Data Analysis and Forecasting - Practical Application
About This Course
The objective of this course is to raise the baseline knowledge and comprehension of data analysis and forecasting techniques by understanding the general principles and using Microsoft Excel as the main analytic tool. Upon the completion of this short course, participants will have a good foundation of the:
• Various data analysis tools that will be use in one’s work in any industry.
• General principles of forecasting and how to best use different approach and techniques for different situations.
• General approach to managing the data flow in the organization.
• Basic skills set of a data analyst and its application into one’s daily work.
What You'll Learn
A major part of data analysis is forecasting. In virtually every decision made in the organization, executives will today consider some kind of forecast. Sound predictions of demands and trends are no longer luxury items, but a necessity. Executives at all levels have to deal with issues like coping with seasonality, sudden changes in demand levels, price-cutting maneuvers of the competition, strikes, and large swings of the economy, and many more.
Forecasting can help deal with these issues and challenges; however, it is important to understand the general principles of forecasting, what it can and cannot do, and which techniques are suited to the various needs of the moment.
Entry Requirements
Diploma holder and
• Anyone dealing with data and data analysis, and using forecasting as part of their work.
• Anyone with an interest to raise their baseline understanding of how to use MS Excel for data analysis
• Anyone who wants to build up and incorporate data analyst skills