Excel Basics for Data Analysis

  • 4.7
Approx. 12 hours to complete

Course Summary

Learn the basics of Excel and data analysis through this course by IBM. Gain skills in sorting and filtering data, creating pivot tables and charts, and using functions to analyze data.

Key Learning Points

  • Learn the basics of Excel and data analysis
  • Gain skills in sorting and filtering data
  • Create pivot tables and charts
  • Use functions to analyze data
  • Gain practical experience through hands-on exercises

Related Topics for further study


Learning Outcomes

  • Ability to use Excel for data analysis
  • Proficiency in sorting and filtering data
  • Ability to create pivot tables and charts

Prerequisites or good to have knowledge before taking this course

  • Basic computer skills
  • Access to Microsoft Excel

Course Difficulty Level

Beginner

Course Format

  • Self-paced
  • Online

Similar Courses

  • Data Analysis with Excel
  • Business Analytics Fundamentals

Related Education Paths


Related Books

Description

This course is designed to provide you with basic working knowledge for using Excel spreadsheets for Data Analysis. It covers some of the first steps for working with spreadsheets and their usage in the process of analyzing data. It includes plenty of videos, demos, and examples for you to learn, followed by step-by-step instructions for you to apply and practice on a live spreadsheet.

Outline

  • Introduction to Data Analysis Using Spreadsheets
  • Course Introduction
  • Introduction to Spreadsheets
  • Spreadsheet Basics - Part 1
  • Spreadsheet Basics - Part 2
  • Viewpoints: Using Spreadsheets as a Data Analysis Tool
  • Summary and Highlights
  • Practice Quiz
  • Graded Quiz
  • Getting Started with Using Excel Speadsheets
  • Viewing, Entering, and Editing Data
  • Copying, Filling, and Formatting Cells and Data
  • The Basics of Formulas
  • Intro to Functions
  • Referencing Data in Formulas
  • Summary and Highlights
  • Practice Quiz
  • Graded Quiz
  • Cleaning & Wrangling Data Using Spreadsheets
  • Introduction to Data Quality
  • Importing File Data
  • Basics of Data Privacy
  • Viewpoints: Data Quality and Privacy
  • Removing Duplicated or Inaccurate Data and Empty Rows
  • Dealing with Inconsistencies in Data
  • More Excel Features for Cleaning Data
  • Viewpoints: Issues with Data Quality
  • Summary and Highlights
  • Summary and Highlights
  • Practice Quiz
  • Graded Quiz
  • Practice Quiz
  • Graded Quiz
  • Analyzing Data Using Spreadsheets
  • Intro to Analyzing Data Using Spreadsheets
  • Filtering and Sorting Data in Excel
  • Viewpoints: Filtering and Sorting
  • Useful Functions for Data Analysis
  • Using VLOOKUP and HLOOKUP Functions
  • Introduction to Creating Pivot Tables in Excel
  • Viewpoints: Pivot Tables
  • Pivot Table Features
  • Summary and Highlights
  • Summary and Highlights
  • Practice Quiz
  • Graded Quiz
  • Practice Quiz
  • Graded Quiz
  • Final Project
  • Congratulations and Next Steps
  • Course Credits and Acknowledgements

Summary of User Reviews

The Excel Basics for Data Analysis course by IBM on Coursera has received positive reviews from many users. The course has been praised for its comprehensive coverage of the topic and interactive content. Overall, users have found this course to be a valuable resource for learning Excel basics and data analysis.

Key Aspect Users Liked About This Course

The interactive content is a key aspect of the course that many users have found helpful.

Pros from User Reviews

  • Comprehensive coverage of Excel basics and data analysis
  • Interactive content including quizzes, exercises and projects
  • Suitable for beginners with no prior knowledge of Excel
  • Flexible learning schedule with self-paced videos and assignments

Cons from User Reviews

  • Some users found the course material to be too basic
  • Limited interaction with instructors and other students
  • No certificate of completion for free users
  • Course content may not be sufficient for advanced users
English
Available now
Approx. 12 hours to complete
Sandip Saha Joy, Steve Ryan
IBM
Coursera

Instructor

Sandip Saha Joy

  • 4.7 Raiting
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