Adding Program Evaluation to the Data Science Curriculum
We tried to do XYZ. Did it make a difference?” Whether you are in the for-profit world or the not-for profit world, this is a very basic question that many people try t...
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Data Science Simplified Part 11: Logistic Regression
In the last blog post of this series, we discussed classifiers. The categories of classifiers and how they are evaluated were discussed. We have also discussed regressi...
Your Journey to Data Science Maturity (by Kirk Borne)
Great, short visual summary produced by Kirk Borne. Highlights: Computational Ask the right questions Design thinker Willingness to fail Participate in competitions Team ...
Steps to Learn Python for Data Science
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 or uns...
Updated: Difference Between Business Intelligence and Data Science
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 bl...
If data science is in demand, why is it so hard to get a job?
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 data science candi...
Data Science Graphs (without the code!)
If you read my blog then you’ll probably realize there are a few data related topics that I could talk about for days. This blog dives into a tool called RAW Gra...
Python Data Science Handbook- An essential handbook for Python enthusiasts
This article was written by Prakarsh Saxena. In a world where each of us is surrounded by data and its insights, Data Science does seem a promising field of work and r...
Supervised Learning Use Cases: Low-Hanging Fruit in Data Science for Businesses
In the past few years, machine learning (ML) has revolutionized the way we do business. A disruptive breakthrough that differentiates machine learning from other approach...
Data Science is Changing and Data Scientists will Need to Change Too – Here’s Why and How
Summary: Deep changes are underway in how data science is practiced and successfully deployed to solve business problems and create strategic advantage. These same ch...