Dataquest

Analyzing Data with Microsoft Power BI (Dataquest)

Offered by Dataquest,
Analyzing Data with Microsoft Power BI (Dataquest)

Gain the skills that will help you analyze and visualize data using Microsoft Power BI. You’ll learn how to spot trends, share and present key insights to stakeholders, and help your organization make data-driven decisions. By the end, you'll be ready for the Microsoft Power BI Analyst certification (PL-300/DA-100).

In this path, developed in collaboration with Microsoft, you'll learn how to use Microsoft Power BI to analyze, clean, explore, and visualize data. By completing the path, you’ll earn a 50% discount on the exam! With this certification in hand, you’ll let existing or future employers know that you carry Microsoft’s stamp of approval when it comes to Power BI.

Best of all, you’ll learn by doing — you’ll write code and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.

  • Get Started with Microsoft Data Analytics
  • Model Data in Power BI
  • Visualize data in Power BI
  • Data Analysis in Power BI
  • Manage Workspaces and Datasets in Power BI
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Julia Scientific Programming (Coursera) Coursera
University of Cape Town

Julia Scientific Programming (Coursera)

Statistics & Data Analysis Data Science

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
IPython Data Analysis Computer Programming
Details
Statistics and Data Analysis with Excel, Part 2 (Coursera) Coursera
University of Colorado Boulder

Statistics and Data Analysis with Excel, Part 2 (Coursera)

Statistics & Data Analysis Data Science

This course is meant to be a direct continuation of "Statistics and Data Analysis with Excel, Part 1." Therefore, it is not recommended to take Part 2 unless you've also taken Part 1. Building on the topics learned in Part 1 of the course (probability, probability mass and density functions, the normal and standard normal distributions), this course dives into a more applied side of statistics.

Sep 21st 2026
5-12 Weeks
Statistics Excel Data Analysis
Details
Data Analyst in R (Dataquest) Dataquest
Dataquest

Data Analyst in R (Dataquest)

CS: Programming Data Science

Equip yourself with the necessary R skills to land your first job as a data analyst — or take your career to the next level by adding this in-demand programming language. You’ll learn how to program with R to explore and extract data and create data visualizations. By the end, you’ll be able to present insights thanks to deep statistical analysis.

Self Paced
Self-Paced
Programming Statistics Probability
Details
Data Scientist in Python (Dataquest) Dataquest
Dataquest

Data Scientist in Python (Dataquest)

CS: Programming Data Science

Gain the Python skills you need to start and grow your career as a data scientist. You’ll learn to create data visualizations, perform web-scraping, build machine learning algorithms, and much more. By the end, you’ll be able to analyze datasets, help make business decisions, and use machine learning to solve complex problems.

Self Paced
Self-Paced
Python Statistics SQL
Details
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)

Statistics & Data Analysis

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
Data Analysis LISREL Regression Analysis
Details
Fundamentos de Excel para Negocios (Coursera) Coursera
Universidad Austral

Fundamentos de Excel para Negocios (Coursera)

Statistics & Data Analysis Data Science

Cuando finalices este curso habrás logrado un gran número de habilidades como introducir información, ordenarla, manipularla, realizar cálculos de diversa índole (matemáticos, trigonométricos, estadísticos, financieros, ingenieriles, probabilísticos), extraer conclusiones, trabajar con fechas y horas, construir gráficos, imprimir reportes y muchas más.

Sep 14th 2026
5-12 Weeks
Business Excel Data Analysis
Details
Process Mining: Data science in Action (Coursera) Coursera
Eindhoven University of Technology

Process Mining: Data science in Action (Coursera)

Statistics & Data Analysis Data Science

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis.

Sep 21st 2026
5-12 Weeks
Business Data Mining Data Analysis
Details
Data Science Ethics (Coursera) Coursera
University of Michigan

Data Science Ethics (Coursera)

Data Science

What are the ethical considerations regarding the privacy and control of consumer information and big data, especially in the aftermath of recent large-scale data breaches? This course provides a framework to analyze these concerns as you examine the ethical and privacy implications of collecting and managing big data. Explore the broader impact of the data science field on modern society and the principles of fairness, accountability and transparency as you gain a deeper understanding of the importance of a shared set of ethical values.

Sep 21st 2026
4 Weeks
History Ethics Data Analysis
Details
Analysis and Interpretation of Large-Scale Programs (Coursera) Coursera
Johns Hopkins University

Analysis and Interpretation of Large-Scale Programs (Coursera)

Health & Society

This course is for implementers, managers, funders, and evaluators of health programs targeting women and children in low- and middle-income countries as well as undergraduate and graduate students in health-related fields. Course participants will learn how to 1) transform quantitative components of an evaluation measurement plan into a sound analysis plan to address the evaluation questions, 2) conduct quantitative analyses of primary or secondary surveys or other available data, 3) interpret the meaning of the analysis results and their implications, and 4) disseminate the evaluation findings to program implementers, local and global stakeholders.

Sep 21st 2026
5-12 Weeks
Analysis Data Analysis Evaluation
Details
Principles of fMRI 1 (Coursera) Coursera
Johns Hopkins University

Principles of fMRI 1 (Coursera)

Statistics & Data Analysis

Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public health researchers, biologists, and others are coming together to advance our understanding of the human mind and brain. This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data, including psychological inference, MR Physics, K Space, experimental design, pre-processing of fMRI data, as well as Generalized Linear Models (GLM’s).

Sep 14th 2026
4 Weeks
Medicine Statistics Data Analysis
Details