What is the Hawthorne Effect?

Hawthorne effect The Hawthorne effect is a psychological phenomenon that produces an improvement in human behavior or performance as a result of increased attention from superiors, clients or colleagues. In a collaborative effort, the effect can enhance results by creating a sense of teamwork and common purpose. In social networking, the effect may operate like … Continue reading What is the Hawthorne Effect?

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What is the difference between a Data Scientist and a Decision Scientist?

The differences between the job roles of a data scientist and a decision scientist is subtle. While a data scientist is only involved with finding meaning in the chaos of big data, a decision scientist looks at big data with a view to solve a business problem. Decision scientists are nurtured and valued in the … Continue reading What is the difference between a Data Scientist and a Decision Scientist?

How can I become a data scientist?

This needs a considerable amount of thought. Presently almost all programs being offered by universities are post graduate (Master’s) level or certificate courses which presume prerequisites such as fundamentals of computer science, network engineering, programming, and mathematics. ‘Data Science’ is generally considered to be a combination of the following disciplines: 1. Computer Science 2. Statistics … Continue reading How can I become a data scientist?

4 Problems – Cognitive Biases

This is a gist of an interesting article on some of the problems which are an outcome of a certain cognitive bias [Source: https://betterhumans.coach.me/cognitive-bias-cheat-sheet-55a472476b18#.nk7k8geaa] Four problems that biases help us address: Information overload, lack of meaning, the need to act fast, and how to know what needs to be remembered for later. Problem 1: Too much information. … Continue reading 4 Problems – Cognitive Biases

Great Advice for Data Scientists by Director of Data Science at LinkedIn

Yael Garten, Director of Data Science at LinkedIn, shared the following list of behaviors and qualities that distinguishes exceptional data scientists from the average performers. 1. Request context and envision the answer before you start the work. Average data scientists do what they’re asked and begin building prematurely when often the real question to answer or data product to build is still not understood. … Continue reading Great Advice for Data Scientists by Director of Data Science at LinkedIn