EMMA

Excel 2010 (EMMA)

Offered by Universitat Politècnica de València,

Excel is the program from the Microsoft Office suite that allows you to work with spreadsheets. This program allows you to perform all kinds of operations, classifying and managing data on a large scale. It incorporates a large number of functions and has great features for representing the results graphically.

During this course you will learn how to begin to work with Excel, using operations and basic formats, showing results, graphics and functions, as well as data tables, which will complete this course.
Outcomes:

Lesson 1: Beginning to use Excel
Lesson 2: Basic operations
Lesson 3: Formats
Lesson 4: Presentation of results
Lesson 5: Charts
Lesson 6: Editing charts
Lesson 7: Functions
Lesson 8: Data tables

Go to Class

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

Related Courses

Coursera

California Institute of the Arts

Introduction to Typography (Coursera)

Architecture & Design

Typography is the art of manipulating the visual form of language to enrich and control its meaning. It’s an essential area of skill and knowledge for graphic designers. Typography predates modern graphic design by around 500 years; it is rich in rules, conventions, and esoteric terminology—but it remains an exciting space for invention and expression.

Jul 27th 2026

4 Weeks

History Art Creativity

Coursera

Universitat Autònoma de Barcelona

Pre-Calculus (Coursera)

Sci: Mathematics

Curso diseñado para facilitar la entrada del estudiante en los cursos de cálculo de primer semestre de prácticamente cualquier grado universitario, con especial énfasis en Ciencias e Ingeniería.

Aug 3rd 2026

5-12 Weeks

Math Calculus Trigonometry

EMMA

University of Naples Federico II

Il disegno della luce (EMMA)

Engineering

La produzione di questo MOOC fa capo al Corso di Disegno edile, afferente alla facoltà di Ingegneria edile dell'Università Federico II di Napoli. Durante le lezioni, particolarmente indicate per coloro che abbiano conoscenze dei fondamenti della geometria proiettiva e del metodo delle proiezioni ortogonali, si affronterà la questione della rappresentazione delle ombre. Saranno affrontati e risolti alcuni problemi grafici legati a questo tipo di rappresentazione, attraverso l'utilizzo di numerosi esempi interattivi che, in maniera evidente, illustreranno le soluzioni risultanti dall'applicazione delle regole.

Self-Paced

Art Perception Drawing

EMMA

Tallinn University

Computer Assisted Inquiry (EMMA)

Statistics & Data Analysis Personal and Professional Development

The course is addressed for secondary school students and teachers, who would like to fresh their research skills and for I and II year university students. During the 9 weeks long course, participants will learn how to collect and analyze data with the computer and to draw conclusions.

Self-Paced

Data Data Analysis Research

Coursera

Duke University

Business Metrics for Data-Driven Companies (Coursera)

Management & Leadership Statistics & Data Analysis

In this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable. You will be able to recognize the most critical business metrics and distinguish them from mere data. You’ll get a clear picture of the vital but different roles business analysts, business data analysts, and data scientists each play in various types of companies. And you’ll know exactly what skills are required to be hired for, and succeed at, these high-demand jobs.

Jul 27th 2026

4 Weeks

Excel Data Analysis Microsoft Excel

Coursera

Corporate Finance Institute

Power Query Fundamentals (Coursera)

Economics & Finance Business

In this online Power Query Fundamentals course, we’ll explore the world of data transformation and automation. You’ll learn to extract data from multiple different sources, and transform it into layouts more suited to analysis. We will show you how to automate data connections and transformations, as well as how to extract and consolidate data from multiple files. Finally, we’ll end by looking at how to deal with common errors.

Aug 3rd 2026

5-12 Weeks

Excel Power Query Automation

Coursera

Rice University

Business Applications of Hypothesis Testing and Confidence Interval Estimation (Coursera)

Statistics & Data Analysis Data Science

Confidence intervals and Hypothesis tests are very important tools in the Business Statistics toolbox. A mastery over these topics will help enhance your business decision making and allow you to understand and measure the extent of ‘risk’ or ‘uncertainty’ in various business processes. This course advances your knowledge about Business Statistics by introducing you to Confidence Intervals and Hypothesis Testing. These are done by easy to understand applications.

Aug 10th 2026

4 Weeks

Hypothesis Data Analysis Microsoft Excel

Coursera

University of Pennsylvania

Modeling Risk and Realities (Coursera)

Management & Leadership Business

Useful quantitative models help you to make informed decisions both in situations in which the factors affecting your decision are clear, as well as in situations in which some important factors are not clear at all. In this course, you can learn how to create quantitative models to reflect complex realities, and how to include in your model elements of risk and uncertainty.

Jul 27th 2026

4 Weeks

Business Risk Modeling

Coursera

University of Illinois at Urbana-Champaign

Introduction to Accounting Data Analytics and Visualization (Coursera)

Statistics & Data Analysis Data Science

Accounting has always been about analytical thinking. From the earliest days of the profession, Luca Pacioli emphasized the importance of math and order for analyzing business transactions. The skillset that accountants have needed to perform math and to keep order has evolved from pencil and paper, to typewriters and calculators, then to spreadsheets and accounting software. A new skillset that is becoming more important for nearly every aspect of business is that of big data analytics: analyzing large amounts of data to find actionable insights. This course is designed to help accounting students develop an analytical mindset and prepare them to use data analytic programming languages like Python and R.

Aug 10th 2026

5-12 Weeks

Excel Accounting Data Analysis

Coursera

Emory University

Math for MBA and GMAT Prep (Coursera)

Business

This course gives participants a basic understanding of statistics as they apply in business situations. A fair share of students considering MBA programs come from backgrounds that do not include a large amount of training in mathematics and statistics. Often, students find themselves at a disadvantage when they apply for or enroll in MBA programs. This course will give you the tools to understand how these business statistics are calculated for navigating the built-in formulas that are included in Excel, but also how to apply these formulas in an range of business settings and situations.

Aug 10th 2026

5-12 Weeks

Statistics Excel Statistical Analysis

Coursera

Universitat Autònoma de Barcelona

Competencias digitales. Conceptos y herramientas básicas (Coursera)

Computer Science

Los continuos cambios tecnológicos, sobre todo en aquellos aspectos vinculados a las tecnologías de la información y la comunicación (TIC) hacen que las personas tengan la necesidad de actualizarse de forma continua para que sus conocimientos no queden obsoletos. En este contexto, para las empresas se convierte en algo imprescindible disponer de profesionales que tengan las competencias necesarias para ejercer con éxito las actividades que requieren en su lugar de trabajo.

Aug 3rd 2026

4 Weeks

Security Internet Operating Systems

Coursera

University of Colorado System

Cybersecurity Policy for Aviation and Internet Infrastructures (Coursera)

Social Sciences

In this course we will examine the aviation and Internet infrastructures, and various policies that have been developed to help guide and strengthen their cybersecurity programs. The aviation and Internet infrastructures are also considered "lifeline infrastructure" as part of the transportation and communications sectors. Both subsectors are overseen by the Department of Homeland Security National Protection and Programs Directorate which manages the DHS National Infrastructure Protection Program.

Jul 27th 2026

4 Weeks

Internet Transportation Cybersecurity