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This hands-on introduction to statistics for data science gives you the tools required to make sense of data and draw *valid* conclusions. The focus of this course is on statistical thinking. Concepts will be introduced intuitively before being expanded formally. You will learn how to think in terms of distributions---not single point estimates. Statistical tools will be introduced in the context of how to use them to gain insight and solve problems. You will also learn how to use the powerful, industry-standard R environment to do the number-crunching in this statistics for data science course.
LIVE, INSTRUCTOR-LED
TRAINING AT YOUR SITE
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CONTACT USOur flexible, easy-to-redeem training vouchers are available to any employee within your organisation. For details, please call 0800 282 353 or chat live.
*Events with the Partial Day Event clock icon run longer than normal but provide the convenience of half-day sessions.
3 - 4 Sep 9:00 AM - 4:30 PM BST London / Online (AnyWare) Reserve Your Seat
24 - 25 Nov 9:00 AM - 4:30 PM GMT London / Online (AnyWare) Reserve Your Seat
11 - 12 Mar 9:00 AM - 4:30 PM GMT London / Online (AnyWare) Reserve Your Seat
15 - 16 Jun 2:00 PM - 9:30 PM BST Online (AnyWare) Reserve Your Seat
13 - 14 Jul 2:00 PM - 9:30 PM BST Online (AnyWare) Reserve Your Seat
14 - 15 Sep 2:00 PM - 9:30 PM BST Herndon, VA / Online (AnyWare) Reserve Your Seat
13 - 14 Oct 2:00 PM - 9:30 PM BST New York / Online (AnyWare) Reserve Your Seat
14 - 15 Dec 2:00 PM - 9:30 PM GMT Herndon, VA / Online (AnyWare) Reserve Your Seat
11 - 12 Jan 2:00 PM - 9:30 PM GMT New York / Online (AnyWare) Reserve Your Seat
15 - 16 Mar 1:00 PM - 8:30 PM GMT Herndon, VA / Online (AnyWare) Reserve Your Seat
Guaranteed to Run
When you see the "Guaranteed to Run" icon next to a course event, you can rest assured that your course event — date, time — will run. Guaranteed.Partial Day Event
Learning Tree offers a flexible schedule program. If you cannot attend full day sessions, this option consists of four-hour sessions per day instead of the full-day session.There are no formal prerequisites for attending this course.
Anyone who is required to draw conclusions from numbers.
No prior knowledge of statistics or software packages is required. An inquisitive nature and an interest in using numbers to solve problems are essential.
Statistics is the science of analysing data, particularly in large quantities, and using it to draw more general conclusions.
Without statistics, conclusions drawn from data can be fatally flawed. As data becomes ubiquitous, the ability to analyse it responsibly is essential.
Participants be able to understand basic mathematical concepts (high-school level) and have a level of comfort with using computer software, such as Excel.
Yes. There are various opportunities to conduct analyses throughout the period of the training.
Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient online training to meet your needs wherever you want. This course is available online, in person, or as Private Team Training.