TOP 10 DATA SCIENCE COURSES IN SAN FRANCISCO, USA - PAGE 4

Learn to manage Power BI assets, including reports, dashboards, workspaces, security, performance tuning, and advanced analytics. This class covers topics for DA-100 Microsoft Certified Data Analyst Associate exam.

In this course, students learn to load and transform data into the Power BI Desktop application, relate data, create calculated columns and measures, create reports with table and chart visuals, create slicers and page level filters, and publish to Power BI Online.

Learn about business intelligence tips, data analysis, data modeling, shaping, query editor, visualizations, charting data, data anlaysis expressions, DAX, filtering reports, slicing reports, dashboards.

Microsoft Power BI is a robust analytics solution used to transform your data into powerful and rich visuals. You can view your entire business on a dashboard, create stunning interactive reports, and view your data consistently across your organization.

Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience.

This course is intended as a continuation of our introductory-level courses PL-300: Microsoft Power BI Data Analyst and/or Excel BI Tools: Power BI for Excel Users in Power BI.

Microsoft Power BI course is offered by Bravura. With Bravura Training your unique requirements for effective computer training, business technology, and technical solutions come first. No two students are the same, no two businesses are the same.

This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI .

The R Programming Introduction course will help students learn how to perform data analysis with the R language and software environment, even if they have little to no programming experience.

The Big Data Foundation certification is designed to provide candidates with a well-rounded understanding of big data. It covers the potential data sources that can be used for solving real business problems and an overview of data mining and the tools used in it.