This course will introduce students to data analytics, overview challenges and solutions in this area, present approaches to predictive and descriptive data mining and explain unsupervised learning techniques suitable for new information discovery.

Visualisation tools and performance metrics are also considered within the course. Students may benefit from knowledge of basic concepts of statistics for performance assessment and evaluation.

At a glance

  • Dates
    • Please enquire for course dates
  • Duration5 Days
  • LocationCranfield campus
  • Cost

    £1,850. The course fee includes lunch and refreshments throughout the day. Accommodation is not included and must be booked separately.

    Concessions available

Course structure

This five day course is presented through a mixture of lectures, tutorials and discussion of case studies. Active participation from the delegates is strongly encouraged particularly during the whole course in order to consolidate learning. All delegates will receive a Certificate of Attendance upon completion of this course.

What you will learn

On completion of the course, you will be able to:

  • Distinguish stages of the data analytics workflow.
  • Categorise data analysis and visualisation techniques with respect to data analytics stages.
  • Plan data analytics workflow based on the available data and formulated requirements.
  • Set up algorithms for discovery of new information from the large data sets.
  • Evaluate performance of the algorithms and quality of the data analysis outcomes.

Core content

The course material includes the following:

  • Introduction to Data Analytics.
  • Data exploration and pre-processing.
  • Predictive analytics: regression and classification methods.
  • Clustering and dimensionality reduction.
  • Graph analysis and visualisation.
  • Software and tools for data analytics.
  • Case study: application of data analytics techniques and visualisation tools for knowledge discovery problem.

Who should attend

The course is of benefit to project engineers, software engineers and analysts who require understanding of data analytics backgrounds for autonomous systems, artificial intelligence, decision making and control.

Speakers

The course is presented through lectures and tutorials conducted by members of Cranfield University’s staff all of whom have considerable academic and industrial experience.

Concessions

20% discount for Cranfield Alumni. 
10% discount when registering 3 or more delegates, from the same organisation at the same time. 

Accommodation fees are not included in the discount scheme. Please ask about our discount scheme at time of booking.

Accommodation options and prices

This course is non-residential. If you would like to book accommodation on campus, please contact Mitchell Hall or Cranfield Management Development Centre directly. Alternatively you may wish to make your own arrangements at a nearby hotel.

Location and travel

Cranfield University is situated in Bedfordshire close to the border with Buckinghamshire. The University is located almost midway between the towns of Bedford and Milton Keynes and is conveniently situated between junctions 13 and 14 of the M1.

London Luton, Stansted and Heathrow airports are 30, 90 and 90 minutes respectively by car, offering superb connections to and from just about anywhere in the world. 

For further location and travel details

Location address

Cranfield University
College Road
Cranfield
Bedford 
MK43 0AL

How to apply

To apply for this course please use the online application form.

Apply now

Read our Professional development (CPD) booking conditions.