Predictive Analytics Preview

Predictive Analytics - a 1 week preview

Aim of Course:

In this 1 week preview of “Predictive Analytics 1 - Machine Learning Tools,” you will be introduced to the basic concepts in predictive analytics, also called predictive modeling, the most prevalent form of data mining.

The session is also intended as a preview and illustration of how courses operate at The Institute for Statistics Education. 

FREE: Our 1-week preview covers how to fit and assess the performance of predictive models with multiple linear regression and k-nearest-neighbors, including use of holdout data. Sign up here and we will send details and a code for a full waiver of the $99 course fee.
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Course Program:

WEEK 1: Preparation, Classification and Prediction

  • What is supervised learning
  • Data partitioning and holdout samples
  • Choosing variables (features)
  • Handling missing data
  • Visualization and exploration
  • K-Nearest-Neighbors (KNN)
    • Measuring distance
    • Choosing k
    • Generating classifications and predictions
Homework:

Homework in this course consists of short answer problems, and includes exercises that require the use of computer software.

This course also has supplemental readings available online.

 


Predictive Analytics Preview

Who Should Take This Course:

Marketing and IT managers, financial analysts and risk managers, accountants, data analysts, data scientists, forecasters, and anyone considering taking a course at Statistics.com who wants to see how our courses operate. This course is especially useful if you want to understand what predictive modeling might do for your organization.

Level:
Introductory/Intermediate
Prerequisite:
You should be familiar with introductory statistics.  Try these self tests to check your knowledge.
Organization of the Course:Options for Credit and Recognition:
Course Text:
The required text for this course is Data Mining for Business Analytics: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner, 3rd Edition, by Shmueli, Patel and Bruce. Selections from this text will be provided in the one week session.
Software:

This 1 week preview is a hands-on session, and participants will apply data mining algorithms to real data.  The course is built around XLMiner, which is available:

  • For Windows versions of Excel, or
  • Over the web

Course participants will have access to a no-cost license for XLMiner.

Instructor(s):

Dates:

April 19, 2019 to April 26, 2019 August 30, 2019 to September 06, 2019

Predictive Analytics Preview

Instructor(s):

Dates:
April 19, 2019 to April 26, 2019 August 30, 2019 to September 06, 2019

Course Fee: $0 (free with code)

Do you meet course prerequisites? What about book & software? (Click here to learn more)

We have flexible policies to transfer to another course, or withdraw if necessary (modest fee applies)

Group rates: Click here to get information on group rates. 

First time student or academic? Click here for an introductory offer on select courses. Academic affiliation?  You may be eligible for a discount at checkout.

This course is free with your code (see syllabus tab)

Register Now

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. Please use this printed registration form, for these and other special orders.

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.

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

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