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    Quantitative Analysis

    Register
    November 12-16, 2024 Indianapolis, IN
    Date
    November 12-16, 2024
    Time
    8:30 am - 4:30 pm (EST)
    Sponsor
    Appraisal Institute
    Location
    EGIS
    8320 Craig Street
    Indianapolis, IN 46250
    Instructor
    John H. Urubek, MAI, AI-GRS
    Class Time
    30 hours
    Exam Time
    3 Hours
    Full Price
    $1,300.00
    AI Price
    $1,000.00
    Enroll by November 11!
    View Pricing Options
    Course Description
    This course limits its focus to the practical application of quantitative tools for analyzing data, drawing appropriate conclusions from data sets, and presenting both the analysis and conclusions in ways that enhance communication with appraisal clients. It reviews and furthers the application of basic statistical measures (mean, median, mode, standard deviation, etc.) and spends a good deal of time on graphical and regression analysis for use in producing and understanding various types of graphs. Goals include showing participants how to understand the reliability and validity of all data used to draw conclusions and providing the knowledge needed to check the validity of the conclusions others may draw from the same or similar data sets. Presentations and activities use real-world appraisal applications that are aimed at furthering an appraiser’s ability to provide credible analysis of real property-related issues.
     
    Note. This course is in both the Analytics for Valuation and Real Estate Analyst Professional Development Programs. Please view both Analytics FAQ and Real Estate FAQ, which includes information regarding the courses you’ll need to complete either program successfully. 
     
