Penn State Classifieds>Penn State Online Courses>Analyzing and Visualizing Data with Power BI

Analyzing and Visualizing Data with Power BI

About this Course

Power BI is a robust business analytics and visualization tool from Microsoft that helps data professionals bring their data to life and tell more meaningful stores. This four-week course is a beginner's guide to working with data in Power BI and is perfect for professionals. You'll become confident in working with data, creating data visualizations, and preparing reports and dashboards. Take this course if you are a: Beginner level data professional Student, Researcher, or Academic Marketing analyst, business and data analyst, or financial analyst Course Requirement: Windows computer. (Power BI Desktop is only available on Windows. Mac users can use powerbi.com, but this has limited capabilities and will not follow directly with the course). Course Suggestion: Work or school email account. (You cannot sign up for a powerbi.com account with a personal email address. You can complete 95% of this course without signing up for powerbi.com. However, in Week 4, an account is needed to if you want to publish a report). Image Attribution: "Data visualization & Infographic/UNICEF reports Vol. 1" by Shangning Wang, Olga Oleszczuk is licensed under CC BY-NC-ND 4.0

Created by: Davidson College

Level: Introductory


Related Online Courses

Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in thi... more
En este curso en línea el estudiante aprenderá los conceptos estadísticos básicos para realizar un análisis aplicado de datos, haciendo los cálculos en Excel y buscando la interpretación de cada u... more
The R programming language is purpose-built for data analysis. R is the key that opens the door between the problems you want to solve with data and the answers you need to meet your objectives.... more
R es un lenguaje de programación de código abierto orientado a objetos con fundamentos estadísticos, que permite realizar tratamientos muy potentes con muy pocas líneas de código. La mayoría de su... more
Decisions made by humans are rarely made by data alone. Human decision-makers have cognitive biases, are affected by emotions, and make conceptual leaps beyond what the data may suggest. The best... more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL