Jun | Jul | Aug | Sep | Oct | Nov | Dec | Jan 2019

---

---

On-demand

 

June 2018

• Jun 3, 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. Instructor: Marc Smith, Chief Social Scientist, Connected Action Consulting Group, PAW. Las Vegas, NV, USA.
• Jun 3, 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. Instructor: Max Kuhn, Software Engineer, RStudio, PAW. Las Vegas, NV, USA.
• Jun 4, The Best of Predictive Analytics: Core Machine Learning and Data Science Techniques, This one-day session at Predictive Analytics World Las Vegas describes the key inner workings of leading machine learning algorithms, demonstrate their performance with business case studies, compare their merits, and show you how to select the method and tool best suited to each predictive analytics project. Instructor: Dr. John Elder, CEO and Founder, Elder Research, Inc., PAW. Las Vegas, NV, USA.
• Jun 4, 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. Instructor: Max Kuhn, Software Engineer, RStudio, PAW. Las Vegas, NV, USA.
• Jun 4, The Advanced Data Preparation Bootcamp: Whip your Data into Shape, This is a one-day workshop at Predictive Analytics World Las Vegas. As crucial as it is, data preparation is perhaps the most under-taught part of the predictive analytics (machine learning) process. This workshop will cover the most important aspects of data preparation. Instructor: Dean Abbott, President, Abbott Analytics, PAW. Las Vegas, NV, USA.
• Jun 4, 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. Instructors: James McCaffrey, Senior Scientist Engineer at Microsoft and Ricky Loynd, Deep Reinforcement Learning Research Group at Microsoft, PAW. Las Vegas, NV, USA.
• Jun 4-6, Data Mining Techniques: Theory and Practice, Gordon S. Linoff, Data Miners, Inc., SAS. Atlanta, GA, USA.
• Jun 6-8, Strategies and Concepts for Data Scientists and Business Analysts, Catherine Truxillo, Ph.D., or Jeffrey Thompson, Ph.D., or Peter Christie, or Chris Daman, SAS. Chicago, IL, USA.
• June 7, 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. Instructor: Dr. John Elder, CEO and Founder, Elder Research, Inc., PAW. Las Vegas, NV, USA.
• Jun 7, Uplift Models: Optimizing the Impact of Your Marketing, This is one-day session at Predictive Analytics World Las Vegas demonstrates how to build Uplift Models (a.k.a., Net Lift Models) that optimize the incremental impact of marketing campaigns, covering the pros and cons of various core analytical approaches. Instructor: Kim Larson, Director of Marketing Analytics, Uber, PAW. Las Vegas, NV, USA.
• Jun 7, 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. Instructor: Dean Abbott, President, Abbott Analytics, Inc., PAW. Las Vegas, NV, USA.
• Jun 7, 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. Instructor: James Casaletto, Senior Solutions Architect, MapR Technologies, PAW. Las Vegas, NV, USA.
• Jun 8, Text Mining, taught by Dr. Anurag Bhardwaj (Director Data Science at eBay) - hands-on introduction to text mining, using Python (repeats on Feb 1, 2019). Required course for Programming for Data Science Certificate Program: R (novice), Programming for Data Science Certificate Program: R (experienced). Use promo code kdnuggets18 for $50 discount. 4 weeks, online at Statistics.com.
• Jun 14-20, Ontotext Designing Semantic Technology POC - Preclass Training, Live Session: June 21.
• Jun 18 - Jul 13, BIG DIVE 7, 4-week full-time training to become a fully equipped data scientist diving in real cases about data engineering, data analysis, machine learning, deep learning, computer vision, network science on images, geospatial and financial data. Turin, Italy.
• Jun 18, 11 am ET / 8 am PT Applied AI & Machine Learning | Building an Enterprise Operation, Live Online Classroom by The Modeling Agency, LLC.
• Jun 20-22, Advanced Analytics in a Big Data World, Bart Baesens, Ph.D., or Christophe Mues, Ph.D., or Cristian Bravo, Ph.D., University of Southampton (UK); or Wouter Verbeke, Ph.D., University of Brussels (Belgium); or Stefan Lessmann, Ph.D., Humboldt University (Germany), SAS. Chicago, IL, USA.
• Jun 25-28, Credit Risk Modeling, Bart Baesens, Ph.D., or Christophe Mues, Ph.D., University of Southampton (UK); or Wouter Verbeke, Ph.D., University of Brussels (Belgium), SAS. San Francisco, CA, USA.
• Jun 29, Interactive Data Visualization, taught by Dr. Galit Shmueli (Distinguished Professor of Data Analytics, Institute of Service Science, National Tsing Hua University, Taiwan) - learn to discern meaningful patterns, trends, relationships, and exceptions that reveal business performance, potential problems and opportunities through the exploration of quantitative business data. (Repeats on Oct 26, 2018 and Feb 8, 2019). Required course for Analytics for Data Science Certificate. Use promo code kdnuggets18 for $50 discount. 4 weeks, online at Statistics.com.

