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Analyzing and Visualizing Data with Excel

This course sheds light on advanced concepts and topics of data analytics and visualization in Microsoft Excel.


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24 Hours

Course Duration

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This course sheds light on advanced concepts and topics of data analytics and visualization in Microsoft Excel.

Course Information

About this Course:

This intermediate-level course is specifically designed for IT Professionals and Experts striving to learn more about Excel Data Analytics and Visualization Tools. This course provides a comprehensive overview of Microsoft Excel's core features and functionalities for analyzing business data and creating compelling visualizations. Professionals get to learn about Data Importation from Multiple Sources, Databases, and File Systems. Besides this, Developing Mash-Ups, Data Collection & Exploration, and Data Analysis & Visualizations are also elaborated in detail.

This course sheds light on advanced concepts and topics of data analytics and visualization in Microsoft Excel. Through this course, candidates can learn the art of utilizing data and information to help businesses maximize productivity and identify loopholes and weaknesses.

Course Objectives:

The core objective of this course is to help professionals develop a better understanding and sound knowledge of the following key concepts:

  • Multiple Sources Data Collection and Transformation
  • Microsoft Excel CSV File and Databases Data Importation
  • Data Table Development and Mash-Ups Creation in Microsoft Excel
  • Advanced DAX Functions Applications and Formatting Solutions and Practices
  • Formatted Excel Report Data Importation
  • Data Discovery and Combination
  • Data Model Development Essentials and Core Concepts
  • Data Exploration, Analysis, and Visualization on Microsoft Excel
  • Fundamentals and Essentials of Excel Power BI and Mobile Application


  • IT Professionals and Microsoft Excel Experts
  • Candidates striving to learn Excel Data Analytics
  • Professionals regularly working with a bulk of Business Data


Professionals planning to enroll in the Analyzing and Visualizing Data with Excel Course must comply with the following prerequisites:

  • Conceptual Understanding of Excel Analytic Tools
  • Familiarity with Excel Tables, Pivot Charts, and Pivot Tables
  • Practical Experience of working in a Data Environment

System Requirements:

  • Windows 7 or Later Operating System
  • Microsoft Excel 2016 Professional Plus
  • Microsoft Excel 2013 Professional Plus
  • Microsoft Excel 2010


More Information

More Information
SubjectsBusiness Productivity
Lab AccessNo
Learning StyleSelf-Paced Learning
Learning TypeCourse
Course Duration24 Hours
VPA DiscountVPA Discount


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Tom Robertson
(Data Science Enthusiast)

Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.

Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.

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