2017 Jan Courses, Education
All (69) | Courses, Education (7) | Meetings (10) | News, Features (16) | Opinions, Interviews (20) | Software (2) | Tutorials, Overviews (14)
- Discover the new Modern Data Science Academy
- Jan 17, 2017.
The Modern Data Science Academy provides state-of-the-art workshops taught by San Diego Supercomputer Center experts. Coming workshops on Machine Learning (Feb 8-9) and NoSQL Databases (Mar 1-2).
- Doctor of Business Administration/Data Analytics, Online at Grand Canyon University
- Jan 12, 2017.
Offered in a convenient online format, this doctoral program empowers expert data analysts to spark new industry-wide innovation.
- 4 ways to learn about Deep Learning, Anomaly Detection and more Data Science topics online at Statistics.com
- Jan 11, 2017.
Online courses at Statistics.com are small, with rich and engaging content that includes readings, videos, quizzes, homework, projects, and practical work with software. Use promo code deepkdn17 to save.
- Prepare for Growing Data Field with Merrimack College
- Jan 10, 2017.
Merrimack College online MS in Data Science and MS in Business Analytics degrees provide a personalized and convenient curriculum that teaches the skills employers demand.
- Big Data to Big Profits: Strategies for Monetizing Social, Mobile, and Digital Data with Data Science, Mar 23-24, San Francisco
- Jan 9, 2017.
This course will examine how firms can take big data to big profits through data monetization strategies and the best use of data science for growth and innovation across your organization.
- Get a data science job, guaranteed
- Jan 4, 2017.
Springboard, a leader in data science education, is launching the first data science bootcamp to guarantee you a data science career -- or your money back. The program is very selective, so apply quickly to see if you qualify.
- Fundamentals of Machine Learning for Predictive Data Analytics, Dublin, 21-23 March, 2017
- Jan 4, 2017.
Based on the trainers book, this course presents a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.