RSS Featured Blog Posts
  • 3 Reasons to Learn the Expected Value Framework for Data Analysis
    One of the most difficult and most critical parts of implementing data science in business is quantifying the return-on-investment or ROI.  In this article, we highlight three reasons you need to learn the Expected Value Framework, a framework that connects the machine learning classification model to ROI.  …
    Matt Dancho
  • Remotely Send R and Python Execution to SQL Server from Jupyter Notebooks
    Introduction Did you know that you can execute R and Python code remotely in SQL Server from Jupyter Notebooks or any IDE? Machine Learning Services in SQL Server eliminates the need to move data around. Instead of transferring large and sensitive data over the network or losing accuracy on ML training with sample csv files, […]
    Kyle Weller
  • Weekly Digest, July 16
    Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. Featured Resources and Technical Contributions Best Machine Learning Tools:…
    Vincent Granville
  • Critically Reading Scientific Papers
    Critically reading scientific papers is critical for Data Scientists working some areas - especially those working in health. With that in mind, here are some key considerations in reading scientific (peer-review, grey literature) papers: Theory: Is the theory sound? Are there theoretical issues in the design that cause…
    Howard Friedman
  • The art of data science...
    In 2018, Fast Company declared ‘Data Scientist’ as the best job in America for the third…
    Ziyad Nazem

Data Science Research

According to McKinsey Global Institute research, by 2018 the United States will experience a shortage of 190,000 skilled data scientists, and 1.5 million managers and analysts capable of reaping actionable insights from the big data deluge.

There are many great resources available to advance your data career. These are just a few that Data Science Beagle finds helpful and targeted to technology professionals. If you find something brilliant, please share.

Get Data on Data.gov

The home of the U.S. Government’s open data. Here you will find data, tools, and resources to conduct research, develop web and mobile applications, design data visualizations, and more.

Dallas Ft. Worth

Divergence Academy a private institution approved to operate by the Texas Workforce Commission Career Schools & Colleges

Master of Science Business Analytics at UNT

DataScience@SMU

University Programs, Online, Part-Time and Full-Time

Master of Information and Data Science at Berkeley

23 Great Schools with Master’s Programs in Data Science

Hands-on Bootcamps in Dallas, NYC and San Francisco

12-week Immersive in Dallas with a career services program

12-week Intensive in NYC with an immersive job placement program

6-week Intensive  in NYC Data Engineering Bootcamp

Metis NYC and SF accelerates your career in data science

Programming Skills

HackReactor

Skill Crush

Galvanize

Continuing Education

SMU CAPE Data Analytics Courses

Explore Data Science at Coursera

Certificate Programs

Syracuse University

The Certificate of Advanced Study (CAS) in Data Science at the Syracuse University School of Information Studies (iSchool) is a 15-credit graduate-level certificate that can be taken as a stand-alone certificate or as part of a graduate degree program.

Harvard Extension School

Learn how to analyze data to gain insights, develop new strategies, and make decisions in areas as diverse as product design, marketing, and finance.

University of Washington

Learn to apply data science in fields such as marketing, business intelligence, scientific research and more.

 

 

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