DAT 202 - Data Analytics 2

 
Description
Building upon the principles set forth in prior coursework, students will engage in a comprehensive approach to the application of data analytics in the solving of business problems by employing the techniques frequently used in the discipline.  Emphasis will be placed on the different types of forecasting techniques such as sales, risk, retention and attrition as applied to a variety of industries.

1. Differentiate the data needs for the different forecasting techniques.
2. Use appropriate database for specific forecast.
3. Implement data analytics forecasting.
4. Collaborate on using data for forecasting.
5. Use data visualization to illustrate forecasts.

1. Forecasting techniques
2. Database forecasting
3. Forecasting with data
4. Collaboration in data analysis
5. Data visualization

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