x-Mastery Series Test Page

x-Mastery Series Test Page

This mastery series is wonderful. Cras justo odio, dapibus ac facilisis in, egestas eget quam.
This is a summary for the mastery series. Duis mollis, est non commodo luctus, nisi erat porttitor ligula, eget lacinia odio sem nec elit. Cum sociis natoque penatibus et magnis dis parturient montes.
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Overview

Mastery series content. Cras justo odio, dapibus ac facilisis in, egestas eget quam. Fusce dapibus, tellus ac cursus commodo, tortor mauris condimentum nibh, ut fermentum massa justo sit amet risus. Maecenas sed diam eget risus varius blandit sit amet non magna. Morbi leo risus, porta ac consectetur ac, vestibulum at eros.

Who This Mastery Serves

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Learning Outcomes

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  • Nulla vitae elit libero, a pharetra augue.
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Prerequisites

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Cluster Analysis

This course will teach you how to use various cluster analysis methods to identify possible clusters in multivariate data. Methods discussed include hierarchical clustering, k-means clustering, two-step clustering, and normal mixture models for continuous variables.
Topic: Statistics, Analytics, Marketing Analytics, Statistical Modeling | Skill: Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: May 29, 2020

Deep Learning

This course will introduce you to the essential techniques of text mining as the extension of data mining’s standard predictive methods to unstructured text.
Topic: Data Science, Machine Learning | Skill: Intermediate | Credit Options: ACE, CEU
Class Start Dates: Nov 6, 2020

Designing Valid Statistical Studies

This course will teach you how to design studies to produce statistically valid conclusions. Topics covered in the course include: overview of validity and bias, selection bias, information bias, and confounding bias.
Topic: Statistics, Biostatistics | Skill: Introductory | Credit Options: CEU
Class Start Dates: Feb 14, 2020

Required Courses

Those courses are required. Cras justo odio, dapibus ac facilisis in, egestas eget quam.

Cluster Analysis

This course will teach you how to use various cluster analysis methods to identify possible clusters in multivariate data. Methods discussed include hierarchical clustering, k-means clustering, two-step clustering, and normal mixture models for continuous variables.
Topic: Statistics, Analytics, Marketing Analytics, Statistical Modeling | Skill: Intermediate | Credit Options: ACE, CAP, CEU
Class Start Dates: May 29, 2020

Customer Analytics in R

In this course you will work through a customer analytics project from beginning to end, using R.
Topic: Analytics, Marketing Analytics | Skill: Introductory | Credit Options: ACE, CAP, CEU
Class Start Dates: May 15, 2020, Nov 13, 2020, May 14, 2021, Nov 12, 2021

Designing Valid Statistical Studies

This course will teach you how to design studies to produce statistically valid conclusions. Topics covered in the course include: overview of validity and bias, selection bias, information bias, and confounding bias.
Topic: Statistics, Biostatistics | Skill: Introductory | Credit Options: CEU
Class Start Dates: Feb 14, 2020

What Our Students Say​

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As a Business Intelligence Developer for WMV Medicine, these courses helped me to brush up on the skills needed to prepare me for Biostatistics for Medical Sciences.

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Brittany Brooks
WVU Medicine
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This course (Introduction to Design of Experiments) taught me that DOE is a much stronger tool than I anticipated. While I've used DOE software in the past, I never understood the calculations behind the design settings. Now that I have a better grasp of what is happening, I plan to revise some previous DOE's to optimize parameters and results.

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Jair Leal
Baker Hughes GE

Tuition and Fees

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Enroll With Pay-As-You-Go

Frequently Asked Questions

Can I transfer or withdraw from a course?

We have a flexible transfer and withdrawal policy that recognizes circumstances may arise to prevent you from taking a course as planned. You may transfer or withdraw from a course under certain conditions.

  • Students are entitled to a full refund if a course they are registered for is canceled.
  • You can transfer your tuition to another course at any time prior to the course start date or the drop date, however a transfer is not permitted after the drop date.
  • Withdrawals on or after the first day of class are entitled to a percentage refund of tuition.

Please see this page for more information.

Are courses eligible for CEU?

Many of the courses at The Institute for Statistics Education have been recommended for C.E.U.’s, based on the length of the course (typically 5.0 CEUs for 4-week courses).

Are Statistics.com courses certified?

The Institute for Statistics Education is certified to operate by the State Council of Higher Education for Virginia (SCHEV). For more information, go to www.schev.edu

Are courses eligible for college credit?

Many of the courses at The Institute for Statistics Education have been recommended for academic credit by The American Council on Education (ACE). ACE-accredited courses can be transferred to another educational institution that accepts ACE credit.

Are the certificate programs accredited?

The Institute for Statistics Education is certified to operate by the State Council of Higher Education for Virginia (SCHEV).

In addition, many of the courses at The Institute for Statistics Education have been recommended for credit by The American Council on Education (ACE), INFORMS, and can be used as CEUs in many programs.

The American Council on Education (ACE) approved credit for many of the required courses for our certificate programs and can be transferred to another educational institution that accepts ACE credit.

Visit our knowledge base and learn more.

FAQs + Knowledge Base

Latest Blogs

A Deep Dive into Deep Learning
On Wednesday, March 27, the 2018 Turing Award in computing was given to Yoshua Bengio, Geoffrey Hinton and Yann LeCun for their work on deep learning. Deep learning by complex neural networks lies behind the applications that are finally bringing artificial intelligence out of the realm of science...
Read more »
“Defiant” Supervision
How did the phrase "defiantly recommend", as in "I defiantly recommend this product," come into common usage on the internet? The answer is a good look inside the workings of supervised learning. Supervision, generally from humans, is instrumental in much of statistical and machine learning. Google's precise search algorithms...
Read more »
"Money and Brains" and "Furs and Station Wagons"
"Money and Brains" and "Furs and Station Wagons" were evocative customer shorthands that the marketing company Claritas came up with over a half century ago. These names, which facilitated the work of marketers and sales people, were shorthand descriptions of segments of customers identified through statistical cluster analysis. Cluster analysis...
Read more »

Additional Information

Organization of Series

This course takes place online at The Institute for 4 weeks. During each course week, you participate at times of your own choosing – there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.

Time Requirements

This is a 4-week course requiring 10-15 hours per week of review and study, at times of your choosing.

Course Fee & Information

Enrollment
Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date unless you specify otherwise.

Transfers and Withdrawals
We have flexible policies to transfer to another course or withdraw if necessary.

Group Rates
Contact us to get information on group rates.

Discounts
Academic affiliation?  In most courses you are eligible for a discount at checkout.

New to Statistics.com?  Click here for a special introductory discount code.  

Invoice or Purchase Order
Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment.

Options for Credit and Recognition

This course is eligible for the following credit and recognition options:

No Credit
You may take this course without pursuing credit or a record of completion.

Mastery or Certificate Program Credit
If you are enrolled in mastery or certificate program that requires demonstration of proficiency in this subject, your course work may be assessed for a grade.

CEUs and Proof of Completion
If you require a “Record of Course Completion” along with professional development credit in the form of Continuing Education Units (CEU’s), upon successfully completing the course, CEU’s and a record of course completion will be issued by The Institute upon your request.

Miscellaneous

There is no additional information for this course.

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