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Courses/Training on Analytics, Big Data, Data Mining, and Data Science


 
  
Past | 2017 Jan | Feb | Mar | Apr | May | Jun | Jul |   

January 2017

WhenEvent
Jan 1-31 Big Data Analyst by Experfy (Harvard Innovation Lab)
Online. Use code BIGDATA25 for 25% OFF
Jan 6 - Mar 4 Quantitative Methods und Data Mining module of Certificate Course in Data Science (in German), By Peter Lauf and Sven Buchholz, University of Applied Sciences Brandenburg
Brandenburg, Germany.
Jan 9-13 Data Science & Data Engineering Bootcamp, by Data Science Dojo
Redmond, WA, USA.
Jan 9 - Mar 3 An immersive 8-week intensive course on Data Science, by Basecamp.ai
Vienna, Austria.
Jan 11-13 Data Strategy for Business Leaders, By U. of California, Berkeley
Berkeley, CA, USA.
Jan 13
(4 weeks)
R Programming Advanced taught by Dr. Oliva Lau (self-described R ninja at Google) - master the key concepts for writing advanced R code, emphasizing the design of functional and efficient code (repeats on May 19)
online at Statistics.com
Jan 20-22 Big Data Bootcamp, by Global Big Data Conference
Santa Clara Convention Center, CA, USA.
Use code KDNUGGETS to receive up to $200 discount
Jan 23-27, Mar 6-10 DataMaster: 10 days to rapidly develop the data analysis skills you need., By BMGI
Denver, CO, USA.
Jan 23-27 Data Science & Data Engineering Bootcamp, by Data Science Dojo
Austin, TX, USA.

February 2017

WhenEvent

The Modeling Agency courses, LIVE ONLINE:
Jan 30-31 Predictive Analytics for the Enterprise: Project Planning: Opportunity Identification and a Roadmap for Low-Risk / High-Impact Projects
Feb 6-9 Predictive Analytics for the Enterprise: Model Development: A Practitioner's View of Predictive Modeling Methods, Tactics, Tools And Techniques
Feb 13-14 BIG DATA Rhetoric & Reality: Fiction, Friction, Fundamentals & Facts.
Feb 27-Mar 2 Advancing the Analytics-Driven Organization: The Essential Soft Skills and Strategic Framework for Leading a Goal-Centered Analytics Practice
Starts Jan 30 Predictive Analytics for the Enterprise: Strategic Implementation: A Comprehensive and Active Experience of Modern Organizational Analytics.

 
Feb 3
(4 weeks)
Text Mining, taught by taught by Dr. Nitin Indurkhya (author of Emerging Trends in Predictive Text Mining) and Dr. Anurag Bhardwaj (Data Scientist at QuadAnalytix, and before that at eBay) - hands-on introduction to text mining, using Python (repeats on June 9)
online at Statistics.com
Feb 13-17 Data Science & Data Engineering Bootcamp, by Data Science Dojo
Amsterdam, Netherlands.
Feb 20-24 Data Science & Data Engineering Bootcamp, by Data Science Dojo
Singapore.
Feb 24
(4 weeks)
Geospatial Data Mapping with QGIS, taught by Nick Bearman (Senior GIS Analyst at Clear Mapping Co) - learn mapping with this popular open source GIS
online at Statistics.com

March 2017

WhenEvent
Mar 1-2 ODSC Masterclass Data Science Training, By ODSC
San Francisco, CA, USA.
Mar 3
(4 weeks)
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 July 14)
online at Statistics.com
Mar 3
(4 weeks)
Persuasion Analytics and Targetting, 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 Aug 25)
online at Statistics.com
Mar 10
(4 weeks)
Logistic Regression, taught by Dr. James Hardin (Research Associate Professor at the Univ of South Carolina and co-author of Generalized Estimating Equations) - modeling binary outcome data (repeats on Sept 1)
online at Statistics.com
Mar 13-17 Data Science & Data Engineering Bootcamp, by Data Science Dojo
Toronto, ON, Canada.
Mar 20-24, May 1-5 DataMaster: 10 days to rapidly develop the data analysis skills you need., By BMGI
Denver, CO, USA.
Mar 21-23 Fundamentals of Machine Learning for Predictive Data Analytics, By Dr. Brian Mac Namee and Dr. John Kelleher
Dublin, Ireland.
Mar 24
(4 weeks)
Bayesian Statistics in R, taught by Peter Congdon (Research Professor in Quantitative Geography and Health Statistics at Queen Mary University of London, the author of Bayesian Statistical Modeling and Applied Bayesian Modeling) - learn how to specify and run Bayesian modeling procedures using regression models for continuous, count and categorical data (repeats on Sept 22)
online at Statistics.com
Mar 24
(4 weeks)
Big Data Computing with Hadoop, taught by Marck Vaismann (lead data scientist at Booz Allen) - analytics professionals will be introduced to Hadoop and Spark, and provided with an exemplar workflow for using Hadoop. They also will be introduced to writing Spark and MapReduce jobs, and leveraging Hadoop Streaming to conclude work in an analytics programming language such as Python.(repeats on Oct 27)
online at Statistics.com
Mar 24
(4 weeks)
Big Data Ingestion - How to use RESTful APIs, taught by Sarah Kelley (Knowledge Engineer and Scrum Master at Carney Labs) - learn how to write Python code to ingest data from and communicate with RESTful API's on the web
online at Statistics.com
Mar 27-29 Big Data Bootcamp, by Global Big Data Conference
Santa Clara Convention Center, CA, USA.
Use code KDNUGGETS to receive up to $200 discount

