Rice University
Introduction to Data Analysis Using Excel
Rice University

Introduction to Data Analysis Using Excel

Sharad Borle

Instructor: Sharad Borle

242,454 already enrolled

Course

Gain insight into a topic and learn the fundamentals

4.7

(9,869 reviews)

19 hours (approximately)
Flexible schedule
Learn at your own pace

Skills you'll gain

  • Category: Lookup Table
  • Category: Data Analysis
  • Category: Microsoft Excel
  • Category: Pivot Table

Details to know

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Quizzes and assessments

25 quizzes, 4 assessments

English
Subtitles: Tamil, Arabic,

Course

Gain insight into a topic and learn the fundamentals

4.7

(9,869 reviews)

19 hours (approximately)
Flexible schedule
Learn at your own pace

Build your subject-matter expertise

This course is part of the Business Statistics and Analysis Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 4 modules in this course

Introduction to spreadsheets, reading data, manipulating data. Basic spreadsheet operations and functions.

What's included

8 videos5 readings6 quizzes

Introduction to some more useful functions such as the IF, nested IF, VLOOKUP and HLOOKUP functions in Excel.

What's included

8 videos7 quizzes

Introduction to the Data filtering capabilities of Excel, the construction of Pivot Tables to organize data and introduction to charts in Excel.

What's included

7 videos6 quizzes

Constructing various Line, Bar and Pie charts. Using the Pivot chart features of Excel. Understanding and constructing Histograms and Scatterplots.

What's included

7 videos1 reading6 quizzes

Instructor

Instructor ratings
4.7 (2,141 ratings)
Sharad Borle
Rice University
8 Courses287,943 learners

Offered by

Rice University
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Learner reviews

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4.7

9,869 reviews

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  • 3 stars

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  • 2 stars

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  • 1 star

    0.61%

JM
4

Reviewed on Apr 20, 2022

SR
5

Reviewed on Jun 23, 2019

AA
5

Reviewed on Dec 5, 2020

Recommended if you're interested in Data Science

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