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

Analyzing and Visualizing Data in Looker (Coursera) Coursera
Google Cloud

Analyzing and Visualizing Data in Looker (Coursera)

In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.

Nov 23rd 2026
2 Weeks
Data Processing Using Python (Coursera) Coursera
Nanjing University

Data Processing Using Python (Coursera)

This course is mainly for non-computer majors. It starts with the basic syntax of Python, to how to acquire data in Python locally and from network, to how to present data, then to how to conduct basic and advanced statistic analysis and visualization of data, and finally to how to design a simple GUI to present and process data, advancing level by level.

Nov 23rd 2026
5-12 Weeks
Business Applications of Hypothesis Testing and Confidence Interval Estimation (Coursera) Coursera
Rice University

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

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.

Nov 30th 2026
4 Weeks
Practical Python for AI Coding 2 (Coursera) Coursera
Korea Advanced Institute of Science and Technology - KAIST

Practical Python for AI Coding 2 (Coursera)

This course is for a complete novice of Python coding, so no prior knowledge or experience in software coding is required. This course selects, introduces and explains Python syntaxes, functions and libraries that were frequently used in AI coding. In addition, this course introduces vital syntaxes, and functions often used in AI coding and explains the complementary relationship among NumPy, Pandas and TensorFlow, so this course is helpful for even seasoned python users.

Nov 23rd 2026
5-12 Weeks
Data science perspectives on pandemic management (Coursera) Coursera
Politecnico di Milano

Data science perspectives on pandemic management (Coursera)

The COVID-19 pandemic is one of the first world-wide scenarios where data made a difference in capturing and analyzing the diffusion and impact of the disease. We offer an introductory course for decision makers, policy makers, public bodies, NGOs, and private organizations about methods, tools, and experiences on the use of data for managing current and future pandemic scenarios.

Nov 30th 2026
5-12 Weeks
Visualización de Datos con Python (Coursera) Coursera
IBM

Visualización de Datos con Python (Coursera)

"Una imagen vale mas que mil palabras". Todos estamos familiarizados con esta expresión. Se aplica especialmente cuando se trata de explicar la información obtenida del análisis de conjuntos de datos cada vez más grandes. La visualización de datos juega un papel esencial en la representación de datos tanto a pequeña como a gran escala. Una de las habilidades clave de un científico de datos es la capacidad de contar una historia convincente, visualizando datos y hallazgos de una manera accesible y estimulante

Nov 23rd 2026
3 Weeks
Functional Programming in Scala Capstone (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Functional Programming in Scala Capstone (Coursera)

In the final capstone project you will apply the skills you learned by building a large data-intensive application using real-world data. You will implement a complete application processing several gigabytes of data. This application will show interactive visualizations of the evolution of temperatures over time all over the world.

Nov 30th 2026
5-12 Weeks
Python Data Visualization (Coursera) Coursera
Rice University

Python Data Visualization (Coursera)

This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs.

Nov 27th 2026
4 Weeks