RSS Featured Blog Posts
  • The Halley’s comet Data Scientist
    Image source: Wikipedia Introduction This post is about how not to be the Halley’s comet Data Scientist i.e. to keep yourselves motivated in your Data Science journey The views expressed here are my own Many professionals want to transition their career to AI. But most will not Often, we see a…
    ajit jaokar
  • Intro to Data Science for Managers [Mindmap]
    Data science has become an integral part of many modern projects and businesses, with an increasing number of decisions now based on data analysis. The data science industry is experiencing an acute …
    Igor Bobriakov
  • Learning Mathematics for Data Science
    I am halfway through my journey of being enough Mathematically literate to understand and work comfortably with Data Science books, posts, articles and journals. I wrote about my learning sabbatical earlier here.  Before I go on I want to reiterate few things which have established my way of learning and working.  Whenever I want to […]
    Arnuld
  • 29 Statistical Concepts Explained in Simple English - Part 3
    This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on…
    Vincent Granville
  • The Key to Unlock Digital Transformation
    Digital Transformation is exploiting digital technologies and data to enhance the firm’s business model. Unfortunately, a Forbes study says that 84% of the Digital Transformation initiatives fail. There are many reasons for this and one important reason is tied to the way businesses inherently operate. Basically, businesses exist to earn profits and driving profits or […]
    Prashanth Southekal, PhD

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 *