From Excel to Power BI (Coursera)

From Excel to Power BI (Coursera)

Are you using Excel to manage, analyze, and visualize your data? Would you like to do more? Perhaps you've considered Power BI as an alternative, but have been intimidated by the idea of working in an advanced environment. The fact is, many of the same tools and mechanisms exist across both these Microsoft products. This means Excel users are actually uniquely positioned to transition to data modeling and visualization in Power BI! Using methods that will feel familiar, you can learn to use Power BI to make data-driven business decisions using large volumes of data.

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

We will help you to build fundamental Power BI knowledge and skills, including:
• Importing data from Excel and other locations into Power BI.
• Understanding the Power BI environment and its three Views.
• Building beginner-to-moderate level skills for navigating the Power BI product.
• Exploring influential relationships within datasets.
• Designing Power BI visuals and reports.
• Building effective dashboards for sharing, presenting, and collaborating with peers in Power BI Service.
For this course you will need:
• A basic understanding of data analysis processes in Excel.
• At least a free Power BI licensed account, including:
• The Power BI desktop application.
• Power BI Online in Microsoft 365.
Course duration is approximately three hours. Learning is divided into five modules, the fifth being a cumulative assessment. The curriculum design includes video lessons, interactive learning using short, how-to video tutorials, and practice opportunities using COMPLIMENTARY DATASETS. Intended audiences include business students, small business owners, administrative assistants, accountants, retail managers, estimators, project managers, business analysts, and anyone who is inclined to make data-driven business decisions. Join us for the journey!

What You Will Learn
Learners will be instructed in how to make use of Excel and Power BI to collect, maintain, share and collaborate, and to make data driven decisions

Syllabus

WEEK 1
From Excel to Power BI
Many of the same data management tools and mechanisms exist across both Microsoft Excel and Power BI. This means Excel users are uniquely positioned to transition to data modeling and visualization in Power BI! Using methods that will feel familiar, you can learn to use Power BI to make data-driven business decisions using large volumes of data. We will help you to build fundamental Power BI knowledge and skills, including: importing data from Excel and other locations into Power BI; understanding the Power BI environment and its three Views; building beginner-to-moderate level skills for navigating the Power BI product; exploring influential relationships within datasets; designing Power BI visuals and reports; and building effective dashboards for sharing, presenting, and collaborating with peers in Power BI Service. Join us for the journey!

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

Related Courses

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.

Sep 14th 2026
4 Weeks
Julia Scientific Programming (Coursera) Coursera
University of Cape Town

Julia Scientific Programming (Coursera)

This four-module course introduces users to Julia as a first language. Julia is a high-level, high-performance dynamic programming language developed specifically for scientific computing. This language will be particularly useful for applications in physics, chemistry, astronomy, engineering, data science, bioinformatics and many more.

Sep 14th 2026
4 Weeks
Matrix Methods (Coursera) Coursera
University of Minnesota

Matrix Methods (Coursera)

Mathematical Matrix Methods lie at the root of most methods of machine learning and data analysis of tabular data. Learn the basics of Matrix Methods, including matrix-matrix multiplication, solving linear equations, orthogonality, and best least squares approximation. Discover the Singular Value Decomposition that plays a fundamental role in dimensionality reduction, Principal Component Analysis, and noise reduction.

Sep 14th 2026
5-12 Weeks
Habilidades de Excel para el negocio: Conceptos básicos (Coursera) Coursera
Macquarie University

Habilidades de Excel para el negocio: Conceptos básicos (Coursera)

En este primer curso de la especialización de habilidades de Excel para el negocio, aprenderá los conceptos básicos de Microsoft Excel. En seis semanas, podrá navegar, de forma experta, a través de la interfaz de usuario de Excel, realizar cálculos básicos con fórmulas y funciones, dar formato profesional a hojas de cálculo y crear visualizaciones de datos a través de gráficos y cuadros.

Sep 14th 2026
5-12 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
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).

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
Big Data Analysis with Scala and Spark (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Big Data Analysis with Scala and Spark (Coursera)

Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout.

Sep 14th 2026
4 Weeks