    Who Should Enroll
    • General or residential Candidates for Designation who are working toward an MAI or SRA designation
    • MAIs or SRAs who want to further their knowledge and skill base in statistics
    • Certified general or residential real property appraisers
    • Tax assessors
    • Attorneys
    • Bankers
    • Review appraisers
    • Market researchers
    AI CE Points
    Attend:
    275
    Attend & Pass Exam:
    375
    Pass Only:
    325
    State Approvals
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    AR CE 30 30 Classroom Classroom 11/20/2023 11/19/2025
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    AZ CE 33 30 3 Classroom Classroom 01/26/2024 01/25/2027 76615
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    CA CE 30 30 Classroom Classroom 11/07/2023 11/06/2027 12754227
    CA QE 33 30 3 Classroom Classroom 11/07/2023 11/06/2027 12754227
    CO CE 30 30 Classroom Classroom 01/26/2024 01/25/2025 2532
    CO CE 33 30 3 Classroom Classroom 01/26/2024 01/25/2025 2532
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    CT CE 18 18 Classroom Classroom 11/15/2021 11/15/2024 AAL.000851
    CT QE 33 30 3 Classroom Classroom 01/26/2024 01/25/2025 APR.000322
    DC CE 33 30 3 Classroom Classroom 02/29/2024 02/28/2026
    DC QE 33 30 3 Classroom Classroom 02/29/2024 02/28/2026 4052
    DE CE 33 30 3 Classroom Classroom 01/26/2024 01/25/2027 76615
    DE QE 33 30 3 Classroom Classroom 01/26/2024 01/25/2027 76615
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    HI CE 32 32 Classroom Classroom 01/01/2024 12/31/2024 23-391
    HI CE 35 32 3 Classroom Classroom 01/01/2024 12/31/2024 23-391
    HI QE 35 32 3 Classroom Classroom 01/01/2024 12/31/2024 23-391
    IA CE 30 30 Classroom Classroom 01/26/2024 01/25/2025 A518-1185
    IA CE 33 30 3 Classroom Classroom 01/26/2024 01/25/2025 A518-1186
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    ID CE 33 30 3 Classroom Classroom 01/26/2024 01/25/2027
    ID QE 33 30 3 Classroom Classroom 03/28/2022 01/25/2027
    IL CE 30 30 Classroom Classroom 01/01/2023 12/31/2024 575.001729
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    MI QE 33 30 3 Classroom Classroom 03/06/2024 01/25/2025 20 - 1092430
    MN CE 33 30 3 Classroom Classroom 04/01/2024 03/31/2026 1010746
    MN CE 30 30 Classroom Classroom 04/01/2024 03/31/2026 1010747
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    MO QE 33 30 3 Classroom Classroom 01/26/2024 01/25/2025
    MS CE 30 30 Classroom Classroom 01/26/2024 01/25/2026 MAB #49711
    MS CE 33 30 3 Classroom Classroom 02/22/2024 01/25/2026 MAB #49711
    MT CE 30 30 Classroom Classroom 11/23/2020 01/25/2025 REA-CEC-REC-16816
    MT QE 33 30 3 Classroom Classroom 11/23/2020 01/25/2025 REA-CEC-REC-16816
    NC QE 33 30 3 Classroom Classroom 01/01/2024 12/31/2024
    ND CE 35 32 3 Classroom Classroom 01/26/2015
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    NJ CE 30 30 Classroom Classroom 01/26/2024 01/25/2025 2023-3443
    NJ QE 33 30 3 Classroom Classroom 01/26/2024 01/25/2025 2023-3443
    NM CE 30 30 3 Classroom Classroom 01/26/2024 01/25/2025 4353
    NM QE 33 30 3 Classroom Classroom 01/26/2024 01/25/2025 4353
    NV CE 30 30 Classroom Classroom 11/22/2023 10/31/2024 CE.0008908-A
    NV QE 33 30 3 Classroom Classroom 04/01/2024 03/31/2025 PL.0008551-A
    NY CE 30 30 Classroom Classroom 01/01/2024 12/31/2024 A4268-28
    OH CE 32 32 Classroom Classroom 01/01/2024 12/31/2024 084401304A 22
    OH QE 33 30 3 Classroom Classroom 01/01/2012 01/25/2027 76615
    OK CE 30 30 Classroom Classroom 01/26/2024 01/25/2025 819
    OK QE 33 30 3 Classroom Classroom 01/26/2024 01/25/2025 662
    OR CE 33 30 3 Classroom Classroom 01/26/2024 01/25/2027 APIN-Q-1123-9015
    OR QE 33 30 3 Classroom Classroom 01/26/2024 01/25/2027 APIN-Q-1123-9015
    PA CE 30 30 3 Classroom Classroom 01/26/2024 01/25/2025
    PA QE 33 30 3 Classroom Classroom 01/26/2024 01/25/2025
    PR CE 33 30 3 Classroom Classroom 01/26/2024 01/25/2027 76615
    PR QE 33 30 3 Classroom Classroom 01/26/2024 01/25/2027 76615
    RI CE 30 30 Classroom Classroom 01/26/2024 01/25/2025 REA.0002113-CE
    RI QE 33 30 3 Classroom Classroom 01/26/2024 01/25/2025 REA.0002113-CE
    SC CE 33 30 3 Classroom Classroom 09/01/2024 08/31/2026 AC . 1506
    SC QE 33 30 3 Classroom Classroom 09/01/2024 08/31/2026 AC . 1506
    TN CE 30 30 Classroom Classroom 03/01/2024 02/28/2026 1548
    TN QE 33 30 3 Classroom Classroom 03/01/2024 02/28/2026 1548
    TX CE 33 30 3 Classroom Classroom 01/26/2023 01/31/2025 TX Provider #:10 Course #:43263
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    TX QE 33 30 3 Classroom Classroom 01/26/2023 05/31/2025 TX Provider #: 8038 Course #: 46662
    UT CE 30 30 Classroom Classroom 07/01/2023 06/30/2025 AC230611
    UT QE 35 32 3 Classroom Classroom 11/01/2023 10/31/2025 AQ231006
    VA CE 33 30 3 Classroom Classroom 01/26/2024 01/25/2027 76615
    VA QE 35 32 3 Classroom Classroom 04/01/2023 03/31/2025 4006000793
    VT CE 30 30 Classroom Classroom 02/28/2024 11/29/2027 CA-218785
    VT QE 33 30 3 Classroom Classroom 02/28/2024 11/29/2027 CA-218783
    WA CE 30 30 Classroom Classroom 01/26/2024 01/25/2025 A23035118
    WA QE 33 30 3 Classroom Classroom 01/26/2024 01/25/2025 A23035118
    WI CE 33 30 3 Classroom Classroom 01/26/2024 01/25/2027 76615
    WI QE 33 30 3 Classroom Classroom 01/26/2024 01/25/2027 76615
    WV CE 30 30 Classroom Classroom 01/26/2024 01/25/2025
    WV QE 33 30 3 Classroom Classroom 01/26/2024 01/25/2025
    WY CE 33 30 3 Classroom Classroom 01/26/2024 01/25/2027
    WY QE 33 30 3 Classroom Classroom 01/26/2024 01/25/2027
    Course Objectives
    • Properly apply and explain statistical methods such as simple and multiple regression analysis using market information.
    • Critique statistical applications.
    • Identify how to incorporate statistical analysis in valuation reports.
    • Identify how to evaluate the reliability of various types of data used in valuation.
    • Use the language of quantitative analysis properly.
    • Use graphs to present data and analysis.
    • Identify research design issues such as hypothesis construction, data reliability and validity, and sampling issues.
    Course Details

