Sorting through the latest buzzwords and finding useful resources to drive your data science agenda requires some filters. Check these links to get started!
:memo: An awesome Data Science repository to learn and apply for real world problems. - academic/awesome-datascience
By: Laetitia Van Cauwenberghe. Since data scientist is a senior job title that comes with significant experience, even expertise, how can you become a data scientist fresh out of college, or from Coursera classes, or from some data science boot camp? I believe you indeed learn data science on the job.
7 steps to a successful data science strategy.
Wondering what a date scientist really does and what he or she really is so this detailed anatomy of a Data Scientist Infographic can help you really big time. This Data Scientist Infographic is here to help you all distinguish between distinctive IT careers and professional fields you may now be aware of.
Data Science Council of America’s latest infographic titled “Data Science- Myths and Realities” explores the various relationships between machines and humans in both the present and in the near future. What does it take to build a career in data science and machine learning? What are the qualifications of the world’s leading data scientists and …
How do you become a data scientist? I think that really depends on where you are now and what you really want to do as a data scientist. Nevertheless, DataCamp posted an infographic recently that described 8 easy steps to becoming a data scientist. In this post I want to highlight and review DataCamp’s infographic. […]
A data scientist is a very special individual in the data model. You might think with all the data automation that users can practically manage their own
This is the second part of an article on Big Data and Data Science. (Here is the first ). I thought I would put down a list of skills, algorithms and the stuff of a Data Scientist. Clearly this is my opinion but I would welcome feedback.
We investigate what a typical data scientist looks like and see how this differs from this time last year, looking at skill set, programming languages, industry of employment, country of employment, and more.