Trainings By Informa Markets

Certified Microsoft Power BI & Data Analytics Workshop

21 Sep - 23 Sep 2021   |   Virtual Course

Course Overview

Power BI is a business analytics solution that helps you visualize your data, share insights across your organization or embed them in your app or website. In this section, you will get more information about the Power BI software and how it functions.

This workshop will help to understand how to use Power BI and Data Analytics by applying the concepts taught to a real business situation. A real-life case study will help you examine how the analysis of Sales and Expenses can become more efficient, dynamic and advanced by using Microsoft''s Power BI and Power Pivot vs. more “traditional” methods of Excel analysis (pivots, vlookupsetc). We will demonstrate how to avoid time-consuming and repetitive data manipulation, allowing us to focus on more important aspects and explore the new capabilities Excel has to o??er to improve the quality of our analysis. Additionally, we will introduce the use of DAX (Data Analysis Expressions) functions for simple and complex calculations. (Basic DAX functions (Aggregate, Logical, Table and Relational Functions), Time Intelligence Functions and Calculations, Calculate, Practice Implementation of DAX Functions with Examples).

Benefits of Attending

Learn how to install and use Power Query, Power Pivot and Power BI and realize the differences depending on your version of Microsoft Excel.

Produce valuable measures for your firm and advance your analysis by incorporating the power of Data Model into your day-to-day data analysis.

Automate data import from various sources and create relationships in your data model.

Learn how Excel and Power BI are better-together to perform advanced business analysis.

Learn the latest Microsoft tools to analyze data more efficientlyand present it in the best possible way.

Upgrade your Excel knowledge by learning best practices in data analytics using Power Query, Power Pivot and Power BI.

Who Should Attend?

  • Business & Financial Analysts
  • CFOs & Finance Managers
  • Risk Managers and Portfolio Managers
  • Financial Controllers and Accountants
  • Project Managers and Risk Analysts
  • Corporate Finance and Business Development Professionals
  • Finance, Budgeting & Accounting staff
  • Heads of Business Units & Business Planners
  • BI Consultants and analysts
  • Business Intelligence Manager
  • Data Scientists
  • Marketing, Finance, Sales, and other domain individuals who need extensive business intelligence

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