 

July 2018

• July 2-5, Advanced School on Data Science for Big Data, Porto, Portugal.
• Jul 6, Designing Valid Statistical Studies, taught by Dr. Eli Rosenberg (Professor of Epidemiology at the SUNY Albany School of Public Health) and Dr. David Kleinbaum (Professor of Epidemiology at the Rollins School of Public Health at Emory University) - for those who need to design, or review the designs of, statistical studies. (Repeats on Feb 15, 2019.). Required course for Social Science Certificate Program. Use promo code kdnuggets18 for $50 discount. 4 weeks, online at Statistics.com.
• July 9-13, 5-Day Data Science & Data Engineering Bootcamp, by Data Science Dojo, Barcelona, Spain.
• Jul 13, Natural Language Processing (NLP), taught by Dr. Nitin Indurkhya (author of Emerging Trends in Predictive Text Mining) - an introduction to the algorithms, techniques and software used in NLP (repeats on March 1, 2019). Elective course for Analytics for Data Science Certificate, Programming for Data Science Certificate: Python (experienced). Use promo code kdnuggets18 for $50 discount. 4 weeks, online at Statistics.com.
• July 16-19, Advancing the Analytics-Driven Organization, Live Online Classroom by The Modeling Agency, LLC.
• Jul 30 – Aug 3, 5-Day Data Science & Data Engineering Bootcamp, by Data Science Dojo, Austin, TX, USA.

August 2018

• Aug 13-17, 5-Day Data Science & Data Engineering Bootcamp, by Data Science Dojo, Singapore.
• Aug 24, Persuasion Analytics and Targeting, taught by Ken Strasma (co-founder and CEO of HaystaqDNA) - learn to apply predictive modeling methods to micro-target individuals and induce them to act (repeats on March 1, 2019). Required course for Analytics for Data Science Certificate, Programming for Data Science Certificate (all). Use promo code kdnuggets18 for $50 discount. 4 weeks, online at Statistics.com.
• August 27-31, Data Science & Data Engineering Bootcamp, by Data Science Dojo, Toronto, ON, Canada.

September 2018

 

October 2018

• Oct 5 - Dec 1, Machine Learning with Python, Professor Sven Buchholz, University of Applied Sciences Brandenburg.
• Oct 8-12, 5-Day Data Science & Data Engineering Bootcamp, by Data Science Dojo, Washington, DC, USA.
• Oct 9-11, Survival Data Mining: A Programming Approach, Chip Wells, Ph.D., or Bob Lucas, Ph.D., or Mike Patetta, SAS. New York, NY, USA.
• Oct 12 - Dec 8, Data Science certificate course - Modul 1: Datenvorverarbeitung (Data Preparation and Wrangling), Dr. Peter Lauf and Professor Sven Buchholz, University of Applied Sciences Brandenburg.
• Oct 12 - Dec 8, Clinical Data Analytics certificate course - Module 1: Daten aus Klinik und Pflege - Wege und Werkzeuge der Datenanalyse, Professor Thomas Schrader and Professor Eberhard Beck, University of Applied Sciences Brandenburg.
• Oct 17-19, Strategies and Concepts for Data Scientists and Business Analysts, Catherine Truxillo, Ph.D., or Jeffrey Thompson, Ph.D., or Peter Christie, or Chris Daman, SAS. Boston, MA, USA.
• Oct 19, Anomaly Detection, taught by Nitin Indurkhya (author of Emerging Trends in Predictive Text Mining) - learn how to examine data with the goal of detecting anomalies or abnormal instances. Required course for Programming for Data Science Certificate: Python (experienced) and Elective course for Programming for Data Science Certificate: Python (novice). Use promo code kdnuggets18 for $50 discount. 4 weeks, online at Statistics.com.

 

November 2018

• Nov 7-9, Multilevel Modeling of Hierarchical and Longitudinal Data Using SAS®, Catherine Truxillo, Ph.D., or Chris Daman, SAS. Chicago, IL, USA.
• Nov 9, Deep Learning, taught by Dr. Alan Blair (professor in the School of Computer Science and Engineering at the Univ of New South Wales and his research speciality is in the area of neural nets, deep learning and robot navigation) and Dr. Nitin Indurkhya (author of Emerging Trends in Predictive Text Mining) - understand the basic concepts underlying the representations and methods in deep learning and see some applications where deep learning is most effective. (Repeats May 10, 2019). Required course for Programming for Data Science Certificate: Python (experienced). Use promo code kdnuggets18 for $50 discount. 4 weeks, online at Statistics.com.

   

December 2018

 

January 2019

• Jan 11 - Mar 9, Clinical Data Analytics certificate course - Module 2: Mobile Daten und GeoDaten - Untersuchungen zu Versorgungswegen und -strukturen, Professor Thomas Schrader and Professor Eberhard Beck, University of Applied Sciences Brandenburg.