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If you think that statistics has nothing to say about what you do, or how you could do it better, then you are either wrong or in need of a more interesting job.
— Stephen Senn
Statistics is the science in data science. Without it, your "data-driven" decision-making may be driving you off a cliff edge. A solid grasp of statistical reasoning ensures that you tease only valid insights from your data.
Many traps await the unwary data explorer. In this course, you will learn how to avoid embarrassing mistakes that could undermine months of work.
You will gain hands-on experience with the tools required to make sense of your data and draw the correct conclusions. The focus is on statistical thinking. Concepts will be introduced intuitively before being expanded on formally. You will learn how to think in terms of distributions — not single-point estimates. Statistical methods will be introduced in the context of how to use them to gain insight and solve problems. As a bonus, you will also get the chance to use the powerful, industry-standard R environment to do the number-crunching.
Introduction to Statistics is an essential course for anyone technical, managerial or administrative — interested in using data to inform their decision-making. There are certification bundles available with this training. This course forms part of Learning Tree's Certified Decision Scientist program.
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CONTACT USOur FlexVouchers help you lock in your training budgets without having to commit to a traditional 1 voucher = 1 course classroom-only attendance. FlexVouchers expand your purchasing power to modern blended solutions and services that are completely customizable. For details, please call 888-843-8733 or chat live.
May 10 - 11
9:00 AM - 4:30 PM EDT
Online (AnyWare)
Jun 14 - 15
9:00 AM - 4:30 PM EDT
Online (AnyWare)
Jul 12 - 13
9:00 AM - 4:30 PM EDT
New York / Online (AnyWare)
Aug 9 - 10
9:00 AM - 4:30 PM EDT
Ottawa / Online (AnyWare)
Sep 13 - 14
9:00 AM - 4:30 PM EDT
Herndon, VA / Online (AnyWare)
Oct 13 - 14
9:00 AM - 4:30 PM EDT
New York / Online (AnyWare)
Nov 8 - 9
9:00 AM - 4:30 PM EST
Ottawa / Online (AnyWare)
Dec 13 - 14
9:00 AM - 4:30 PM EST
Herndon, VA / Online (AnyWare)
Jan 10 - 11
9:00 AM - 4:30 PM EST
New York / Online (AnyWare)
Feb 7 - 8
9:00 AM - 4:30 PM EST
Ottawa / Online (AnyWare)
Mar 14 - 15
9:00 AM - 4:30 PM EDT
Herndon, VA / Online (AnyWare)
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.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 analyzing 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 analyze 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.