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Webcasts & Webinars on Analytics, Big Data,
Data Mining, Data Science, and Statistics

          

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May 22 Analytically Speaking, on statistics, visualization, predictive modeling, variable selection, linear and nonlinear mixed models, multiple testing, density estimation, genomics and clinical research, by JMP and Russ Wolfinger
May 22
8 AM PT
11 AM ET
Reducing the Implementation Efforts of Hadoop, NoSQL and Analytic Databases, by Pentaho.
May 22
10 AM PT
1 PM ET
Earn Your Master of Science Degree in Data Analytics, Online, by CUNY and a panel of experts.
May 23
10 AM PT
1 PM ET
Introducting Alteryx Strategic Analytics 8.5, by Alteryx.
May 23
10 AM PT
1 PM ET
Big Data Analytics without Big Data Complexity, HP Vertica.
May 29
8 AM PT
11 AM ET
Reporting, Visualization and Prediction from Hadoop, by Pentaho.
Jun 10 Analytically Speaking, on JMP Scripting Language, DOE, predictive modeling, analytical application development, statistical process control, applied statistics, by JMP and Wayne Levin
June 7
- July 5
Text Mining. This course will introduce the essential techniques of text mining, understood here as the extension of data mining's standard predictive methods to unstructured text, by Nitin Indurkhya
Jun 12
8 am PT
11 am ET
Data Mining: Failure to Launch, by The Modeling Agency.
Jun 12
10 am PT
1 pm ET
Real-Time Predictive Analytics, by Inkiru and Forrester.
Jul 17 Analytically Speaking, on predictive analytics, data mining, customer relationship management, Web analytics, fraud detection, credit risk management. By JMP and Bart Baesens.
Jul 18
1 pm PT
4 pm ET
Data Mining: Failure to Launch, by The Modeling Agency.
July 19
- Aug 16
Natural Language Processing. This course is designed to give you an introduction to the algorithms, techniques and software used in natural language processing (NLP), by Nitin Indurkhya
Aug 14 Analytically Speaking, on linear mixed models, linear and nonlinear optimal designed experiments, neural networks, reliability modeling, data visualization, predictive modeling, quality improvement, categorical data analysis. By JMP and JMP Development: A JMP 11 Preview.
Aug 30
- Sep 20
Sentiment Analysis. Sentiment Analysis refers to the process of identifying, extracting and classifying opinions in text segments. With the rise of social media and the ability of end-users to express and share their personal views easily, the need to automatically gauge user-sentiment has become increasingly important for CRM, online advertising and brand analysis, by Nitin Indurkhya
Sep 18 Analytically Speaking, on statistics, business improvement, Quality by Design, Lean Six Sigma, process improvement initiatives, strategic planning, project selection, process management. By JMP and Roger Hoerl and Ronald Snee.
Oct 16 Analytically Speaking, on design of experiments, including optimal, blocked, split-plot, Taguchi, discrete choice experiments, model-robust designs, experimental design for nonlinear models and multi-response data, PLS, computer-aided statistical pedagogy, graphical user interface design, regression, analysis of variance, operations research. By JMP and Bradley Jones and Chris Nachtsheim.

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