RSS Featured Blog Posts
  • Poker, Probability, Monte Carlo, and R
    My daughter just started a business analytics Master's program. For the probability sequence of the core statistics course, one of her assignments is to calculate the probability of single …
    steve miller
  • What a CEO needs to know about Machine Learning algorithms
    During my first project in McKinsey in 2011, I served the CEO of a bank regarding his small business strategy. I wanted to run a linear regression on the bank's data but my boss told me: "Don't do it. They don't understand statistics". (We did not use Machine…
    Pedro URIA RECIO
  • Are You Ready To Become A Chief Data Scientist?
    You know who you are. A high-calibre machine learning magician, a well-versed wrangler of data... but you want a bit more from your role. That may be progression, more money or the chance to work on new, more exciting projects, but where do you go from here?   Many companies are looking to increase investment […]
    Matt Reaney
  • Artificial Intelligence (AI) in Retail Market to hit $8bn by 2024
    Artificial Intelligence (AI) in Retail Market size is set to exceed USD 8 billion by 2024; according to a new research report by Global Market Insights, Inc.  The AI in retail market is driven by the increasing investments in it across the globe. The growing investment in the technology is attributed to the wide applications […]
    Sagar
  • Summarize and explore the data using SmartEDA
    Created an R package for exploratory data analysis. Package name is SmartEDA now available on CRAN. This package includes multiple custom functions to perform initial exploratory analysis on any input data describing the structure and the relationships present in the data. The generated output can be obtained in both summary and graphical form. The graphical form […]
    Dayanand

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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