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Data analytics is the science of extracting insight from large amounts of raw data to understand better the processes that created it and help in analysis, theory exploration, and decision-making. Data Analytics is becoming a critical skill, and organisations seek candidates who are knowledgeable in this area. Skilled data analysts are some of the most sought-after professionals in the world. 

This course will teach students the foundational skills in data analytics, including preparing and working with data, abstracting and modelling an analytic question, and using tools from statistics, learning and mining to address these questions. Students will study techniques for how to go from raw data to a deeper understanding of the patterns and structures within the data to support making predictions and decision making and thereby improving business performance. 

In-depth focus on Excel for data cleansing and sorting, Tableau and Excel for data visualisation Advanced programming tools i.e. Python for powerful data manipulation & predictive analysis. Students who benefit most from this course have intermediate Excel skills and are comfortable with basic maths skills as there is a programming element involved. Analytical skills and attention to detail are very important for data analysis

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