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.

• 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
• Learn how to use data analytics to make better business decisions and gain competitive advantage. This fast-paced introduction is ideal for managers and executives.
• Course 4: Excel: Economic Analysis and Data Analytics
• Use big data to forecast economic trends. Find out how to perform regression analysis for economic forecasting using Microsoft Excel.
• Course 5: Power BI Essential Training
• 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 Fluency: Exploring and Describing Data
• Learn how anyone, in any industry, can speak the language of data analysis. Find out how to prepare data, explore it visually, and describe it using statistical methods.
• Course 7: Using Tableau to Discover Powerful Business Insights
• 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
• Up your marketing analytics game by learning how to set and track KPIs using Google Analytics. Learn which KPIs are most important and how this differs by business type.
• Course 10: Data Visualization for Data Analysis 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.