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LinkedIn Learning

Become a Business Intelligence Specialist

via LinkedIn Learning Path

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Overview

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
-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
-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 (2019)
-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 (2021)
-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.

Courses

Taught by

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

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