Data Visualization and Dashboards with Excel and Cognos (Coursera)

Offered by IBM,
Data Visualization and Dashboards with Excel and Cognos (Coursera)

This course covers some of the first steps in the development of data visualizations using spreadsheets and dashboards. Begin the process of telling a story with your data by creating the many types of charts that are available in spreadsheets like Excel. Explore the different tools of a spreadsheet, such as the important pivot function and the ability to create dashboards and learn how each one has its own unique property to transform your data.

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

Continue to gain valuable experience by becoming familiar with the popular analytics tool - IBM Cognos Analytics - to create interactive dashboards.
By completing this course, you will have a basic understanding of using spreadsheets as a data visualization tool. You will gain the ability to effectively create data visualizations, such as charts or graphs, and will begin to see how they play a key role in communicating your data analysis findings. All of this can be accomplished by learning the basics of data analysis with Excel and IBM Cognos Analytics, without having to write any code. By the end of this course you will be able to describe common dashboarding tools used by a data analyst, design and create a dashboard in a cloud platform, and begin to elevate your confidence level in creating intermediate level data visualizations.
Throughout this course you will encounter numerous hands-on labs and a final project. With each lab, gain hands-on experience with creating basic and advanced charts, then continue through the course and begin creating dashboards with spreadsheets and IBM Cognos Analytics. You will then end this course by creating a set of data visualizations with IBM Cognos Analytics and creating an interactive dashboard that can be shared with peers, professional communities or prospective employers.
This course does not require any prior data analysis, or computer science experience. All you need to get started is basic computer literacy, high school level math, access to a modern web browser such as Chrome or Firefox, the ability to create a Microsoft account to access Excel for the Web, and a basic understanding of Excel spreadsheets.
This course can be applied to multiple Specializations or Professional Certificates programs. Completing this course will count towards your learning in any of the following programs:

Syllabus

WEEK 1
Visualizing Data Using Spreadsheets
In this module, you will be introduced to the basics of charts and the Excel functions that are used to create basic charts and pivot chart visualizations. By learning how to manipulate these features and creating visualizations, you will begin to understand the important role charts play in telling a data-driven story.

WEEK 2
Creating Visualizations and Dashboards with Spreadsheets
In this module, you will learn about creating advanced charts and visualizations and learn about the basics of dashboarding and how to create a simple dashboard using a spreadsheet.

WEEK 3
Creating Visualizations and Dashboards with Cognos Analytics
In this module, you will be introduced to another dashboarding solution called Cognos Analytics. After registering with Cognos Analytics, you will then explore the platform capabilities by creating visualizations, building a simple dashboard, and discovering its advanced features.

WEEK 4
Final Project
Congratulations! You have now completed the modules for this course. This week, you will complete the final assignment that will be graded by your peers. In the first part of the final assignment, you will use provided sample data to create some visualizations using Excel for the web. In the second part of the final assignment, you will create some visualizations and add them to a dashboard using Cognos Analytics.

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

Related Courses

Fundamentals of Machine Learning in Finance (Coursera) Coursera
New York University Tandon School of Engineering

Fundamentals of Machine Learning in Finance (Coursera)

The course aims at helping students to be able to solve practical ML-amenable problems that they may encounter in real life that include: (1) understanding where the problem one faces lands on a general landscape of available ML methods, (2) understanding which particular ML approach(es) would be most appropriate for resolving the problem, and (3) ability to successfully implement a solution, and assess its performance.

Nov 9th 2026
4 Weeks
Redes Ecológicas (Coursera) Coursera
Universidade de São Paulo, Brasil

Redes Ecológicas (Coursera)

Todos os seres vivos estão conectados entre si por interações ecológicas, formando a “colina emaranhada” de Darwin, metáfora inspirada pela “teia da vida” de Humboldt. Desemaranhar essa complexidade é uma tarefa desafiadora, mas factível, desde que você use ferramentas adequadas. A ciência de redes nos ajuda com excelentes ferramentas conceituais e operacionais.

Nov 9th 2026
4 Weeks
Accounting Data Analytics with Python (Coursera) Coursera
University of Illinois at Urbana-Champaign

Accounting Data Analytics with Python (Coursera)

This course focuses on developing Python skills for assembling business data. It will cover some of the same material from Introduction to Accounting Data Analytics and Visualization, but in a more general purpose programming environment (Jupyter Notebook for Python), rather than in Excel and the Visual Basic Editor. These concepts are taught within the context of one or more accounting data domains (e.g., financial statement data from EDGAR, stock data, loan data, point-of-sale data).

Nov 9th 2026
5-12 Weeks
Data-Driven Decisions with Power BI (Coursera) Coursera
Knowledge Accelerators

Data-Driven Decisions with Power BI (Coursera)

New Power BI users will begin the course by gaining a conceptual understanding of the Power BI desktop application and the Power BI service. Learners will explore the Power BI interface while learning how to manage pages and understand the basics of visualizations. Learners will engage in numerous hands-on experiences to discover how to import, connect, clean, transform, and model their own data in the Power BI desktop application.

Nov 9th 2026
5-12 Weeks
Pre-MBA Statistics (Coursera) Coursera
Indian Institute of Management Ahmedabad (IIMA)

Pre-MBA Statistics (Coursera)

Welcome to the Pre-MBA Statistics course! By the end of this course, you will be able to describe how statistics can be used to summarize, analyze, and interpret data. This course introduces you to some aspects of descriptive and inferential statistics. You will learn to distinguish between various data types and describe the operations that you can execute with each type of data and the right tools to use.

Nov 9th 2026
5-12 Weeks
Infonomics I: Business Information Economics and Data Monetization (Coursera) Coursera
University of Illinois at Urbana-Champaign

Infonomics I: Business Information Economics and Data Monetization (Coursera)

Thriving in the Information Age compels organizations to deploy information as an actual business asset, not as an IT asset or merely as a business byproduct. This demands creativity in conceiving and implementing new ways to generate economic benefits from the wide array of information assets available to an organization. Unfortunately, information too frequently is underappreciated and therefore underutilized.

Nov 9th 2026
4 Weeks
Research Design: Inquiry and Discovery (Coursera) Coursera
University of North Texas

Research Design: Inquiry and Discovery (Coursera)

The main purpose of this course is to focus on good questions and how to answer them. This is essential to making considered decisions as a leader in any organization or in your life overall. Topics will include the basis of human curiosity, development of questions, connections between questions and approaches to information gathering design, variable measurement, sampling, the differences between experimental and non-experimental designs, data analysis, reporting and the ethics of inquiry projects.

Nov 9th 2026
4 Weeks