Many people new to data science might believe that this field is just about R, Python, Hadoop, SQL, and traditional machine learning techniques or statistical modeling. B...
This article on data visualization tools was written by Jessica Davis. She’s passionate about the practical use of business intelligence, predictive analytics, an...
Originally posted on Analytic Bridge By Dan Kellett, Director of Data Science, Capital One UK Disclaimer: This is my attempt to explain some of the ‘Big Data’ co...
When we talk about innovative services or products, many startups follow a smoother model of development. This allows them to minimize the risk to be able to have improv...
This article was written by Pallavi Poojary. In a world where 2.5 quintillion bytes of data is produced every day, a professional who can organize this humongous data...
There’s a lot of literature on learning the technical aspect of data science: statistics, machine learning, data munging, big data. This material will serve you wel...
This article was written by Hannah Augur. Hannah is a writer, editor and nerd based in Berlin. She’s a researcher with knowledge and work in a variety of fields, i...
This article was posted by Roger Huang. Roger Huang heads up growth and marketing at Springboard. He broke into a career in data by analyzing $700 million worth of sal...
The proliferation of data and the huge potentialities for companies to turn data into valuable insights are increasing more and more the demand of Data Scientists. But wh...
How well prepared is your organization to innovate, using data science? In this report, two leading data scientists at the consulting firm Booz Allen Hamilton describe te...