Data science is an interdisciplinary field of scientific processes, methods, and systems. It is used to extract insights from data in many forms, either structured… Read More »Steps to Learn Python for Data Science
Do the usual (attending data camps if you don’t have any experience), and you will go nowhere due to competition doing the exact same thing… Read More »Becoming a Billionaire Data Scientist vs Struggling to Get a $100k Job – What is the difference?
I’m reposting this blog (with updated graphics) because I still get many questions about the difference between Business Intelligence and Data Science. Hope this blog… Read More »Updated: Difference Between Business Intelligence and Data Science
Another question recently posted on social networks. Below is my answer, with link to the original post. The main reason is the exponential growth of… Read More »If data science is in demand, why is it so hard to get a job?
Organizations looking for justification to move beyond legacy reporting, should review this little ditty from the healthcare industry: The Institute of Medicine (IOM) estimates that… Read More »Predict ►Prescribe ►Prevent Analytics Value Cycle
Data Science is a broad discipline, even though the concept is recent, every day is evolving. According to Berkeley School of Information, the Data Science… Read More »Getting real insights from human resources management.
Summary: There are several approaches to reducing the cost of training data for AI, one of which is to get it for free. Here are… Read More »Lots of Free Open Source Datasets to Make Your AI Better
Python and R are the two most commonly used languages for data science today. They are both fully open source products and completely free to use… Read More »Python Vs R : The Eternal Question for Data Scientists
One interesting metric to check the usefulness of Everipedia as a desk reference for data mining is to compare the number of relevant articles. Go… Read More »Everipedia as a desk reference for data mining topics
In the twentieth century, oil was the most valuable resource – but not anymore. In today’s digital age data is the new oil. It will… Read More »Harnessing the power of data to transform asset-intensive value chains
