microsoft excel data analysis and business modeling files

See how the data can be visualized and shared to the Power BI cloud service, after which it can be used in dashboards, queried using plain English sentences, and even consumed on mobile devices.ĭo you feel that the contents of this course is a bit too advanced for you and you need to fill some gaps in your Excel knowledge? Do you need a better understanding of how pivot tables, pivot charts and slicers work together, and help in creating dashboards? If so, check out DAT205x: Introduction to Data Analysis using Excel.ĮdX offers financial assistance for learners who want to earn Verified Certificates but who may not be able to pay the fee.

After preparing the data, find out how business calculations can be expressed using the DAX calculation engine. Learn how to import data from different sources, create mashups between data sources, and prepare data for analysis. In this data science course, you will get an introduction to the latest versions of these new tools in Excel 2016 from an expert on the Excel Product Team at Microsoft. It now includes tools that enable the analysis of more data, with improved visualizations and more sophisticated business logics. OFFSET, INDIRECT, Power View, Solver, etc.Excel is one of the most widely used solutions for analyzing and visualizing data. multiple regression, exponential smoothing, etc.) as well as advanced Excel functions (i.e. Key tools included are trend analyses (i.e. This course is hands-on, scenario-based, and involves relational data base construction and integration including use of Pivot Tables and Descriptive Statistics. Students learn business modeling and analysis techniques with Microsoft Excel with the ultimate objective of transforming data and modeling assumptions into key metrics as well as bottom-line results of forecasts, simulations, and sensitivity analyses. This course provides a thorough working knowledge of a “best practice” platform meeting many organizational and project analytical needs. Market researchers, project managers, business analysts, economists, financial professionals, budgeters, venture capitalists, investment bankers, corporate treasurers, and operations heads are just a few examples of positions requiring a working knowledge of forecasting, evaluation, and analysis modeling.

Microsoft excel data analysis and business modeling files