Course Length: 3 Days
As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of "big data" is a direct result of the popularity and growth of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantages. Creating data- backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft® Power BI® software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. This course may earn a Credly Badge.
To ensure your success in this course you should have experience managing data with a spreadsheet program such as Microsoft® Excel®, which you could obtain by taking the following Logical Operations courses.
Microsoft® Excel® for Office 36> (Desktop or Online): Part 1 or Microsoft® Office Excel® 2019: Part 1
Microsoft® Excel® for Office 36> (Desktop or Online): Part 2 or Microsoft® Office Excel® 2019: Part 2
Optionally, having experience with other data analytics tools, such as Google Analytic> or Customer Relationship Management (CRM) systems such as Salesforce®, as well as an understanding of database design concepts and basic programming constructs such as looping and branching, will help you get even more out of this course.
The following courses are helpful but not required:
This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data management tools such as Microsoft Excel® or SQL Server® reporting services to perform numerical or general data analysis. They are responsible for connecting to cloud-based data sources, as well as shaping and combining data for the purpose of analysis. They are also looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients. This course is also designed for professionals who want to pursue the Microsoft Power BI Data Analyst (Exam PL-300) certification.
In this course, you will analyze data with Microsoft Power BI.
1 - Analyzing Data with Self-Service BI
2 - Connecting to Data Sources
3 - Performing Data Cleaning, Profiling, and Shaping
4 - Visualizing Data with Power BI
5 - Enhancing Data Analysis
6 - Modeling Data with Calculations
7 - Creating Interactive Visualizations
8 - Using Advanced Analysis Techniques
9 - Enhancing Reports and Dashboards
10 - Publishing and Sharing Reports and Dashboards
11 - Extending Power BI Beyond the Desktop
Leave us your email address and phone number and one of our team will be in touch to find out a bit more about you and discuss next steps.