Excel Fundamentals for Data Analysis

  • 4.8
Approx. 15 hours to complete

Course Summary

Learn how to use Microsoft Excel for data analysis in this comprehensive course. From basic functions to advanced techniques, you'll gain the skills to manipulate and visualize complex data sets.

Key Learning Points

  • Understand the basics of Excel functions and formulas
  • Learn how to organize and clean data for analysis
  • Explore techniques for visualizing and presenting data
  • Discover advanced Excel features such as pivot tables and macros

Job Positions & Salaries of people who have taken this course might have

  • Data Analyst
    • USA: $60,000 - $120,000
    • India: ₹350,000 - ₹1,200,000
    • Spain: €24,000 - €48,000
  • Financial Analyst
    • USA: $50,000 - $90,000
    • India: ₹300,000 - ₹1,000,000
    • Spain: €22,000 - €40,000
  • Marketing Analyst
    • USA: $50,000 - $90,000
    • India: ₹300,000 - ₹1,000,000
    • Spain: €22,000 - €40,000

Related Topics for further study


Learning Outcomes

  • Master Excel for data analysis
  • Manipulate and visualize complex data sets
  • Apply advanced Excel features to improve efficiency

Prerequisites or good to have knowledge before taking this course

  • Basic computer skills
  • Access to Microsoft Excel

Course Difficulty Level

Beginner to Intermediate

Course Format

  • Self-paced
  • Online

Similar Courses

  • Data Analysis in Excel
  • Excel Skills for Business

Related Education Paths


Related Books

Description

As data becomes the modern currency, so the ability to analyse the data quickly and accurately has become of paramount importance. Excel with its extraordinarily broad range of features and capabilities is one of the most widely used programs for doing this. In the first course of our Excel Skills for Data Analysis and Visualization Specialization, you will learn the fundamentals of Excel for data analysis. When you have completed the course, you will be able to use a range of Excel tools and functions to clean and prepare data for analysis; automate data analysis with the help of Named Ranges and Tables; and use logical and lookup functions to transform, link and categorise data.

Knowledge

  • Use Excel tools and functions to clean and prepare data for analysis.
  • Use Named Ranges and Tables to automate your analysis.
  • Understand the different types of data in Excel and use appropriate functions to work with them.
  • Use logical and lookup functions to transform, link and categorise data.

Outline

  • Welcome and critical information
  • Course Introduction
  • Welcome to Excel Fundamentals for Data Analysis
  • Course goals and weekly learning objectives
  • Important information about versions and regions
  • Cleaning and manipulating text
  • Week 1 Introduction
  • Excel functions for combining text values
  • Functions that split text data
  • Combining text functions
  • Cleaning data and changing case
  • Removing and replacing text characters
  • Read me before you start: Quizzes and Navigation
  • Download the Week 1 workbooks
  • Week 1 Practice Challenge
  • Week 1 Toolbox
  • Excel functions for combining text values
  • Functions that split text data
  • Combining text functions
  • Cleaning data and changing case
  • Removing and replacing text characters
  • Cleaning and manipulating text: Test your skills
  • Working with numbers and dates
  • Week 2 Introduction
  • Converting Data with VALUE and TEXT
  • Understanding dates and basic date functions
  • Generating Valid Dates using the DATE function
  • Calculations with Dates and using DAYS, NETWORKDAYS and WORKDAY
  • More sophisticated date calculations with EOMONTH and EDATE
  • Download the Week 2 workbooks
  • Week 2 Practice Challenge
  • Week 2 Toolbox
  • Converting Data with VALUE and TEXT
  • Understanding dates and basic date functions
  • Generating Valid Dates using the DATE function
  • Calculations with Dates and using DAYS, NETWORKDAYS and WORKDAY
  • More sophisticated date calculations with EOMONTH and EDATE
  • Working with numbers and dates: Test your skills
  • Defined Names for working more effectively with data
  • Week 3 Introduction
  • Cell Referencing and Naming
  • Defined Names and Create from Selection
  • Managing Names
  • Calculations with Named Ranges
  • Automating Data Validation with Named Ranges
  • Download the Week 3 workbooks
  • Week 3 Practice Challenge
  • Week 3 Toolbox
  • Cell Referencing and Naming
  • Defined Names and Create from Selection
  • Managing Names
  • Calculations with Named Ranges
  • Automating Data Validation with Named Ranges
  • Defined Names for working more effectively with data: Test your skills
  • Tables for automating data manipulation
  • Week 4 Introduction
  • Introduction to Tables
  • Customising Tables
  • Sorting and Filtering Tables
  • Table Calculations and Structured References
  • Automation with Tables
  • Download the Week 4 workbooks
  • Week 4 Practice Challenge
  • Week 4 Toolbox
  • Introduction to Tables
  • Customising Tables
  • Sorting and Filtering Tables
  • Table Calculations and Structured References
  • Automation with Tables
  • Tables for automating data manipulation: Test your skills
  • Logical and lookup functions
  • Week 5 Introduction
  • Apply logical operations to data using IF
  • Nested IF, AND and OR
  • Categorising data with VLOOKUP
  • Matching data with VLOOKUP and XLOOKUP
  • Power Lookups with INDEX and MATCH
  • Download the Week 5 workbooks
  • Week 5 Practice Challenge
  • Week 5 Toolbox
  • Apply logical operations to data using IF
  • Nested IF, AND and OR
  • Categorising data with VLOOKUP
  • Matching data with VLOOKUP and XLOOKUP
  • Power Lookups with INDEX and MATCH
  • Logical and lookup functions: Test your skills
  • Final assessment
  • Final assessment

Summary of User Reviews

This Excel Data Analysis Fundamentals course on Coursera has received positive reviews from many users. The course covers various aspects of data analysis using Excel and has been praised for its detailed explanations and practical exercises. Overall, users have found it to be a helpful and informative course for learning Excel data analysis.

Key Aspect Users Liked About This Course

The course is well-structured and provides clear explanations of concepts and practical exercises to reinforce learning.

Pros from User Reviews

  • Detailed explanations of concepts
  • Practical exercises to reinforce learning
  • Well-structured course
  • Good pacing and progression
  • Helpful instructor

Cons from User Reviews

  • Some users found the course too basic
  • Not enough advanced topics covered
  • Not suitable for experienced Excel users
  • Some technical issues with the platform
  • No real-world examples provided
English
Available now
Approx. 15 hours to complete
Nicky Bull, Dr Prashan S. M. Karunaratne
Macquarie University
Coursera

Instructor

Nicky Bull

  • 4.8 Raiting
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