subject

FutureLearn: Predictive Analytics: Gaining Insights from Big Data

 with  Kerrie Mengersen
Sponsored
An ​online ​MBA ​redesigned ​for ​business ​professionals
University ​of ​Illinois ​at ​Urbana-Champaign via Coursera

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.

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.

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.
0 Student
reviews
Cost Free Online Course (Audit)
Pace Finished
Subject Data Science
Provider FutureLearn
Language English
Certificates Paid Certificate Available
Hours 2 hours a week
Calendar 4 weeks long
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FAQ View All
What are MOOCs?
MOOCs stand for Massive Open Online Courses. These are free online courses from universities around the world (eg. Stanford Harvard MIT) offered to anyone with an internet connection.
How do I register?
To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.
How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you.  They also have student discussion forums, homework/assignments, and online quizzes or exams.

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