6442 Finance courses

Dashboards will summarize and present the key indications of large data in an attractive visual display, hightlighting the most important trends so the most imporatnf aspects of data could could be seen in a snap second by glancing at attractive, colourful charts. PowerPivot helps analyze the data and brings new capabilities to business users to analyse, explore and gain new insight into business and marketing data. Power Pivot help analyze and understand the growing quantities of data that are created on a daily basis.

For Excel users. Extend the capabilities of Excel with Macros and VBA code.

Enhance your knowledge of economic and financial analysis in renewable energy storage and hydrogen with EnergyEdge's course. Enroll now!

Discover Power BI business data analytics through EnergyEdge's course. Enhance your skills and gain valuable insights for your business.

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 to assess, design, and monitor solar PV power plants with EnergyEdge's comprehensive training. Master PVsyst software for bankable system simulations.

Enhance your skills in cost estimation and analysis of well abandonment activities with EnergyEdge's comprehensive course. Join now!

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.

Duration 2 Days 12 CPD hours This course is intended for This course is intended for business users who have been using Power BI to build analytic solutions and are ready to take advantage of the power and flexibility that DAX provides. Learning DAX is a very common 'next step' for experienced Power BI users. Overview At course completion, you should be able to describe DAX syntax, data types, and errors use DAX to create calculated columns, measures, and tables explain how DAX calculations are evaluated, along with the differences between row context and filter context configure and use Time Intelligence to perform common time-based calculations, for example to-date calculations, year-over-year analysis, moving averages, etc. create calculated columns and measures that use data from multiple tables in the data model write measures that handle error conditions gracefully use DAX to enhance the Power BI user experience use DAX Studio to connect to a Power BI data model and execute simple queries Welcome to Introduction to DAX for Power BI. This two-day instructor-led course is intended for business users who have been using Power BI and want to use DAX to create custom calculations in their data models. In this class, you will be introduced to using Data Analysis Expressions (DAX), which is the expression language that is used to create custom calculations in the Power BI Data model. The course covers some of the theoretical underpinnings of the data model and the DAX language, but the emphasis is on using DAX to solve common business problems. You will learn how to write your own calculated columns, measures, and tables, how to visualize the way Power BI computes DAX calculations, and how to troubleshoot custom code. MODULE 1: GETTING STARTED WITH DAX INTRODUCTION TODAX CREATING OBJECTS WITHDAX CONTEXT AND RULES OF EVALUATION VARIABLES,COMMENTS,AND TESTING MODULE 2: PERFORMING BASIC CALCULATIONS GETTING STARTED IMPLICIT MEASURES ADDING QUICK MEASURES WORKING WITH DAX DATA TYPES . DOING BASIC MATH USING LOGIC IN YOUR CALCULATIONS USING THE IF() FUNCTION NESTED IF() USING THE SWITCH() FUNCTION ADVANCED SWITCH() LOGICAL OPERATORS & FUNCTIONS: ||, OR(), &&, AND(), NOT() AGGREGATING AND SUMMARIZING DATA THE SUM() FUNCTION MODULE 3: WORKING WITH CONTEXT IN THE DATA MODEL CONTEXT DEFINED DATA MODELING BASICS INTRODUCTION TO DIMENSIONAL MODELING RELATIONSHIPS AND THEIR EFFECT ON THE EVALUATION CONTEXT GETTING DATA FROM OTHER TABLES USING RELATED() AND RELATEDTABLE LOOKING UP DATA WITHOUT USING RELATIONSHIPS MODIFYING THE CONTEXT USING CALCULATE() MODULE 4: PERFORMING MORE ADVANCED CALCULATIONS THE DAX ITERATOR FUNCTIONS USING TABLE MANIPULATION FUNCTIONS MODULE 5: WORKING WITH TIME PERFORMING DATE CALCULATIONS WORKING WITH DATE TABLES GENERATING A DATE TABLE WITH THE CALENDAR() FUNCTION DEFINING CUSTOM OPERATING PERIODS YTD, QTD, AND MTD CALCULATIONS CUSTOM TO-DATE CALCULATIONS FINDING YEAR-OVER-YEAR CHANGE FINDING MOVING AVERAGES MODULE 6: ENHANCING THE USER EXPERIENCE CONTROLLING VISIBILITYOF YOUR MEASURES USING WHAT-IF PARAMETERS ADDING BANDING USING DAX TO PROVIDE ROW-LEVEL SECURITY

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