Advance Your Skills in Predictive Analytics

Predictive analytics is one of the richest disciplines within the realm of data science. As the tools and techniques for using data to predict future outcomes have evolved, business and data analysis professionals can use this learning path to stay up to date with the latest advancements.

Discover how machine learning is changing predictive analytics.
Apply predictive analytics techniques for financial forecasting.
Explore the predictive analytics functions of R, Python, etc.

Syllabus

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

Course 2: Predictive Analytics Essential Training: Data Mining
-Get useful, real-world insights into using predictive analysis and data mining to solve problems.

Course 3: Financial Forecasting with Analytics Essential Training
-Discover how to use Microsoft Excel to quickly create financial forecasts with analytics and big data.

Course 4: 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 5: Business Analytics Foundations: Descriptive, Exploratory, and Explanatory Analytics
-Learn about the three types of data analytics used to analyze past business performance: descriptive, exploratory, and explanatory analytics.

Course 6: Python: Working with Predictive Analytics (2019)
-Find out how to use prebuilt Python libraries for predictive analytics and discover insights about the future.

Course 7: Introduction to Machine Learning with KNIME
-Learn KNIME, a popular open-source platform for predictive analytics and machine learning. Discover how to use KNIME for merging and aggregation, modeling, data scoring, and more.

Course 8: 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 9: 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 10: Statistics Foundations 3: Using Data Sets
-Go beyond the basics of statistics with practical, example-based lessons to learn how data sets and statistics are used in the real world.

Taught by

Keith McCormick, Kumaran Ponnambalam, Keith McCormick, Kumaran Ponnambalam, Michael M., Michael M., Kumaran Ponnambalam, Kumaran Ponnambalam and Lynn Langit