April 2017

WhenEvent
Apr 10-14 Data Science & Data Engineering Bootcamp, by Data Science Dojo
Chicago, IL, USA.
Apr 21
(4 weeks)
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 (repeats on Oct 20)
online at Statistics.com

The Modeling Agency courses, Washington, DC, USA:
Apr 19 BIG DATA Rhetoric & Reality: Fiction, Friction, Fundamentals & Facts.
Apr 20-21 Advancing the Analytics-Driven Organization: The Essential Soft Skills and Strategic Framework for Leading a Goal-Centered Analytics Practice
Apr 24 Predictive Analytics for the Enterprise: Project Planning: Opportunity Identification and a Roadmap for Low-Risk / High-Impact Projects
Apr 26-27 Predictive Analytics for the Enterprise: Model Development: A Practitioner's View of Predictive Modeling Methods, Tactics, Tools And Techniques
Apr 24-28 Predictive Analytics for the Enterprise: Strategic Implementation: A Comprehensive and Active Experience of Modern Organizational Analytics.

 
Apr 28 - Jun 24 Module: Darstellung der Analyseergebnisse (Storytelling) of Certificate Course in Data Science (in German), By Peter Lauf and Sven Buchholz, University of Applied Sciences Brandenburg
Brandenburg, Germany.

May 2017

WhenEvent
May 1-2 Predictive Analytics for the Enterprise: Project Planning: Opportunity Identification and a Roadmap for Low-Risk / High-Impact Projects
By The Modeling Agency, LIVE Online.
Starts May 1 Predictive Analytics for the Enterprise: Strategic Implementation: A Comprehensive and Active Experience of Modern Organizational Analytics.
By The Modeling Agency, LIVE Online.
May 15-18 Predictive Analytics for the Enterprise: Model Development: A Practitioner's View of Predictive Modeling Methods, Tactics, Tools And Techniques
By The Modeling Agency, LIVE Online.
May 15-19, Jun 26-30 DataMaster: 10 days to rapidly develop the data analysis skills you need., By BMGI
Denver, CO, USA.

June 2017

WhenEvent
June 5 - July 28 Basecamp immersive full-time 8-week program for prospective data scientists, by Basecamp
Vienna, Austria.
Jun 19-22 Advancing the Analytics-Driven Organization: The Essential Soft Skills and Strategic Framework for Leading a Goal-Centered Analytics Practice
By The Modeling Agency, LIVE Online.
Jun 26-27 BIG DATA Rhetoric & Reality: Fiction, Friction, Fundamentals & Facts.
By The Modeling Agency, LIVE Online.

July 2017

WhenEvent
Jul 17 - Sep 8 BaseCamp DATA & TRAVEL, an immersive 8-week program for prospective Data Scientists. by Basecamp (Knoyd)
Medellin, Colombia.

August 2017

WhenEvent

September 2017

WhenEvent
Sep 15
(4 weeks)
Natural Language Processing using NLTK, taught by Nitin Indurkhya (author of Emerging Trends in Predictive Text Mining) - use Python and NLTK to perform natural language processing on medium size text corpora.
online at Statistics.com

October 2017

WhenEvent

November 2017

WhenEvent
Nov 10
(4 weeks)
Deep Learning, taught by Dr. Alan Blair and Dr. Nitin Indurkhya - understand the basic concepts underlying the representations and methods in deep learning and see some applications where deep learning is most effective.
online at Statistics.com

 
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