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Tuesday, October 16, 2018 at 1:01pm.
Predictive Analytics and Modeling -R Programming
Nedspace is a startup accelerator in downtown Portland, Oregon.
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Description
Data Science Is the Future of Everything
Predictive Modeling and Analytics with R
Join us for our Predictive Modeling and Analytics workshop on Saturday, November 10th, 2018; featuring Martin Jetton, with 30+ years of advanced supply chain analytics, predictive analytics, and statistical consulting experience. In his previous role, he was the Senior Predictive Consultant at Corios; where he developed predictive models and scorecards, forecast trends, identify uncertainties, and assign the ideal strategies to maximize performance.
The world has now turned into a digital workspace. Online activity and real-world sensors are generating torrents of data about everything from weather to crime to our buying habits. Increasing computer power and new analytical techniques promise to turn masses of raw data into actionable intelligence—and thereby transform a variety of industries and propel us to a data-driven economy. According to analysts, the Data Analytics market will be almost $50B by 2020. Coupled with the estimation that by 2019 there will nearly 1.2 million open data jobs with no one to fill them, it is clear that understanding and communicating with data will be critical for impact. The skills needed to be a Business Analyst, Data Analyst, or Data Scientist are all about to be in real demand, and our trainings with experience Data Science Practitioners will help you get head start! (International Data Corporation).
HOW COMPANIES ARE USING R?
Facebook - For behavior analysis related to status updates and profile pictures. Google - For advertising effectiveness and economic forecasting. Twitter - For data visualization and semantic clustering Microsoft - Acquired Revolution R company and use it for a variety of purposes. Xbox uses R for a great gaming experience. Uber - For statistical analysis Airbnb - Scale data science. IBM - To help create IBM Watson, an open, cognitive computing technology platform that represents a new era in computing where systems understand the world like humans do: through senses, learning, and experience.
This course will introduce you to some of the most widely used predictive modeling techniques and their core principles. By taking this course, you will form a solid foundation of predictive analytics, which refers to tools and techniques for building statistical or machine learning models to make predictions based on data. You will learn how to carry out exploratory data analysis to gain insights and prepare data for predictive modeling, an essential skill valued in the business.
WHY R PROGRAMMING FOR PREDICTIVE ANALYTICS?
R is a programming language originally written for statisticians to do statistical analysis, including predictive analytics. It’s open-source software, used extensively in academia to teach such disciplines as statistics, bioinformatics, and economics. From its humble beginnings, it has since been extended to do data modeling, data mining, and predictive analysis.
ABOUT THE INSTRUCTOR
Martin Jetton has 30+ years of advanced supply chain analytics, predictive analytics, and statistical consulting experience. He's currently a Principal at the Liberty Advisor Group, where he works in advanced supply chain analytics. In his previous role, he was the Senior Predictive Consultant at Corios; where he developed predictive models and scorecards, forecast trends, identify uncertainties, and assign the ideal strategies to maximize performance. The firm’s clients are in the banking, brokerage, credit, utilities and healthcare industries.
SOLD OUT?
This is one of our high demand classes. In the case, we sale out; email us at [email protected] and ask when our next course will be in.