Business analytics uses data to solve business challenges, and it's transforming the world of business. This learning path equips you to understand and deploy analytics, covering fundamentals, popular tools, predictive analytics, data visualization, and effective communication of insights.

Plan effective business strategies using business analytics.
Explore analytics tools like SQL, Tableau, and Power BI.
Practice predictive analytics and data visualization.

Syllabus

Courses under this program:
Course 1: 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 2: Predictive Analytics Essential Training for Executives (2020)
-Learn how to hire and manage data science professionals and transform your business with effectively deployed advanced analytics.

Course 3: Predictive Analytics Essential Training: Estimating and Ensuring ROI
-Turn predictive analytics into a profit center at your organization. Learn how to measure the return on investment (ROI) and prove the long-term value of your projects.

Course 4: Financial Forecasting with Analytics Essential Training
-Discover how to use Microsoft Excel to quickly create financial forecasts with analytics and big data.

Course 5: 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 6: Power BI Data Modeling with DAX
-Take your data modeling skills to the next level. Learn how to leverage Data Analysis Expressions (DAX) to create formulas for Power BI that extend your data model.

Course 7: SQL for Data Analysis
-Learn fundamental SQL data analysis techniques especially useful for developers. Explore querying relational database values, filtering results, leveraging functions, and more.

Course 8: SQL Hands-On Practice: Solve Business Problems
-Practice solving real business problems in SQL in this hands-on, interactive course with coding challenges in CoderPad.

Course 9: Predictive Analytics Essential Training: Data Mining
-Get useful, real-world insights into using predictive analysis and data mining to solve problems.

Course 10: Predictive Customer Analytics
-Learn about the customer life cycle and how predictive analytics can improve the customer journey. Explore using predictive analytics to identify, attract, and retain customers.

Course 11: Data Science Foundations: Data Assessment for Predictive Modeling
-Explore the data understanding phase of the CRISP-DM methodology for predictive modeling. Find out how to collect, describe, explore, and verify data.

Course 12: Advanced Predictive Modeling: Mastering Ensembles and Metamodeling
-Learn how to use ensembles and metamodeling to create more accurate predictive models.

Course 13: 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.

Taught by

John H. Johnson, Conrad Carlberg, Conrad Carlberg, Conrad Carlberg, Conrad Carlberg, Kumaran Ponnambalam, Kumaran Ponnambalam, Conrad Carlberg, Conrad Carlberg and Conrad Carlberg