78 Data Modeling courses

This one day course has been developed to teach essential real estate financial modelling theory, functions and formulas to individuals working in the real estate sector.

This course will show delegates how to appraise projects in Excel, incorporate and communicate updates as they happen and ultimately understand how to convert an opportunistic property investment into a core asset that can be sold on.

This week long CPD accredited training is ideal for those Real Estate professionals, who are looking to bolster the DCF modelling skills. This course covers Real Estate Investment, Development, Finance & Risk.

Bayfield Training and the University of Cambridge Department of Land Economy This prestigious eight-week online Real Estate course is suitable for modellers new to Real Estate and experienced Real Estate Analysts looking to formalise their skill set. This course will equip you with skills to start building your own financial models and the certificate will give your employers and colleagues reassurance of your expertise. If you want to enhance your financial modelling skills over an extended period, the Real Estate Financial Modelling Certificate is the course for you. This online real estate course has been put together exclusively for the Real Estate Financial Modelling certificate, using state of the art digital resources such as animations, video-steps, digital whiteboard and video-interactions as well as the spreadsheets, text based resources and tutor contact you would expect from any of Bayfield Training’s classroom based courses.  Assessment is in the form of a guided model build exercise and written model appraisal. Participants benefit from an additional months access to the course platform after submission of the assessment. On this course you will: Become a competent model builder, building Real Estate Financial Models from scratch Learn tricks and concepts from financial modelling experts with decades of experience in practice and academia Learn how to use Real Estate Financial Models to make informed investment decisions Learn at a consistent pace over 8 weeks allowing you to take the time to fully grasp this important skill This course is suitable for: Chartered Surveyors Asset Managers Financial Controllers Financial Analysts Investment Managers Property Managers Real Estate Students/Recent Graduates Course Outline: Module 1 - Economic Context Introduction to Real Estate Asset Modelling and how it relates to and is distinct from Econometric Models. Introduction to Real Estate Asset Modelling and how it relates to and is distinct from Econometric Models. Why Real Estate Asset Modelling is important Understanding the occupier, asset and development markets and the relevant modelling approaches for each Real Estate Sub-Sector Key Performance Indicators Introduction to conventional valuations and financial mathematics Understanding and minimising errors in Financial Models Module 2 - Cash Flow Fundamentals Constructing a financial model from first principles. Understanding all the components of a basic cash flow model Understand why Corporate Finance Models and Real Estate Models are different Financial Model Design Making the link between valuations, income mathematics and discounted cash flows Internal Rate of Return, Net Present Value,Worth and other metrics Features and techniques to aid fast model building Module 3 - Developing the Cash Flow Adapting financial models for different periodicities and building rent functions for different rent behaviour. Understanding how leases vary with respect to rent over time: Rent Reviews, Break Clauses, Rent Free Periods, Lease Expiries etc. Developing the concept of a Rent Function in Excel Logic mathematics and Logic functions Projecting rent to adapt to different lease contracts and growth patterns Alternative solutions to Logic functions Comparative analysis of lease structures in different jurisdictions and adapting financial models Module 4 - Real Estate Data Understanding the different sources of data, constructing basic time series models and recognising basic patterns. Key Property market indicators Characteristics and application of key input metrics for Real Estate Appraisals Understanding the eight components of Real Estate Price Dynamics Awareness of the different sources of data Reading and using general property market reports Constructing basic time series models and recognising basic patterns Module 5 - Development Appraisals Constructing a development appraisal from first principles and understanding development return metrics. Understanding the key components of a development project Understanding the difference between development and investment appraisals Residual Appraisals and Profit Calculations Cost orientated cash flows and phased sales Cumulative construction cost patterns: incidental, fixed, loaded and S-curve Development return metrics and Modified IRRs Module 6 - Multi-let Cash Flows Constructing an advanced multi-let cash flow model and learn different techniques to build flexible rent functions. Multi-let and portfolio model design principles Building complex date functions and date series The three multi-let rent projection techniques Perpendicular Rent Functions Incorporate advanced rent adjustments into the Rent Function Incorporate sector and period varying rental growth rates Simplifying OPEX and CAPEX projections Discounting techniques on complex and volatile cash flows Module 7 - Project Finance Constructing a flexible Real Estate Debt Finance model. Revision of the Mathematics of amortisation and debt finance Basic senior debt models and geared net cash flow LTV, IRR and Interest Rate Dynamics Flexible term, repayment options and deferred interest Loan covenant tests Understanding different tranches of debt Understanding how complex debt structures impact the returns to different parties Module 8 - Model Interpretation and Risk Analysis Learn how to read, analyse and report on real estate financial models. Understand how to read models and develop an investment narrative Visualise model outputs using graph functions, conditional formatting, dynamic symbols and dashboards Learn how to use built-in Sensitivity, Scenario Analysis tools and third-party add-ins Learn how to construct varied project scenarios in a systematic way Introduction to Monte Carlo Analysis and VBA Optimising sale dates and other parameters Create well written, attractive and persuasive reports Included in the Course Bayfield Training and University of Cambridge Accredited Certificate & LinkedIn Proficiency Badge 64 CPD Hours 1 Month Post-Course Access to the Digital Platform - 12 Months Post-Course Access to the Platform can be purchased for an additional fee Course Files Q&A Webinars and Guest Speaker Webinars Further Learning Resources (Reading, Files and Videos) Post Course Support - Two Months of Questions & Answers 2024 Cohort Dates Include: 3rd June to 29th July 5th August to 25th September 2024 30th September to 25th November For more information, please contact Sam on the Bayfield Training Sales team: E - s.musgrave@bayfieldtraining.com T - 01223 517851 W - www.bayfieldtraining.com

