Data Scientists are some of the most in-demand professionals in the world. They work across all sectors and industries, using various tools, AI and analytical approaches to uncover patterns in data and elicit strategic business insights and predictions.
Data science is dominated by mathematics, statistics and programming, but requires a level of business acumen and analytics. The role may require defining and designing data collection systems, machine learning/AI, communication of insights and visualisation of results.
The requirements of a data scientist are diverse and vary with each role but generally will require a statistical programming language (e.g Python), SQL, libraries and frameworks for machine learning (e.g TensorFlow) and tools such as RapidMiner
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