Are you looking to sharpen your data science skills? Whether a beginner or an experienced practitioner, using hashtags can help you expand your knowledge and strengthen your skills. In this post, we’ll introduce three popular hashtags that are relevant to data science. We’ll also provide tips on how to use these hashtags effectively. So, if you’re ready to become a data science rockstar, keep reading! What are Hashtags? A hashtag is a keyword or phrase prefixed with the symbol “#.” Hashtags are …
Category: Machine Learning
Data analytics is the process of examining large data sets to uncover patterns and trends. By doing so, businesses can make better decisions about how to run their operations. Data analytics is a powerful tool that can be used to make informed decisions about everything from product development to marketing strategy. Three primary tools are used in data analytics: data mining, data visualisation, and predictive modelling. Each of these tools serves an essential purpose in the data analysis process. 1. …
The term “Fourth Industrial Revolution” was first coined by Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, in 2016. It describes the transformation our societies and economies undergo due to the rapid development and adoption of new technologies such as smart devices, artificial intelligence (AI), robotics, and algorithms. This fourth industrial revolution is different from previous ones in that it is further propelled by the increasing connectivity of people and devices and the exponential growth of data. …
Our best shot at decentralizing business analytics At this point, every business recognizes the critical nature of data analysis for business growth and data-driven decision-making. By 2023, companies worldwide will have generated 163 zettabytes of data. So why, then, are so few businesses leveraging data to inform business decisions? Data analytics is not for the faint of heart. Data on its own means very little; it only becomes information when combined with context. And can we then glean insights from …
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