Advance Your Skills in Predictive Analytics

Overview

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.

Explore how machine learning is changing predictive analytics.
Apply predictive analytics techniques for financial forecasting.
Master the predictive analytics functions of AWS and Google Cloud Platform.

Syllabus

Course 1: Machine Learning and AI Foundations: Predictive Modeling Strategy at Scale

Scalability is one of the biggest challenges in data science. Learn how to evaluate data, choose the right algorithms, and perform predictive modeling at scale.

Course 2: Data Science on Google Cloud Platform: Exploratory Data Analytics

Learn how to conduct exploratory data analytics on Google Cloud Platform.

Course 3: The Essential Elements of Predictive Analytics and Data Mining

Learn the basics of data mining and predictive analytics. Explore a real-world project, from defining the problem to putting the solution into practice; review CRISP-DM; and more.

Course 4: Data Science on Google Cloud Platform: Predictive Analytics

Learn how to use Google Cloud Platform to train and deploy machine learning models for predictive analytics.

Course 5: Data Analytics for Pricing Analysts in Excel

Learn how to use pricing analysis to maximize firm profits with scenario analysis, price optimization, and data analytics in Excel.

Course 6: Financial Forecasting with Big Data

Quickly create financial forecasts using big data, predictive analytics, and Microsoft Excel.

Course 7: Business Analytics Foundations: Predictive, Prescriptive, and Experimental Analytics

Learn about the stages in business analytics used to predict future events and improve decision-making: predictive analytics, prescriptive analytics, and experimental analytics.

Course 8: 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 9: Amazon Web Services: Data Analytics

Learn about best practices, patterns, and tools for designing and implementing data analytics using AWS.

Taught by

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