Become a Business Intelligence Specialist

Establish a conceptual understanding of business intelligence (BI) and analytics, and acquire practical, tool-based skills. This learning path covers everything from Microsoft Power BI and IBM Crystal Reports to Looker, Tableau, and Google Analytics.

Develop a solid grounding on financial forecasting.
Master a wide-range of in-demand tools.
Begin building advanced forecasting and analytics skills.

Syllabus

Courses under this program:
Course 1: The Non-Technical Skills of Effective Data Scientists
-Learn the nontechnical skills that effective data scientists must nurture to convert their first job into a successful, lifelong career.

Course 2: Business Intelligence for Consultants
-Learn how to use business intelligence to create data-driven insights for your consulting clients.

Course 3: Data Analytics for Business Professionals (2022)
-Learn how to use data analytics to make better decisions and gain competitive advantage as a business professional.

Course 4: Excel: Economic Analysis and Data Analytics
-Find out how to use big data to perform regression analysis for economic forecasting in Microsoft Excel.

Course 5: Power BI Essential Training (2024)
-Get started with Power BI. Learn how to use this powerful set of business analytics tools to create and share visualizations with others in your organization.

Course 6: Data Literacy: Exploring and Describing Data
-Learn the fundamentals of data fluency and how data can help you make better decisions.

Course 7: Using Tableau to Discover Powerful Business Insights (2022)
-Learn how to use Tableau to create, export, and share data visualizations that can offer you powerful business insights.

Course 8: Financial Forecasting with Analytics Essential Training
-Discover how to use Microsoft Excel to quickly create financial forecasts with analytics and big data.

Course 9: Marketing Analytics: Setting and Measuring KPIs
-Gain the skills and knowledge needed to leverage data-driven insights to make strategic decisions, optimize your marketing efforts, and drive business growth.

Course 10: Data Visualization for Data Analysts and Analytics
-Start thinking more clearly and strategically about data visualization. Learn how to leverage best practices in visualization and design to communicate data to any audience.

Course 11: Data Science Foundations: Knowledge Graphs
-Improve your handling of information with knowledge graphs. This course covers knowledge graph tools, as well as how to network your databases and build a digital knowledge base.

Course 12: Power BI: Integrating AI and Machine Learning
-Find out how you can give end users the capability to explore AI and machine learning in Power BI.

Taught by

Keith McCormick, Joshua Rischin, John H. Johnson, Michael M., Gini von Courter, Barton Poulson, John David Ariansen, MBA, Michael M., Michael Taylor, Bill Shander, Daniel Burgwinkel and Helen Wall