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.
Machine Learning and AI Foundations: Predictive Modeling Strategy at Scale with Keith McCormick
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.
1h 21m • COURSE
Data Science on Google Cloud Platform: Exploratory Data Analytics with Kumaran Ponnambalam
Learn how to conduct exploratory data analytics on Google Cloud Platform.
57m 30s • COURSE
The Essential Elements of Predictive Analytics and Data Mining with Keith McCormick
Learn the basics of data mining and predictive analytics. Learn the steps of a real-world project, from defining the problem to putting the solution into practice, and review CRISP-DM and the 9 laws of data mining.
1h 28m • COURSE
Data Science on Google Cloud Platform: Predictive Analytics with Kumaran Ponnambalam
Learn how to use Google Cloud Platform to train and deploy machine learning models for predictive analytics.
39m 37s • COURSE
Data Analytics for Pricing Analysts in Excel with Michael McDonald
Learn how to use pricing analysis to maximize firm profits with scenario analysis, price optimization, and data analytics in Excel.
1h 26m • COURSE
Financial Forecasting with Big Data with Michael McDonald
Quickly create financial forecasts using big data, predictive analytics, and Microsoft Excel.
1h 21m • COURSE
Business Analytics Foundations: Predictive, Prescriptive, and Experimental Analytics with Kumaran Ponnambalam
Learn about the stages in business analytics that are used to predict future events and improve business decision-making—predictive analytics, prescriptive analytics, and experimental analytics. Explore the tools, techniques, and best practices used for each stage.
42m 10s • COURSE
Business Analytics Foundations: Descriptive, Exploratory, and Explanatory Analytics with Kumaran Ponnambalam
Learn about the three types of data analytics used to analyze past business performance: descriptive, exploratory, and explanatory analytics.
42m 53s • COURSE
Amazon Web Services: Data Analytics with Lynn Langit
Learn about best practices, patterns, and tools for designing and implementing data analytics using AWS.
2h 49m • COURSE
You'll learn predictive analytics skills with these experts.
Keith McCormick is an independent data miner, trainer, speaker, and author.
Keith is skilled at explaining complex methods to new users or decision makers at many levels of technical detail. He specializes in predictive models and segmentation analysis including classification trees, neural nets, general linear model, cluster analysis, and association rules.
Kumaran Ponnambalam has been working with data for more than 20 years.
He has built enterprise and cloud applications that ingest data to produce meaningful insights for its consumers. Data has always intrigued Kumaran and he has always searched for ways to mine, manage, and master it. Using analytics to solve business problems is his key interest domain. Of late, he has taken a keen interest in building quality courses for people to understand and use data. Big data analytics is fast growing, but quality education, especially in application areas, is lacking and he wants to contribute to it.
Michael McDonald is a researcher and professor of finance at Fairfield University.
He has extensive programming skills in SAS, Stata, Python, R, and SQL, among other programming languages. His past work experience includes using these programming languages to analyze big data sets in finance and economics and develop trading strategies based on data mining. He has done extensive work in investment banking, at tech startups, hedge funds, and on a wide variety of consulting projects. He has a track record of authoring creative and practical course materials for a variety of subject areas across business disciplines.
Michael's core knowledge is focused on financial markets and investment decision-making. He has helped advise firms on capital investments, valuation issues, and capital allocation to enhance business strategy. He is the author of multiple research studies addressing complex questions across the finance discipline. Michael's work has been cited by the Wall Street Journal, Bloomberg, the CFA Institute, and many others.
Lynn Langit is a cloud architect who works with Amazon Web Services and Google Cloud Platform.
Lynn specializes in big data projects. She has worked with AWS Athena, Aurora, Redshift, Kinesis, and the IoT. She has also done production work with Databricks for Apache Spark and Google Cloud Dataproc, Bigtable, BigQuery, and Cloud Spanner.
Lynn is also the cofounder of Teaching Kids Programming. She has spoken on data and cloud technologies in North and South America, Europe, Africa, Asia, and Australia.