course.

Certificate of Achievement + transcript £59.00

Statement of Participation £29.00

Estimate prices in preferred currency

Charges to your account will be made in GBP. Prices in local currency are provided as a convenience and are only an estimate based on current exchange rates.