The Data Analytics Blog

Our news and views relating to Data Analytics, Big Data, Machine Learning, and the world of Credit.

Our Top Artificial Intelligence, Machine Learning And Data Science Podcasts

Our data scientists are keen readers and avid podcast listeners. In this blog, we list a few of the podcasts that cover topics such as data science, machine learning and artificial intelligence, and that we’d recommend if you’re looking to start exploring the world of podcasts.

Where To Learn Data Science Skills In South Africa

In this blog, we’ve created a (non-exhaustive) list of courses you should consider if you want to learn essential data science skills in South Africa. These courses are mostly classroom training from South African institutions, but if you’re more interested in online learning, check out our blog Where To Learn Essential Data Science Skills Online.

Where To Learn Essential Data Science Skills Online

The value and benefits of becoming a data scientist or picking up basic data science skills, cannot be overstated in today’s world. Businesses across all industries are starting to embrace data analytics and those who aren’t will soon feel the advantage gained by their competitors who are.

The Transformation Of Training Methodology With Data Science

Learning rarely stops after your formal education ends, whether you’re pursuing further learning out of personal interest, career-aspiration or it’s mandated by your company. Most companies offer funding and support for their employees to go on courses to keep their skills up to date or learn new skills. Companies spend millions every year on enabling employees to participate in physical, often off-site training, and the costs can cover training fees, training material, travel and accommodation.

How To Dodge The Simpson's Paradox In Descriptive Analytics

The Simpson's Paradox is a phenomenon in statistics illustrating how easy it is to misinterpret data. (Click to Tweet!) It occurs mainly in descriptive and diagnostic analytics (see our blog on the different types of analytics) where an analyst may jump to a conclusion driven by motivated reasoning and not by objectively assessing the evidence.

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