The Real Estate Analyst course has been taught non-stop to global real estate firms over the last 25 years, and is without doubt the core financial modelling training in your career portfolio. Whether you have an upcoming financial modelling test for a new job or an APC exam, the Real Estate Analyst course is the choice for you.

The Real Estate Investor course primarily focuses on financial modelling and commercial considerations in the real estate industry across various sectors, geographies, and project types.

Learn advanced concepts in DAX, Data Modeling, Power BI architectural design, and more.

OVERVIEW Prerequisites—DIAD training and Advanced Data Modeling and Shaping training or equivalent working experience This course has been designed specifically for experienced model developers and gives a more advanced treatment of DAX formulas than either DIAD or the PL-300 course. We recommend that attendees have prior experience working with Power BI Desktop to create data models. During this course you will review: Writing DAX formulas. Defining calculated tables and columns. Defining measures. Using DAX iterator functions. Modifying filter context. Using DAX time intelligence functions. After completing this training, the attendees should be able to work with Data Analysis Expressions (DAX), perform calculations and define common business calculations for use in reports, address performance and functionality concerns. COURSE BENEFITS: Understand Analytic queries in Power BI Create calculated tables, calculated columns and measures Use DAX functions and operators to build DAX formulas Use DAX iterator functions Create formulas that manipulate the filter context Use DAX time intelligence functions WHO IS THE COURSE FOR? Analysts with experience of Power BI wishing to develop more advanced formulas in DAX Power BI developers who wish to deepen their understanding of the process of calculating formulas so as to make development faster and more reliable LAB OUTLINE Lab 1 Setup Connect to data and understand the objectives of the future labs Lab 2 Write DAX Formulas For Power BI Create a measure Use variables in the measure definition Lab 3 Add Calculated Table And Columns Duplicate a table Create a hierarchy Create a date table Add calculated columns Lab 4 Add Measures To Power BI Desktop Models Add an implicit measure to a report Add an explicit measure Add a compound measure Add a quick measure Lab 5 Use DAX Iterator Functions In A Power BI Desktop Model Complex summarization Higher grain summarization Create ranking measure Lab 6 Modify DAX Filter Context In Power BI Desktop Models Apply Boolean expression filter Remove filters: use ALL Remove filters: use AllSelected Preserve filters: use KeepFilters HASONEVALUE ISINSCOPE Context transition Lab 7 Use DAX Time Intelligence Functions In Power BI Desktop Models TOTALYTD SAMEPERIODLASTYEAR Calculate new occurrences Snapshot calculations

