🔍Gain skills in data cleanup, data modeling, introductory DAX, visuals, and overall Power BI familiarity.
📊Use various Power BI features for data analysis and specific business-related questions.
📈Perform trends and forecast analysis with built-in features of Power BI.
💾Learn to save, publish, and manage data updates and refresh process in Power BI.
📚Explore additional resources for further learning about Power BI.
What is Power BI?
—Power BI is a powerful data analysis tool that allows you to clean, model, analyze, and visualize data.
What are the key skills gained from this course?
—The key skills gained from this course include data cleanup, data modeling, DAX, visualizations, and overall familiarity with Power BI.
Can I follow along with provided workbooks and examples?
—Yes, the course provides sample workbooks and completed examples for you to follow along and practice.
Can Power BI be used for specific business-related questions?
—Yes, Power BI offers features for answering specific business-related questions through data analysis and visuals.
Is there support for trends and forecast analysis in Power BI?
—Yes, Power BI has built-in features for performing trends and forecast analysis on your data.
00:00Welcome to the Data Analysis with Power BI course, where you will learn all about Power BI for data analysis.
00:26This course covers data cleanup, data modeling, introductory DAX, working with visuals, and overall Power BI familiarity.
01:03The agenda includes topics such as what is Power BI, data cleanup situations, answering business-related questions using Power BI visuals, trends and forecast analysis, saving and publishing work, and resources for further learning.
02:00Power BI offers a free desktop software for data analysis, as well as a paid subscription plan for sharing and collaborating on data.
03:30The Power BI screen includes a ribbon with different functionalities, a canvas for building reports, and panels for visuals and fields.
06:01You can import data from various sources, such as Excel, SQL Server, or paste data directly into Power BI.
09:43Cleaning up data in Power BI is done through the Power Query Editor, where you can transform and shape your data.
12:53After cleaning the data, you can create visuals to analyze and visualize the data.
