One of CCIM's most innovative core courses, CI 102 shows you how to deploy “big data” and the most advanced digital tools to assess critical issues like market demand, location facility, and supply-chain strategy. CI 102 students have learned BAO mapping and data analytics to help their clients select store locations; others used Tapestry Segmentation to determine demand for apartment properties. In CI 102 you'll work with four case studies covering each of the major property types: office, industrial, multifamily, and retail.
All sessions are recorded. The recording will be available for download within 24 hours of the session end time.
To receive course credit, students are required to pass the course exam by earning a score or 70% or higher. All exams are administered online. Exams open at 11 a.m. Central time the day after the course ends and close at 5 p.m. Central time seven (7) days later.
Example: The exam for a course that ends on Friday will open at 11 a.m. Central time Friday. That exam will close at 5 p.m. Central time the following Friday.
Session Dates and Times
The virtual classroom sessions meet a total of 10 times, from 3:00 pm - 7:00 pm CT
• Sessions 1: Monday, 8th March
• Sessions 2: Wednesday, 10th March
• Sessions 3: Friday, 12th March
• Sessions 4: Monday, 15th March
• Sessions 5: Wednesday, 17th March
• Sessions 5: Friday, 19th March
Eric Hillenbrand, CCIM
Marcus and Millichap|Retail Investment SpecialistMonday, March 08, 2021 at 03:00 PMVIRTUAL
Session Dates and Times
The virtual classroom sessions meet a total of 10 times, from 1:00 p.m. - 3:00 p.m. & 5:00 p.m. - 7:00 p.m. CT
•Sessions 1 and 2: Monday, 15th March
•Sessions 3 and 4: Wednesday, 17th March
•Sessions 5 and 6: Friday, 19th March
•Sessions 7 and 8: Monday, 22nd March
•Sessions 9 and 10: Wednesday, 24th March
Course dates and times are listed below. To receive course credit, students are required to pass the course exam by earning a score or 70% or higher. All exams are administered online. The exam opens at 8 a.m. Central time the day after the course ends and closes at 8 a.m. Central time seven (7) days later.
Example: The exam for a course that ends on Thursday will open at 8 a.m. Central time Friday. That exam will close at 8 a.m. Central time the following Friday.
Combine the personal attention of an instructor with the flexibility of online learning. Courses have one or more virtual sessions per week and defined start and end dates. All materials are provided online. Review the Schedule for specific session times.
•CI 101 - Financial Analysis for Commercial Investment Real Estate
•Completion of one of the following interest-based negotiations courses:
•Preparing to Negotiate (self-paced online)
•Commercial Real Estate Negotiations (1-day workshop)
CI 103: User Decision Analysis for Commercial Investment Real Estate
Linking a company's enterprise-level goals with their real estate strategy is key to offering the right space solution. Whether an investor, operator, or a broker, it's important to approach real estate problems from the perspective of the user/occupant. In CI 103, you'll learn such advanced skills as how to perform a comparative lease analysis between competing assets, analyze a sale-leaseback to help a client generate capital from their owned real estate, and advise a client on a lease vs. purchase decision to facilitate an expansion.
Incorporating the CCIM Decision-Making Model and the CCIM Communications/Negotiations Model, CI 103 explores new concepts regarding user discount rate selection, such as using multiple rates for some occupancy decisions based on perception of risk related to the various occupancy cash flows.
After completing this course, you will be able to:
•apply key occupancy decision-making skills such as comparative lease analysis, lease vs. purchase analysis, lease buyout analysis, and sale-leaseback analysis to •optimize user space decisions;
•determine how the financial reporting requirements for real estate influence user decisions; and
•integrate negotiation skills with financial analysis skills to maximize user outcomes.
Instructor:Monday, March 15, 2021 at 01:00 PMVIRTUAL