Introduction to Data Analysis Using Excel (Coursera)

Offered by Rice University,
Introduction to Data Analysis Using Excel (Coursera)

The use of Excel is widespread in the industry. It is a very powerful data analysis tool and almost all big and small businesses use Excel in their day to day functioning. This course is designed to give you a working knowledge of Excel with the aim of getting to use it for more advance topics in Business Statistics. The course is designed keeping in mind two kinds of learners - those who have very little functional knowledge of Excel and those who use Excel regularly but at a peripheral level and wish to enhance their skills.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

The course takes you from basic operations such as reading data into excel using various data formats, organizing and manipulating data, to some of the more advanced functionality of Excel. All along, Excel functionality is introduced using easy to understand examples which are demonstrated in a way that learners can become comfortable in understanding and applying them.
Course 1 of 5 in the Business Statistics and Analysis Specialization.

Syllabus

WEEK 1
Introduction to Spreadsheets
Introduction to spreadsheets, reading data, manipulating data. Basic spreadsheet operations and functions.
In this module, you will be introduced to the use of Excel spreadsheets and various basic data functions of Excel.
Topics covered include:
• Reading data into Excel using various formats
• Basic functions in Excel, arithmetic as well as various logical functions
• Formatting rows and columns
• Using formulas in Excel and their copy and paste using absolute and relative referencing

WEEK 2
Spreadsheet Functions to Organize Data
Introduction to some more useful functions such as the IF, nested IF, VLOOKUP and HLOOKUP functions in Excel.
This module introduces various Excel functions to organize and query data. Learners are introduced to the IF, nested IF, VLOOKUP and the HLOOKUP functions of Excel.
Topics covered include:
• IF and the nested IF functions
• VLOOKUP and HLOOKUP
• The RANDBETWEEN function

WEEK 3
Introduction to Filtering, Pivot Tables, and Charts
Introduction to the Data filtering capabilities of Excel, the construction of Pivot Tables to organize data and introduction to charts in Excel.
This module introduces various data filtering capabilities of Excel. You’ll learn how to set filters in data to selectively access data. A very powerful data summarizing tool, the Pivot Table, is also explained and we begin to introduce the charting feature of Excel.
Topics covered include:
• VLOOKUP across worksheets
• Data filtering in Excel
• Use of Pivot tables with categorical as well as numerical data
• Introduction to the charting capability of Excel

WEEK 4
Advanced Graphing and Charting
Constructing various Line, Bar and Pie charts. Using the Pivot chart features of Excel. Understanding and constructing Histograms and Scatterplots.
This module explores various advanced graphing and charting techniques available in Excel. Starting with various line, bar and pie charts we introduce pivot charts, scatter plots and histograms. You will get to understand these various charts and get to build them on your own.
Topics covered include
• Line, Bar and Pie charts
• Pivot charts
• Scatter plots
• Histograms

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Analytics in Healthcare Management and Administration (Coursera) Coursera
Northeastern University

Analytics in Healthcare Management and Administration (Coursera)

This course is the continuation of Healthcare Analytics Essentials . If you have not yet taken the Healthcare Analytics Essentials course, it is recommended that you complete that course prior to this course. The foundational knowledge to support the project are carried through in this deeper dive into using healthcare analytics in management and administration.

Sep 14th 2026
4 Weeks
Excel Modeling for Professionals: Best Practices & Pitfalls (Coursera) Coursera
Delft University of Technology,Erasmus University Rotterdam

Excel Modeling for Professionals: Best Practices & Pitfalls (Coursera)

Through this course learners will gain the tools to decide whether or not Excel is the right software to use. They will learn how to set up good input data, format correctly, and the importance of good documentation. Learners will gain the ability to discern between different functions, to understand the pitfalls and strengths of commonly used functions, and to apply correct functions to their excel models. Those that follow the course will also gain understanding of logical spreadsheet structure, graphs and reporting, and protection and hidden information in Excel, and users will learn how to apply these things to their own models.

Sep 14th 2026
4 Weeks
Interprofessional Healthcare Informatics (Coursera) Coursera
University of Minnesota

Interprofessional Healthcare Informatics (Coursera)

Interprofessional Healthcare Informatics is a graduate-level, hands-on interactive exploration of real informatics tools and techniques offered by the University of Minnesota and the University of Minnesota's National Center for Interprofessional Practice and Education. We will be incorporating technology-enabled educational innovations to bring the subject matter to life. Over the 10 modules, we will create a vital online learning community and a working healthcare informatics network.

Sep 14th 2026
5-12 Weeks
Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话) (Coursera) Coursera
The Chinese University of Hong Kong

Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话) (Coursera)

在社会学、心理学、教育学、经济学、管理学、市场学等研究领域的数据分析中,结构方程建模是当前最前沿的统计方法中应用最广、研究最多的一个。它包含了方差分析、回归分析、路径分析和因子分析,弥补了传统回归分析和因子分析的不足,可以分析多因多果的联系、潜变量的关系,

Sep 14th 2026
5-12 Weeks
Mathematical Biostatistics Boot Camp 1 (Coursera) Coursera
Johns Hopkins University

Mathematical Biostatistics Boot Camp 1 (Coursera)

This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.

Sep 14th 2026
4 Weeks
Herramientas ofimáticas básicas para el trabajo (Coursera) Coursera
UBITS

Herramientas ofimáticas básicas para el trabajo (Coursera)

En la actualidad, saber manejar herramientas ofimáticas básicas tales como procesadores de texto, procesadores de datos, correo electrónico y aplicaciones de videollamada es un requisito indispensable para tener éxito en el mundo laboral. Este tipo de herramientas permiten simplificar, agilizar y perfeccionar la comunicación y el manejo de la información en cualquier campo.

Sep 14th 2026
13-24 Weeks
Reproducible Templates for Analysis and Dissemination (Coursera) Coursera
Emory University

Reproducible Templates for Analysis and Dissemination (Coursera)

This course will assist you with recreating work that a previous coworker completed, revisiting a project you abandoned some time ago, or simply reproducing a document with a consistent format and workflow. Incomplete information about how the work was done, where the files are, and which is the most recent version can give rise to many complications.

Sep 14th 2026
5-12 Weeks