Business Process Modeling This course is part of IIL's Business Analysis Certificate Program (BACP), a program designed to help prepare individuals pass the IIBA® Certification exam to become a Certified Business Analysis Professional (CBAP®). Learn more at www.iil.com/bacp A process model is a description of a process in terms of its steps or actions, the data flowing between them and participants in the process, machines, systems, and organizations involved. Modeling is a critical business analysis skill. It applies graphical and text communication techniques to describe the actions, objects, and relationships acted upon in the process and the steps that act upon them. This course teaches the technique of process modeling and ties together the core methods of process, behavior, and data modeling to enable business analysts to fully describe business processes in levels of detail from multiple perspectives. What you will Learn Upon completion, participants will be able to: Identify business processes and their components Work with UML diagrams Use process modeling in business diagramming Diagram and model business processes Foundation Concepts The role of the business analyst The IIBA® BABOK® Knowledge Areas Business Process Modeling (BPM) and the business analyst A practical approach to business process modeling The Context for Modeling Business Processes Overview of context for business process modeling Analyzing stakeholder information Modeling best practices Critical inputs for BPM: Business Rules Critical inputs for BPM: Context Diagrams Data Models Overview of data modeling Entity relationship diagrams Object-oriented approach Class diagrams Other data models Process Models - Part I (Non-UML) Overview of process modeling Data flow diagrams Workflow diagrams Flowcharts Process Models - Part II (UML) Overview of UML Process Models UML Activity Diagrams UML Sequence Diagrams Usage Models - Part I (Non-UML) Overview of usage modeling Prototyping options Static prototyping and storyboards Dynamic prototyping User Interface Design and user stories Usage Models - Part II (UML Use Cases) Overview of Use Cases Use Case diagrams Use Case descriptions Use Cases and the product life cycle Integrating the Models Overview of integrating the models General analysis best practices Specific analysis techniques summary Best practices for transition to design Summary and Next Steps What did we learn and how can we implement this in our work environments?

Business Process Modeling: In-House Training This course is part of IIL's Business Analysis Certificate Program (BACP), a program designed to help prepare individuals pass the IIBA® Certification exam to become a Certified Business Analysis Professional (CBAP®). Learn more at www.iil.com/bacp A process model is a description of a process in terms of its steps or actions, the data flowing between them and participants in the process, machines, systems, and organizations involved. Modeling is a critical business analysis skill. It applies graphical and text communication techniques to describe the actions, objects, and relationships acted upon in the process and the steps that act upon them. This course teaches the technique of process modeling and ties together the core methods of process, behavior, and data modeling to enable business analysts to fully describe business processes in levels of detail from multiple perspectives. What you will Learn Upon completion, participants will be able to: Identify business processes and their components Work with UML diagrams Use process modeling in business diagramming Diagram and model business processes Foundation Concepts The role of the business analyst The IIBA® BABOK® Knowledge Areas Business Process Modeling (BPM) and the business analyst A practical approach to business process modeling The Context for Modeling Business Processes Overview of context for business process modeling Analyzing stakeholder information Modeling best practices Critical inputs for BPM: Business Rules Critical inputs for BPM: Context Diagrams Data Models Overview of data modeling Entity relationship diagrams Object-oriented approach Class diagrams Other data models Process Models - Part I (Non-UML) Overview of process modeling Data flow diagrams Workflow diagrams Flowcharts Process Models - Part II (UML) Overview of UML Process Models UML Activity Diagrams UML Sequence Diagrams Usage Models - Part I (Non-UML) Overview of usage modeling Prototyping options Static prototyping and storyboards Dynamic prototyping User Interface Design and user stories Usage Models - Part II (UML Use Cases) Overview of Use Cases Use Case diagrams Use Case descriptions Use Cases and the product life cycle Integrating the Models Overview of integrating the models General analysis best practices Specific analysis techniques summary Best practices for transition to design Summary and Next Steps What did we learn and how can we implement this in our work environments?