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

Located in DFW? Or, love to visit here. Learn at Divergence Academy, hands-on with instructor, certificate granting career college approved by the Texas Workforce Commission.

 

A Career Strategy for Data Science

Candid Advice from Paco Nathan, Data Scientist and O’Reilly Author

How to become a data scientist, by Vish Puttagunta, Sr. Data Scientist at AT&T

 

Biography

Paco Nathan is Director, O’Reilly Learning. Known as a “player/coach” data scientist, he has led innovative Data teams building large-scale apps for several years. As a recognized expert in distributed systems, machine learning, and Enterprise data workflows, Paco is an advisor for Amplify Partners and Galvanize. He has 30+ years technology industry experience ranging from Bell Labs to early-stage start-ups. Newsletter and “official” web site: http://liber118.com/pxn/

Data Science Salaries

Excerpt from “O’Reilly Media has been conducting an annual survey for data professionals, asking questions primarily about tools, tasks, and salary — and we are now releasing the third installment of the associated report, the 2015 Data Science Salary Survey. The 2015 edition features a completely new graphic design of the report and our findings. In addition to estimating salary differences based on demographics and tool usage, we have given a more detailed look at tasks — how data professionals spend their workdays — and titles.”

And, here’s the 2016 Data Science Salary Survey.

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