Excel for Data Science for Beginners

Part-time

Excel for Data Science for Beginners

Great Learning
Great Learning
  • 1st year fees
  • CREDITS
  • Online
    BASED
  • Short Course
    DEGREE

Introduction

Excel for Data Science for Beginners is a Short Course program taught at Great Learning, Web, Online. The program is offered in online modes with part-time options. After completion of Excel for Data Science for Beginners you will be able to further continue for advance studies or start career as Data Analyst.

What you learn in Excel for Data Science for Beginners ?

tickDate and TimetickAggregationtickLookupstickPivot TablestickErrors in Excel

About this Free Certificate Course

This beginner-level course on Excel for Data Science is designed to help you learn Excel fundamentals to work for Data Science tasks. The course introduces you to Excel and then discusses navigation, rows, columns, and cell concepts in Excel. It then demonstrates basic mathematical operations, aggregation, and date and time functions in Excel. It explains lookups, filtering, sorting, and pivot operations with demonstration and discusses different types of errors in the latter part of this course. Qualify in the quiz and earn a course completion certificate for Excel for Data Science course. 


After this free, beginner-level Excel for Data Science course, continue to learn in the Data Science domain. The Great Learning platform provides advanced-level Data Science courses covering all the concepts in depth to benefit your career.

Admission Requirements

The minimum requirements for admission in Excel for Data Science for Beginners at Great Learning for all applicants (Domestic or International) are:

  • program specific academic requirment set by Great Learning.
  • English Language OR any other language requirments as set by Great Learning as pre-requiste for admission in Excel for Data Science for Beginners.

Note: Please check the university website in the link below.

Career Opportunities

You can join one of the following careers:

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