Engineering and Technology
Utilize Microsoft Power BI as a primary tool for data pre-processing, visualization, and analysis.
Data Analysis and Visualization with Microsoft Power BI is a comprehensive course on Udacity that covers the essential skills needed to prepare, model, and analyze data using Power BI. The course begins with an introduction to preparing and modeling data, teaching students how to combine and clean multiple data sources using Power Query. Students will also learn foundational data modeling principles and gain an understanding of DAX (Data Analytics Expressions). The course then moves on to creating visualizations with Power BI, where students will learn how to design reports and use filters and slicers to enhance data exploration and storytelling. Finally, the course covers advanced data analysis techniques, including statistics, forecasting, and strategy, using Power BI. By the end of the course, students will be able to retrieve, analyze, and visualize data effectively to answer questions and draw conclusions.
by Udacity
Utilize Microsoft Power BI as a primary tool for data pre-processing, visualization, and analysis.
by Udacity
This course will introduce students to the field by covering state-of-the-art modeling, analysis a...
by Udacity
Learn to collect and analyze data, model marketing scenarios, and communicate your findings with Exc...
by Udacity
Discover how data visualization can communicate insights far more effectively than text or tables.
by Udacity
Learn the fundamentals of data visualization and practice communicating with data.
by Udacity
Combine data, visuals, and narrative to tell impactful stories and make data-driven decisions.
by Udacity
Data is everywhere and so much of it is unexplored. Learn how to investigate and summarize data sets...
by Udacity
Learn the 5 key stages of the data analysis process in this hands-on introduction to data analysis.
by Udacity
Build effective machine learning models, run data pipelines, build recommendation systems, and deplo...
by Udacity
Use Python, SQL, and statistics to uncover insights, communicate critical findings, and create data-...