Excel Time Series Models for business Forecasting Master Class
Welcome to Excel Time Series Models for Business Forecasting in which you will learn Training goals, weekly learning objectives and Important information about versions and regions.
The current state of the world makes business forecasting even more fundamental to the operation of institutions. In this Specialization we focus on Excel Skills for Business Forecasting in: Time Series Models
About this training:
Business Forecasting is part of any and every organisation. Organisations need to forecast so that they can plan for the organisation’s needs. Business forecasts are the inputs to every organisation’s planning – without business forecasts we cannot plan for our resources, our production, our supply chains – and ultimately our costs, revenues and profits. The current state of the world makes business forecasting even more fundamental to the operation of institutions. In this training we focus on Excel Skills for Business Forecasting using Time Series Models. We will look at a range of business forecasting methods: Naïve Forecasting, Moving Averages, Trend-fitting, Simple Exponential Smoothing, Holt’s Exponential Smoothing, Winters Exponential Smoothing, and Decomposition.
- How your business can utilise time series data sets to understand the different components underlying this data
- Apply the relevant model depending on these components to forecast for your business’ needs.
What will you learn:
Time Series Models: In this module, we explore the context and purpose of business forecasting and the three types of business forecasting — time series, regression, and judgmental. We will learn about time series models, as well as the component of time series data. We will then look at a preliminary forecasting method — Average Forecasts. Once we have a forecast, we need a tool to judge the accuracy of the forecasts — which are the forecasts and the error criterion calculated from these.
Level Time Series: In this module, we explore different time series forecasting methods available for data that is level.
Trending Time Series: In this module, we explore different time series forecasting methods available for data that is trending.
Seasonal Time Series: In this module, we explore a time series forecasting method (Winters Exponential Smoothing) available for data that is seasonal.
Decomposition: In this module, we explore a time series forecasting method (Decomposition) available for data that is seasonal.
Eligibility: For Students and Experts
Training Level: Advanced
- Financial aid available
- This Training Plus the Full Specialization
- Shareable Certificates
- Self-Paced Learning Option
- Training Videos & Readings
- Practice Quizzes
- Graded Assignments with Peer Feedback
- Graded Quizzes with Feedback
- Graded Programming Assignments
- Shareable on LinkedIn: You can share your Training Certificates in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.