66 Data Modeling courses

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 [https://www.bayfieldtraining.com/]

Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course is people who are moving into a database role, or whose role has expanded to include database technologies. Developers that deliver content from SQL Server databases will also benefit from this material. Overview After completing this course, you will be able to: Describe key database concepts in the context of SQL Server Describe database languages used in SQL Server Describe data modelling techniques Describe normalization and denormalization techniques Describe relationship types and effects in database design Describe the effects of database design on performance Describe commonly used database objects This course is provided as an introductory class for anyone getting started with databases. It will be useful to programmers and other IT professionals whose job roles are expanding into database management. Students will learn fundamental database concepts through demonstrations and hands-on labs on a SQL Server instance. This material updates and replaces course Microsoft course 10985 which was previously published under the same title. MODULE 1: INTRODUCTION TO DATABASES * Introduction to Relational Databases * Other Databases and Storage * Data Analysis * SQL Server Database Languages MODULE 2: DATA MODELING * Data Modelling * Designing a Database * Relationship Modeling MODULE 3: NORMALIZATION * Fundamentals of Normalization * Normal Form * Denormalization MODULE 4: RELATIONSHIPS * Introduction to Relationships * Planning Referential Integrity MODULE 5: PERFORMANCE * Indexing * Query Performance * Concurrency MODULE 6: DATABASE OBJECTS * Tables * Views * Stored Procedures, Triggers and Functions

Duration 1 Days 6 CPD hours This course is intended for The Power BI in a Day course is designed for beginners and intermediate users of Power BI. Overview #NAME? Students will discover the full capabilities of Power BI in a one-day, hands-on workshop. Please Note: This workshop is primarily self-directed and students will work at their own pace while having access to an instructor for questions. 1 - ACCESSING & PREPARING DATA * Data Set * Power BI Desktop * Power BI Desktop ? Accessing Data * Power BI Desktop ? Data Preparation 2 - DATA MODELING AND EXPLORATION * Power BI Desktop ? Data Modeling and Exploration * Power BI Desktop ? Data Exploration Continued * References 3 - DATA VISUALIZATION * Power BI Desktop * Power BI Desktop ? Data Visualization * References 4 - PUBLISHING & ACCESSING REPORTS * Power BI Desktop ? Creating Mobile View * Power BI Service * Power BI Service ? Publishing Report * Power BI Mobile ? Accessing Report on Mobile Device * Power BI Service ? Collaboration and Distribution * References 5 - DASHBOARD AND COLLABORATION * Power BI Service * Building Dashboard * References ADDITIONAL COURSE DETAILS: Nexus Humans Power BI: Dashboard in a Day training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Power BI: Dashboard in a Day course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

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

Duration 1 Days 6 CPD hours This course is intended for The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Overview Describe core data concepts Identify considerations for relational data on Azure Describe considerations for working with non-relational data on Azure Describe an analytics workload on Azure In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about large-scale data warehousing, real-time analytics, and data visualization. 1 - EXPLORE CORE DATA CONCEPTS * Identify data formats * Explore file storage * Explore databases * Explore transactional data processing * Explore analytical data processing 2 - EXPLORE DATA ROLES AND SERVICES * Explore job roles in the world of data * Identify data services 3 - EXPLORE FUNDAMENTAL RELATIONAL DATA CONCEPTS * Understand relational data * Understand normalization * Explore SQL * Describe database objects 4 - EXPLORE RELATIONAL DATABASE SERVICES IN AZURE * Describe Azure SQL services and capabilities * Describe Azure services for open-source databases 5 - EXPLORE AZURE STORAGE FOR NON-RELATIONAL DATA * Explore Azure blob storage * Explore Azure DataLake Storage Gen2 * Explore Azure Files * Explore Azure Tables 6 - EXPLORE FUNDAMENTALS OF AZURE COSMOS DB * Describe Azure Cosmos DB * Identify Azure Cosmos DB APIs 7 - EXPLORE FUNDAMENTALS OF LARGE-SCALE DATA WAREHOUSING * Describe data warehousing architecture * Explore data ingestion pipelines * Explore analytical data stores 8 - EXPLORE FUNDAMENTALS OF REAL-TIME ANALYTICS * Understand batch and stream processing * Explore common elements of stream processing architecture * Explore Azure Stream Analytics * Explore Apache Spark on Microsoft Azure 9 - EXPLORE FUNDAMENTALS OF DATA VISUALIZATION * Describe Power BI tools and workflow * Describe core concepts of data modeling * Describe considerations for data visualization

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.

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

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.

OVERVIEW DIAD is a one-day, hands-on workshop for business analysts, covering the breadth of Power BI capabilities. The course focuses on five practical Labs and at the end of the day, attendees will better understand how to: * Connect and transform data from a variety of data sources. * Define business rules and KPIs. * Explore data with powerful interactive visuals. * Build stunning reports. * Share their dashboards with their team business partners and publish them to the web. The course content is managed by the Power BI engineering team at Microsoft. There is no exam associated with the course. COURSE BENEFITS: * Learn how to clean, transform, and load data from various sources * Create and manage a data model in Power BI consisting of multiple tables connected with relationships * Build Measures and other calculations in the DAX language to plot in reports * Manage and share report assets to the Power BI Service WHO IS THE COURSE FOR? * Data Analysts and Management Consultants with little or no experience of Power BI who wish to upgrade their knowledge to include Business Intelligence * Analysts looking for a quick introduction to Power BI who don’t have the time for the full three day  PL-300 course * Marketers in data-intensive organisations who need new tools to build visually appealing, dynamic charts for their stakeholders to use LAB OUTLINE Lab 1 Accessing & Preparing The Data * Load data from Excel and CSV sources * Manipulate the data to prepare it for reporting * Prepare tables in Power Query and load them into the data model Lab 2 Data Modelling And Exploration * Create a range of different charts * Highlight and cross-filter * Create new groups and hierarchies * Add new measures to the model Lab 3 Data Visualization * Add conditional formatting to a report * Add logos to a filter * Import a custom visual * Apply a custom theme * Add bookmarks to the report to tell a story Lab 4 Publishing A Report And Creating A Dashboard * Create a Workspace in the Power BI Service * Publish a report to the Service * Create a Dashboard and pin visuals to it * Generate and view insights Lab 5 Collaboration * Share a Dashboard * Access a Dashboard on a Mobile Device

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.