Beginners Guide To Power BI (Enterprise DNA)

Offered by Enterprise DNA,
Beginners Guide To Power BI (Enterprise DNA)

Build a solid foundation in using Power BI. This Beginner Guide to Power BI course is designed to provide you with a solid foundation in the Power BI platform. We will explore the key components of Power BI, including data modeling, DAX formulas, query editing, and data visualization.

By the end of this course, you will be able to define the components of Power BI and their functions, apply data modeling techniques for effective analysis, understand DAX formulas for data calculations, utilize the query editor for data transformation and cleaning, and create interactive visualizations in Power BI service.
As a data analyst, this course will provide you with the necessary skills to work with Power BI, one of the leading business intelligence tools used in the industry. You will learn how to connect to data sources, transform data, and create compelling visualizations that can be used to gain insights and make informed decisions.
The application of Power BI skills is vast, including creating a sales dashboard to track key performance indicators (KPIs), analyzing customer behavior to improve marketing campaigns, and monitoring inventory levels to optimize supply chain management. By the end of this course, you will have the skills necessary to create meaningful and actionable insights from your data using Power BI.
By the end of this course, you will:

  • Define Power BI components & their functions
  • Apply data modeling techniques for effective analysis
  • Understand DAX formulas for data calculations
  • Utilize the query editor for data transformation and cleaning
  • Learn best practices for data visualization
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Data Visualization (Coursera) Coursera
University of Illinois at Urbana-Champaign

Data Visualization (Coursera)

Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.

Jun 22nd 2026
4 Weeks
Introduction to Spreadsheets and Models (Coursera) Coursera
University of Pennsylvania

Introduction to Spreadsheets and Models (Coursera)

The simple spreadsheet is one of the most powerful data analysis tools that exists, and it’s available to almost anyone. Major corporations and small businesses alike use spreadsheet models to determine where key measures of their success are now, and where they are likely to be in the future. But in order to get the most out of a spreadsheet, you have know how to use it. This course is designed to give you an introduction to basic spreadsheet tools and formulas so that you can begin harness the power of spreadsheets to map the data you have now and to predict the data you may have in the future.

Jun 22nd 2026
4 Weeks
BCG Strategy Virtual Internship (BCG) Other Providers
Boston Consulting Group - BCG

BCG Strategy Virtual Internship (BCG)

This course is designed to give you a feel of what it is like to work at BCG as we help our clients generate competitive advantage. Our client for this project is a telecommunications operator who has had declining profits for several years. We have been engaged to help drive profitability improvement as you play the role of a Strategy Consultant at BCG.

Self Paced
Self-Paced
Text Retrieval and Search Engines (Coursera) Coursera
University of Illinois at Urbana-Champaign

Text Retrieval and Search Engines (Coursera)

Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. Text data are unique in that they are usually generated directly by humans rather than a computer system or sensors, and are thus especially valuable for discovering knowledge about people’s opinions and preferences, in addition to many other kinds of knowledge that we encode in text.

Jun 22nd 2026
5-12 Weeks
Market Research and Consumer Behavior (Coursera) Coursera
IE Business School

Market Research and Consumer Behavior (Coursera)

Your marketing quest begins here! The first course in this specialization lays the neccessary groundwork for an overall successful marketing strategy. It is separated into two sections: Market Research and Consumer Behavior. Gain the tools and techniques to translate a decision problem into a research question in the Market Research module. Learn how to design a research plan, analyze the data gathered and accurately interpret and communicate survey reports, translating the results into practical recommendations.

Jun 22nd 2026
4 Weeks
Machine Learning Foundations: A Case Study Approach (Coursera) Coursera
University of Washington

Machine Learning Foundations: A Case Study Approach (Coursera)

Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? In this course, you will get hands-on experience with machine learning from a series of practical case-studies.

Jun 22nd 2026
5-12 Weeks
Exploratory Data Analysis (Coursera) Coursera
Johns Hopkins University

Exploratory Data Analysis (Coursera)

This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data.

Jun 22nd 2026
4 Weeks
Practical Predictive Analytics: Models and Methods (Coursera) Coursera
University of Washington

Practical Predictive Analytics: Models and Methods (Coursera)

Statistical experiment design and analytics are at the heart of data science. In this course you will design statistical experiments and analyze the results using modern methods. You will also explore the common pitfalls in interpreting statistical arguments, especially those associated with big data. Collectively, this course will help you internalize a core set of practical and effective machine learning methods and concepts, and apply them to solve some real world problems.

Jun 22nd 2026
4 Weeks
Introducción a Data Science: Programación Estadística con R (Coursera) Coursera
Universidad Nacional Autónoma de México

Introducción a Data Science: Programación Estadística con R (Coursera)

Este curso te proporcionará las bases del lenguaje de programación estadística R, la lengua franca de la estadística, el cual te permitirá escribir programas que lean, manipulen y analicen datos cuantitativos. Te explicaremos la instalación del lenguaje; también verás una introducción a los sistemas base de gráficos y al paquete para graficar ggplot2, para visualizar estos datos. Además también abordarás la utilización de uno de los IDEs más populares entre la comunidad de usuarios de R, llamado RStudio.

Jun 22nd 2026
4 Weeks
Graph Analytics for Big Data (Coursera) Coursera
University of California, San Diego

Graph Analytics for Big Data (Coursera)

Want to understand your data network structure and how it changes under different conditions? Curious to know how to identify closely interacting clusters within a graph? Have you heard of the fast-growing area of graph analytics and want to learn more? This course gives you a broad overview of the field of graph analytics so you can learn new ways to model, store, retrieve and analyze graph-structured data.

Jun 22nd 2026
5-12 Weeks