01.01 | Course Outcomes
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Why does this course matter ?
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How many key lessons are covered ?
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Upon completion you should be able to..
Lesson【A】Summarising and Analysing Data
⭐ ..explain the difference between data and information;
⭐ ..describe the characteristics of good information;
⭐ ..identify relevant data from graphs, charts and diagrams;
⭐ ..interpret bar charts, scatter diagrams, histograms and ogives.
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Lesson【B】Inter-Relationships Between Data Variables
⭐ ..describe the principal business applications of big data and analytics;
⭐ ..demonstrate the relationship between data variables: correlation coefficient and the coefficient of determination;
⭐ ..prepare a trend equation using either graphical means or regression analysis.
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Lesson【C】Basic Forecasting Models
⭐ ..demonstrate trends and patterns in time series graphs, using appropriate techniques;
⭐ ..identify the components of a time series model;
⭐ ..prepare a trend equation using either graphical means or regression analysis;
⭐ ..understand seasonal variations using both additive and multiplicative models, and explain when each is appropriate;
⭐ ..calculate predicted values, given a time series model;
⭐ ..identify the limitations of forecasting models.