    Program Overview:
    Table of Contents and Overview
    Course Schedule

    Assignments:
    Yes. A pre-class, 2-hour online session.

    Equipment:

    • A financial calculator is required. The accepted model used in the program is the HP-12C. AI education programs that require a financial calculator are developed with HP-12C keystrokes; using this model is highly recommended.
    • You must be familiar with calculator operation when the program begins. Do not enroll expecting to be taught how to use a financial calculator.
    • For more information and a free review, click here.
    • For additional help with the HP-12C calculator, take our online seminar Using Your HP-12C Financial Calculator
    • HP-12C calculator User's Manual.

    Additional Information:

    Course Materials Include:

    • Course Handbook (462 pp.)
    • Solutions Booklets (158 pp.)
    • Downloads (822 KB)
    Please review the FAQs for important information regarding registration and cancellation deadlines; mandatory diagnostic test; online session; and course equivalencies.
    Designated members, Candidates for Designation and Practicing Affiliates will receive the discounted AI Price for the MAI designation courses: Advanced Income Capitalization, Advanced Market Analysis and Highest Best Use, Advanced Concepts and Case Studies, and Quantitative Analysis. All others will pay full price.
    For more information on how to become a Candidate for Designation, click here.

    Important Note: Mandatory Diagnostic Test
    Before enrolling in this or any other MAI designation course, you must take a diagnostic test. The Excel diagnostic tests your mastery of solving appraisal problems using spreadsheets. This diagnostic test was intentionally designed to be challenging and ensure participants have adequate Excel skills before taking MAI designation courses. For more information, check out the Diagnostic FAQ.

    Excel is used extensively in the MAI designation courses; it is highly recommended that you know how to perform the necessary appraisal functions in Excel to succeed in this course.

    The diagnostic test is free and can be taken at any time on your personal computer. To register for the test, please click here.

    This course implements a blended learning approach, which includes:
    • A pre-class, 2-hour online session
    • 30 hours of traditional classroom education
    • A 3-hour exam on the 5th morning.

    This course is in the Analytics for Valuation Professional Development Program. View this list of FAQs, which includes information regarding the courses you’ll need to complete the program successfully.


    You will be asked to clear the calculator’s memory before and after the examination. Only one calculator is permitted in the testing room. Examinees taking most AI exams may bring their own calculator to use during the exam. Laptops, cellular phones, tablets, iPads, wearable technology (smart watch, Apple Watch, Google Glass, etc.), and other devices that can store data or connect to the Internet are NOT permitted during the exam. In addition, all watches, wallets, bags, and purses must be removed and stored out of reach prior to taking the exam.

    Requirements:

    • Microsoft Excel 2010 must be loaded and operational (external mouse recommended). (You may use other spreadsheet programs, but those programs won’t be supported in class; demonstrations will be done in Excel.)     
    • Do not enroll expecting to be taught how to use Excel. 
    • Note to Mac users: Microsoft does not support the Data Analysis Tool Pack in Mac Office Excel 2008 or Mac Office Excel 2011. However, they do suggest free third-party add-ins with similar functionality. For 2008, click here. For 2011, click here.

    Prerequisites
    Required:

    Recommended:

    Course Materials & Recommended Books
    Pricing Options
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    Today thru 11/11/2024
    $1,300.00 $1,000.00
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