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Women in tech statistics: The hard truths of an uphill battle

CIO Business Intelligence

Statistics from the following 11 facets of IT careers, from pursuing a degree to navigating the workplace environment, paint a clear picture of the challenges women face in finding equal footing in a career in IT. Compensation is certainly a paramount concern for women in tech, who are often making less than their male colleagues.

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The DataHour: Causal Inference in Practice

Analytics Vidhya

He has been working with Mu Sigma, a prestigious company as a Data and Decision Scientist that specializes in problem-solving, since 2019. He is skilled in SQL, Python, R, Advanced Analytics, and Statistics. Dear Readers, We’re getting Prabakaran Chandran on board to lead an interactive DataHour session with us.

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Cyber Fraud Statistics & Preventions to Prevent Data Breaches in 2021

Smart Data Collective

In this blog post, we discuss the key statistics and prevention measures that can help you better protect your business in 2021. Cyber fraud statistics and preventions that every internet business needs to know to prevent data breaches in 2021. In 2019, the number of people affected by cyber fraud in the U.S.

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Statistical Modelling vs Machine Learning

KDnuggets

At times it may seem Machine Learning can be done these days without a sound statistical background but those people are not really understanding the different nuances. Code written to make it easier does not negate the need for an in-depth understanding of the problem.

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Top 10 Charts in 2019

The Data Visualisation Catalogue

2019 has been a busy year for me, hence the lack of posts on this blog. But now that 2019 is over, I had to take the time to cover the most popular chart reference pages on this website for the year. So here are the top ten chart reference pages for 2019: However, how do these results compare to the previous year?

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5 Statistical Traps Data Scientists Should Avoid

KDnuggets

Here are five statistical fallacies — data traps — which data scientists should be aware of and definitely avoid.

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Top 6 Data Analytics Tools in 2019

FineReport

1) Professional statistical analysis. In terms of R language, it is best at statistical analysis, such as normal distribution, using an algorithm to classify clusters and regression analysis. Is it within the statistical controllable range we want to achieve? Top 6 Data Analytics Tools in 2019 shows at FineReport first.