RSS Featured Blog Posts
  • An overview of feature selection strategies
    Introduction Feature selection and engineering are the most important factors which affect the success of predictive modeling. This remains true even today despite the success of deep learning, which comes with automatic feature engineering. Parsimonious and interpretable models provide simple insights into business problems and therefore they are deemed very valuable. Furthermore, in many occasions […]
    Burak Himmetoglu
  • Helping Non-Profit Organizations as a Data Scientist
    Data Scientists are considered to be highly technical professionals and are typically seen exercising their talent in conventional business industries. However, Data Science is a problem-solving field. Therefore, it can be applied in any field that uses set of data and determines patterns to make decisions. For this reason, Data Scientists have the ability to […]
    VAMSI NELLUTLA
  • Free Book: Introduction to Statistics
    Online Statistics Education: A Multimedia Course of Study.  Project Leader: David M. Lane, Rice University. Content: Introduction Graphing Distributions Summarizing Distributions Describing Bivariate Data Probability Research Design Normal Distributions Advanced Graphs Sampling…
    Capri Granville
  • Introduction to Deep Learning
    Guest blog post by Zied HY. Zied is Senior Data Scientist at Capgemini Consulting. He is specialized in building predictive models utilizing both traditional statistical methods (Generalized Linear Models, Mixed Effects Models, Ridge, Lasso, etc.) and modern machine learning techniques (XGBoost, Random Forests, Kernel Methods, neural networks, etc.).…
    Vincent Granville
  • The Fourth Way to Practice Data Science – Purpose Built Analytic Modules
    Summary:  Purpose Built Analytic Modules (PBAMs) such as those for Fraud Detection represent a fourth way to practice data science, a new model for the good use of Citizen Data Scientists, and a new market for AI-first companies.   It appears that data science has…
    William Vorhies

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.

Leave a Reply

Your email address will not be published. Required fields are marked *