Analyzing and Visualizing Data with Excel




  • 開課機構: 財團法人資訊工業策進會-微軟專業學程MPP
  • 開課平台: 資策會-數位學習平台
  • 講師介紹: Dany Hoter & Jonathan Sanito

  • Dany Hoter

    Solutions Architect DataRails

    Dany Hoter is a solutions architect with DataRails, a startup company that adds enterprise abilities to Excel. He has been involved with business intelligence (BI), Excel, and BI in Excel since 1998. Previously, he worked for Microsoft as a Program Manager in the Excel team. Dany is very passionate about educating Excel users and is happy to connect on LinkedIn.

    Jonathan Sanito

    Senior Content Developer Microsoft

    Jonathan works as a content developer and project manager for Microsoft focusing in Data and Analytics online training. He has worked with trainings for developer and IT pro audiences, from Microsoft Dynamics NAV to Windows Active Directory.

    Before coming to Microsoft, Jonathan worked as a consultant for a Microsoft partner, implementing Microsoft Dynamics NAV solutions.


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    課程簡介

    About this course

    This course is part of the Microsoft Professional Program Certificate in Big Data, and the Microsoft Professional Program Certificate in Data Science.

    Excel is one of the most widely used solutions for analyzing and visualizing data. It now includes tools that enable the analysis of more data, with improved visualizations and more sophisticated business logics. 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.

    Learn how to import data from different sources, create mashups between data sources, and prepare data for analysis. After preparing the data, find out how business calculations can be expressed using the DAX calculation engine. 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.

    Do 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.

    This course is also a part of the Microsoft Excel for the Data Analyst XSeries

    課程目標

    What you'll learn
    •Gather and transform data from multiple sources
    •Discover and combine data in mashups
    •Learn about data model creation
    •Explore, analyze, and visualize data

    先備知識

    Understanding of Excel analytic tools such as tables, pivot tables and pivot charts. Also, some experience in working with data from databases and also from text files will be helpful.