A new course for using statistical techniques with very large amounts of data. It is a must for data scientists or anyone who analyses very large data sets which are too big for excel spreadsheets.
With a track record of success spanning over thirty years, we have been welcomed by hundreds of leading companies and organisations and have helped thousands of scientists and technologists to use statistical methods to improve their processes or simply to understand their data. We offer both open courses, where individuals attend one of our public courses, as well as in-house courses, tailored specifically to a company’s requirements both in their content and duration.
Browse our statistics courses & services and see how we can help your company…
Open Training Courses
Each year we run a full programme of residential practical statistics courses throughout the UK. These are open to anyone from both the UK and abroad.
Our in-house practical training courses in statistics provide you and your team with exactly the right training at a time and location to suit you. We will design a unique course which is tailor made to suit the group’s current level of knowledge and focus on their specific problems and applications.
We specialise in applying advanced statistical methods and data analysis techniques to solve complex business problems. Using statistical techniques mixed in with a good amount of common sense and experience, we’ve been able to come up with practical, pragmatic, actionable answers. In many cases this has enabled clients to save vast amounts of money, time and effort.
A statistically significant success – contact us today and see how we can help your company!
Since Statistics for Industry was founded 30 years ago, we have run over 1,000 courses and helped more than 10,000 clients to become confident in using statistics. We have been welcomed by hundreds of leading companies and organisations worldwide and shown scientists, engineers, technologists, market researchers and many others how to use statistical methods to improve their processes and understand their data.