The Ultimate Guide on Cybersecurity + Data Science: two books in one cover art

The Ultimate Guide on Cybersecurity + Data Science: two books in one

From Big Data to Knowledge Management + Data Analytics with R and the Blockchain for your Business Success

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The Ultimate Guide on Cybersecurity + Data Science: two books in one

By: International Management School
Narrated by: Adam Walker, Keith Hughes
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About this listen

Innovation influences the market and its operators, especially about competition conditions. One of the most significant technological advances relates to the possibility of capturing a huge amount of information and processing them rapidly: two of the main features that make up the phenomenon known as big data.

This not only entails the emergence of specialized operators in these activities, but also makes a "data economy" possible. These large data sets are becoming a core asset in the economy, fostering new industries, processes and products and creating significant competitive advantages.

A new ecosystem is being built around the data economy: data analyst and data scientist are the most rewarding careers in 2020. With data science and predictive analytics, in particular, you can predict useful metrics and trends for your business. Such an approach can help you improve your ability to serve your customers or otherwise compete in the market.

The importance of data science and predictive analytics, for example in the finance industry, is in the fact that organizations can leverage the power of technology to detect what can negatively impact businesses before these issues happen or spread.

Software such as R, the blockchain, cryptography, human computation, cybersecurity and machine learning are the hottest topics and the new source of success! Get to know more about new technologies and learn how to exploit the value of data.

©2020 Lorenzo Piana (P)2020 Lorenzo Piana
Engineering Business Computer Science Technology Management Computer Security Machine Learning Data Science Inspiring Innovation
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