Many data scientists have years of higher education invested in becoming one. In their professional work life, they have had to probably go through many rings of fire before elevated to the title of data scientist in their organizations. Based on personal experience, reading through college curriculums, blog posts from data scientists, research companies’ papers […]

The field of Data Science and the role of a Data Scientist are hot commodities right now. IBM predicts the demand for Data Scientist will increase 28% by the year 2020. [14] Demand is so high in fact, that in the screenshot below, I show an advertisement from one of many companies that offer data […]

Deepak Rai Bio Deepak is a seasoned Data Scientist with experience with working in scientific, business and statistical analysis environments. He has worked across multiple industries, and world-class research and development organizations, in India, Japan, and the USA. His emphasis has been on Predictive Modeling to provide analytical solutions for complex business and scientific data […]

Readers: For this Tableau Secrets blog post, someone else has already done the heavy lifting, so I am going to refer you to his web site, Data + Science. Back in July 2014, Jeffrey Shaffer wrote a blog post Tooltip Canvas in Tableau – A Mockup for Chart Functionality within Tooltips based on an idea he added to […]

Source: Taylor Meadows, Comparing Data Science and Analytics, Data Science Central, October 22, 2015, http://www.datasciencecentral.com/m/blogpost?id=6448529%3ABlogPost%3A341055 One may think that all big data experts are created equal, but nothing could be further from the truth. However, the terms “data scientist” and “business analyst” are often used interchangeably. It’s a common and confusing use of terminology, which […]