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Data Analysis Using Excel

Course Code: XLT-0001


  •   Access to course content
  •   No access to labs
  •   Certificate not included


  •   Access to course content
  •   Access to all course labs
  •   Blockchain Enabled Certificate
  •   and Badges

About This Course

Microsoft Excel is a very widely used tool with many organizations and departments and being able to produce a quick analysis is an asset. This course provides participants with the knowledge and skills to work with and analyze data and work with business cases using Microsoft Excel. The objective is to familiarize the participants with the fundamentals of how to manage, transform and analyze data using the various functions in Excel.

This course should be attended by those who want to learn data storytelling using excel as a platform. Applicable to students, working professionals and PMETs.


Quarter 2: May 19-20
Quarter 3: August 18-19
Quarter 4: November 21-22


This course requires a basic understanding of Excel. Participants who do not have the basic knowledge are encouraged to get an idea of Microsoft Excel prior to this course.

What you'll learn

In this course, you will learn how to:
  • Basic Functions of MS-Excel
  • Analyzing Data using Excel
  • Referencing Data in Worksheets
  • Data Transformation using Text-to-Column
  • Analysis in Excel Tables
  • Getting Insights using Charts
  • Accessing data using Pivot Tables
  • Automation using Power Query

Course Staff

Course Staff Image #1

Vadhavkar Aarushi Amol

Aarushi has over 10 years of experience in IT industry in various domains Banking & Finance, Retail, E-commerce, and Education. She had worked with various clients like Lazada, Grab, UOB, Standard Chartered, British Petroleum, Infosys, and Economic Development Board. She holds a Masters in Computer Management, and a Bachelor’s degree in Science.

Her expertise lies in problem solving, and success in delivering projects and trainings with the highest level of customer satisfaction.

Currently, Aarushi is working with Xaltius Pte. Ltd., as a Data Science Trainer. She is associated with the various corporate and non-corporate trainings. Prior to this, she has worked as a Faculty/Trainer in an academic setting and has conducted classroom sessions on Word, Excel, Visual Basic, and Java.

Apart from her professional work, Aarushi also has a passion for educating others on various technologies and in data analysis.

Course Details

  1. Classes Start

  2. Estimated Effort

    Quarter 2: May 19-20, Quarter 3: August 18-19, Quarter 4: November 21-22
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