Introduction To Data Analytics Using Microsoft Power BI

Course details

Gartner has recognized Microsoft as a Leader — for the ninth year in a row — in the 2016 Magic Quadrant for Business Intelligence (BI) and Data Analytics Platforms.

Power BI is a suite of business analytics tools to analyze data and share insights. Monitor your business and get answers quickly with rich dashboards available on every device. 

Course Description

Learn Introduction to Data Analytics Using Power BI Online and Power BI Desktop

Power BI (Business Intelligence) offers basic data wrangling capabilities similar to Excel's Power Query. It also lets you create interactive visualizations, reports and dashboards with a few clicks or drag-and-drops; type natural-language questions about your data on a dashboard; and handle files that are too large for Excel.

Power BI transforms your company's data into rich visuals for you to collect and organize so you can focus on what matters to you. Stay in the know, spot trends as they happen, and push your business further.

It can work with dozens of data types -- not only Excel, Access and CSV files, but also Salesforce, Google Analytics, MailChimp, GitHub, QuickBooks Online and dozens of others. And, it will run R scripts -- meaning that any data you can pull in and massage via R you can import into Power BI

Let me help you bring your Big Data to life using Real World Data - We will use New York City Public Data Set as well as existing samples in Power BI

So, if you are looking for new ways to seek insights and create powerful visualization on the fly, Power BI is the answer. You can transform your company's data into rich stunning easy to use visuals for you to collect and organize, so you can spot trends, collaborate in new ways, and make sense of your data.

This course contains the following lessons:

1. Introduction to Course & about the Instructor
2. Introduction to Power BI Online, Power BI Desktop, and the Interface
3. How to Import data using both Power BI Online and Power BI Desktop
4. Difference between Power BI Online Vs Power BI Desktop
5. Transforming Big Data - Real World Data Set (New York City Public data set)
6. Creating Visualization
7. Using Quick Insights
8. Asking Questions from your Big Data using plain English language
9. Sharing Dashboard by emailing and generating a URL Link
10. Much more…