Business Analytics (4014SSL) Coursework 2
Student ID:
Word count:
- Introduction
- Forecasting
2.1 Data description
2.2 The trends
- Additive OR multiplicative forecasting
- Clustering
- Conclusion
| INTRODUCTION | Give general statement about time series data, then discuss what do you plan to do next. |
| Task one | |
| Data description | Describe excel data, calculate the average number for each year then tell the heist average and lowest average, try to visualise your data using graphs. |
| Trend analysis | Give brief description about trend, what does trend analysis serve for? Visualise your trend analysis by creating graphs such as: BAR CHART. CLUTTERED COLUMN CHART. THE LINE CHART, THE LINE CHART TREND, THE LINE CHART - QUARTERS |
| Time series forecasting | *Identify Time series forecasting. *Explain forecasting processes: In order to be able to forecast we need to be able to model what is happening. 1. Identifying the Trend 2. Time series Plot 3. Calculate the moving average. 4. plot the trend line on a graph. 5. What do you notice from the graph? Your answer will tell you the most appropriate model for this data. Either additive OR multiplicative model for forecasting. Note: justify you answer of using specific model |
| Task 2 | |
| Clustering | Critically debate the theoretical concepts regarding clustering using reliable academic references (Types of clustering, clustering steps…etc) |
| Conclusion | Sum up the key points of discussion. |
To revise your knowledge about forecasting and clustering Please do revision for week 7&8 lectures and seminars activities.