Exploratory Data Analysis and Essential Statistics Using R

What you will learn

On successful completion of this course you should be able to:

• Devise basic R programs to meet given specifications,
• Critically assess the basic principles of different statistical techniques and be able to implement them programmatically and effectively integrate and devise statistical methods into experimental protocol design,
• Apply different data pre-processing techniques,
• Describe the difference between univariate and multivariate analysis,
• Apply exploratory data analysis using unsupervised multivariate analysis methods.

Core content

• Introductory statistics – averages, variance and significance testing,
• Data pre-processing techniques,
• Exploratory data analysis (PCA, HCA),
• An introduction to R.

Upgrade to a professional qualification

Speakers

Professor Fady Mohareb

Accommodation options and prices

This is a non-residential course. If you would like to book accommodation on campus, please contact Mitchell Hall or Cranfield Management Development Centre directly. Further information regarding our accommodation on campus can be found here.

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