Business Problems and Data Science Solutions Part 1
An important principle of data science is that data mining is a process. It includes the application of information technology, such as the automated discovery and evalua...
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Data Science “Paint by the Numbers” with the Hypothesis Development Canvas
When I was a kid, I use to love “Paint by the Numbers” sets. Makes anyone who can paint or color between the lines a Rembrandt or Leonardo da Vinci (we can talk l...
Creating a Culture that Works for Data Science and Engineering
Written by Allison Sullivan, PHD – Civis Analytics Product management resources often focus on collaborating with engineering and design. However, products are incr...
Critical Thinking and Becoming “Students of Data Science”
Social media and internet search scare me because it is so easy to acquire information without also acquiring the associated knowledge. You can order essay writing help f...
Why Is Data Science Different than Software Development? It Starts with Data…Lots o’ DATA!!
Data science development is very different from software development, and getting the two to mesh is sometimes like trying to cobble together Tinker Toys with Lincoln Log...
Mixing & Matching in R for Data Science
I’ve spent time over the last few months attempting to enhance my skills in the statistical sub-field of causal inference. Overly simplified, causal inference compr...
Is Your Organization Ready for Data Science?
Summary: To take advantage of data science, an organization needs to consider their data quality and accessibility, and the willingness of their staff to use the resu...
MBA vs. Data Science qualifications: Does #AI and #DataScience explain the fall in MBA applications?
Last week, the financial times wrote that there was a sharp fall in MBA applications in the USA. The Elite MBA programs were not affected by this trend, but most others w...
DSC Webinar Series: Embedded Analytics & Data Science: Shell Oil Case Study
Shell has become a world leader in analytics, driving huge gains in safety and maintenance that save lives and resources. With a limited number of data scientists in the ...
Practicing ‘No Code’ Data Science
Summary: We are entering a new phase in the practice of data science, the ‘Code-Free’ era. Like all major changes this one has not sprung fully grown but the move...