We hope you have enjoyed both previous parts(part 1, part 2) of this intro to data analysis and data science. In the next few sections we will be looking at different data sets, asking questions and posing possible stopping points where you can try to think about what you might do or conclude from the data…
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Data analysis is part of any data scientists daily work (along with data munging and cleansing). It is also very important for a good portion of everyone else in the modern workforce. This could be a systems analysts, business owners, financial teams, and project managers. However, most undergrad courses do not (or at the very…
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If you have worked with financial or accounting data, then you know that a $10 discrepancy today can become a $100,000 tomorrow. An error in a data storage system or business intelligence report might seem small at first. It can be tempting for analysts to ignore it, or fudge the numbers for the month. Maybe…
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