RSS Featured Blog Posts
  • Why is Becoming a Data Scientist so Difficult?
    This question was recently posted on Quora. Below is my answer. It depends what kind of data scientist you want to become. I think many university curricula include material that is advanced but that you don’t really need. Also, they offer not enough practical, professional coding and big data manipulation that would help you right […]
    Vincent Granville
  • Should Python Become Your Official Corporate Language, Along With English?
    English is becoming the official language in the global business world, being currently spoken by approximately 1.75 billion people worldwide according to Harvard Business Review. While English is the fastest spreading language in human history, a significant proportion of businesses are still resistant to giving up…
    Rafael Knuth
  • Weekly Digest, October 22
    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. Announcement…
    Vincent Granville
  • Embracing Conflict to Fuel Digital Innovation
    When talking to clients about their business goals, most business executives are pretty clear as to what they want to accomplish, such as reducing customer churn or reducing inventory costs or improving quality of care or improving product line profitability.  But these “one dimensional” business initiatives really don’t push the organization’s innovative thinking.  For example, […]
    Bill Schmarzo
  • How to Write an R Function to Match and Merge 2 Files (like VLOOKUP)
    Matching and merging 2 files is task I find myself doing all of the time. Historically, I've used VLOOKUP in MS Excel and just worked around any limitations. Finally, I bit the bullet and wrote an R Function that does the trick faster, and with more flexibility. …
    Ray Hall

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.

 

 

Leave a Reply

Your email address will not be published. Required fields are marked *