Bloopers to overcome when you start cooking with data

When starting to work with data, most people start with explainatory analysis instead of going through exploratory analysis. Psychology says that most people are focused on outcome rather than process, but in Data analytics its the process which is of utmost importance. Following are top three common bloopers: Lack of Curiosity : If you aren’t curious…
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Leaving Data on the Battlefield

Every data point is sacred. Every data point is great. If a data point gets wasted, decisions deteriorate! My team works to evaluate whether mental health programs make an impact on people’s lives. I lead a team of data sheros, and one thing I drill into my gals is that no soldier should ever be…
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What are some common mistakes people make when working with data?

We don’t just work with data. We socialise with data, we go to the cinema with data, and we have dinner with data on date night. We are surrounded and influenced by data 24/7, not just 9-5.  The mistake we make at all hours is blindly accepting numbers. When we see an interesting statistic, we…
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Common mistakes while working with data

Common mistakes while working with data: Cherry-picking: Selecting the results that fit your hypothesis and rejecting others Survivorship bias: Concluding an incomplete set of data, because that data has ‘survived’ some selection criteria Sampling bias: Trying to conclude the set of data that is not a part of the population under observation Ignoring Simpson paradox:…
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Customer Behavior and Persona Design

Imagine… All that we need is just to imagine and think. Once we become able to think, we can search for a solution. Usually Data Scientists are the ones which can create the best formulas and graphs using different tools… from Python, R to Tableau or even SAS. But should we keep doing this? Is…
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The Good, the Bad and the Ugly of the 4IR

The World Economic Forum has predicted that the 4IR might start in 2025. Today we are preparing the path for that to occur, and it seems that we are going at a really good pace, which is good, and bad! The good: We will have everything that we have been dreaming about, autonomous cars, hyper-connectivity,…
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Advantages and Disadvantages of the 4th Industrial Revolution

The 4th revolution brings with it a multitude of advantages and disadvantages for the world. Privacy for citizens is being invaded and spam, phishing, and identify theft scams of all types continue to evolve and transform. Politics, security, peacekeeping, and surveillance occur on a whole different and more perverse level. These activities will likely to…
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Pros and cons of the 4IR

By: George Firican

Revolution 4.0

The fourth revolution has by itself proved that it is happening far before someone would have expected, indicating we need to move (adopt, adjust, accommodate) faster than our ancestors. The advantages are — well, may be we have all our work done faster, precision, improved health care, faster communication and greater attention to detail. What…
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Fourth Industrial Revolution Implications

The Fourth Industrial Revolution is defined by the emergence of new technologies such as robotics, artificial intelligence (AI), machine learning (ML) and more. And while this is by no means the first time society has undergone an industrial revolution, these new technologies are set to have the most significant and deeply-felt impact on humanity in…
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