Courses and Bootcamps in AI, Big Data,
Data Science, Machine Learning
Feb | Mar | Apr | May | Jun | Jul | Aug
February 2019
- Feb 7, Top-rated sessions from PASS Summit 2018. Register now for Data Expert Series and learn from the experts of Architecture, Data Management, and Analytics. Online.
- Feb 12 - 21, Best practices for machine learning engineers, by AICamp.
- Feb 23, Bootcamp on Machine Learning in Action, by AICamp.
- Feb 25 - Mar 1, 5-Day Data Science & Data Engineering Bootcamp, by Data Science Dojo. Barcelona, Spain.
- Feb 25 - Mar 1, Wharton Executive Education: Customer Analytics, Philadelphia, PA, USA.
- Feb 28 - Mar 1, Applied (Advanced) Analytics with R. This course will cover the application of several descriptive, predictive and prescriptive analytic techniques. The emphasis will be on the general purpose of these techniques along with integration and application in R rather than on the theoretical nature. University of Cincinnati. Cincinnati, OH, USA.
March 2019
- 4 March - 26 April, Basecamp.ai Data Science bootcamp, Bratislava, Slovakia.
- Mar 11-14, Learn Machine Learning with Jube, R, Netica and Exhaustive, learn how to implement machine learning in a real business environment. Learn how to install, administer and maintain the Jube platform then integrate Linear Regression in R, Logistic Regression in R, Decision Trees in R, Neural Networks in R, and more. Atlanta, GA, USA.
- Mar 18 - Apr 3, Data Visualization with Python, The Data Incubator, live online course for busy professionals. Learn data visualization skills with powerful open-source Python tools. This part-time program features live lectures online at TheDataIncubator.com.
- Mar 25-29, 5-Day Data Science & Data Engineering Bootcamp, by Data Science Dojo. Washington DC, USA.
April 2019
- Apr 22-26, 5-Day Data Science & Data Engineering Bootcamp, by Data Science Dojo. Chicago, IL, USA.
- Apr 29 - May 2, Learn Machine Learning with Jube, R, Netica and Exhaustive, learn how to implement machine learning in a real business environment. Learn how to install, administer and maintain the Jube platform then integrate Linear Regression in R, Logistic Regression in R, Decision Trees in R, Neural Networks in R, and more. New York, NY, USA.
May 2019
June 2019
- on-demand, Predictive Analytics Applied – An Online Introduction. New to predictive analytics? Take this online course before Predictive Analytics World Las Vegas instructed by the chair of PAW to ramp up before the conference. On-demand access at any time. Eric Siegel, PhD, Conference Chair, Predictive Analytics World.
- Jun 16, Big Data: Proven Methods You Need to Extract Big Value. This full day workshop at Predictive Analytics World Las Vegas reviews major big data success stories that have transformed businesses and created new markets. Marc Smith, Chief Social Scientist, Connected Action Consulting Group. Las Vegas, NV, USA.
- Jun 16, R Bootcamp: For Newcomers to R. This two and a half hour workshop at Predictive Analytics World Las Vegas launches your tenure as a user of R, the well-known open-source platform for data analysis. Brennan Lodge, Data Scientist VP, Goldman Sachs. Las Vegas, NV, USA.
- Jun 17, The Best of Predictive Analytics: Core Machine Learning and Data Science Techniques. This one-day session at Predictive Analytics World Las Vegas surveys standard and advanced methods for predictive modeling (aka machine learning). Dr. John Elder, CEO and Founder, Elder Research, Inc. Las Vegas, NV, USA.
- Jun 17, R For Predictive Modeling: A Hands-On Introduction. This is a full day session at Predictive Analytics World Las Vegas. This session provides a hand-on introduction to R, the well-known open-source platform for data analysis. Real examples are employed in order to methodically expose attendees to best practices driving R and its rich set of predictive modeling (machine learning) packages, providing hands-on experience and know-how. Brennan Lodge, Data Scientist VP, Goldman Sachs. Las Vegas, NV, USA.
- Jun 17, Supercharging Prediction with Ensemble Models. This is a one-day workshop Predictive Analytics World Las Vegas. Once you know the basics of predictive analytics and machine learning—including data explorations, data preparation, model building, and model evaluation—what can be done to improve model accuracy? One key technique is the use of model ensembles. Dean Abbott, Co-Founder and Chief Data Scientist, SmarterHQ. Las Vegas, NV, USA.
- Jun 17, Deep Learning in Practice: A Hands-On Introduction. This one-day introductory workshop at Deep Learning World Las Vegas dives deep. You will explore deep neural classification, LSTM time series analysis, convolutional image classification, advanced data clustering, bandit algorithms, and reinforcement learnings. James McCaffrey, Senior Scientist Engineer at Microsoft. Las Vegas, NV, USA.
- Jun 20, The Deadly Dozen: The Top 12 Analytics Mistakes and the Techniques to Defeat Them. This one-day session at Predictive Analytics World Las Vegas reveals the subtle mistakes analytics practitioners often make when facing a new challenge (the “deadly dozen”), and clearly explains the advanced methods seasoned experts use to avoid those pitfalls and build accurate and reliable models. Dr. John Elder, CEO and Founder, Elder Research, Inc. Las Vegas, NV, USA.
- Jun 20, Spark on Hadoop for Machine Learning: Hands-On Lab. This is a full-day workshop at Predictive Analytics World Las Vegas. Standard machine learning platforms need to catch up. As data grows bigger, faster, more varied—and more widely distributed—storing, transforming, and analyzing it doesn’t scale using traditional tools. Apache Hadoop and Apache Spark provide a powerful platform and mature ecosystem with which to both manage and analyze distributed data. James Casaletto, Senior Solutions Architect, MapR Technologies. Las Vegas, NV, USA.
- Jun 20, Hands-On Deep Learning in the Cloud: Fast and Lean Data Science with Tensorflow, Keras, and TPUs. This is a full-day workshop at Deep Learning World Las Vegas. Training deep learning models used to be a game of patience. Training runs took hours and you needed hundreds of them to tune a model. Well, at least, it gave researchers the time to read new ML papers. Today, as software engineers add machine learning to their skill sets, they need to work faster because they have products to ship. Martin Gorner, Developer Relations at Google. Las Vegas, NV, USA.
- Jun 24-28, 5-Day Data Science & Data Engineering Bootcamp, by Data Science Dojo. New York, NY, USA.
July 2019
- 5 - 19 July, MACHINE LEARNING AND INTELLIGENT OPTIMIZATION APPLIED TO TOURISM AND HOSPITALITY, Trento/Garda, Italy.
- Jul 8-12, 5-Day Data Science & Data Engineering Bootcamp, by Data Science Dojo. Singapore.
August 2019
- Aug 19-23, 5-Day Data Science & Data Engineering Bootcamp, by Data Science Dojo. Toronto, ON, Canada.