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Synergy Between Artificial Intelligence and Data Science AI and Data Science complement each other through their unique but interconnected roles in data processing and analysis. Deep Learning: Advanced neural networks drive Deep Learning , allowing AI to process vast amounts of data and recognise complex patterns.
Thus, it focuses on providing all the fundamental concepts of Data Science and light concepts of Machine Learning, Artificial Intelligence, programming languages and others. Usually, a Data Science course comprises topics on statistical analysis, data visualization, datamining and data preprocessing.
Key subjects often encompass: Statistics and Probability: Students learn statistical techniques for Data Analysis, including hypothesis testing and regression analysis, which are crucial for making data-driven decisions. They use databases and Data Visualisation tools to present data clearly and concisely.
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