You're looking for a complete course on Time Series Forecasting to drive business decisions involving production schedules, inventory management, manpower planning, and many other parts of the business., right?
You've found the right Time Series Analysis and Forecasting course. This course teaches you everything you need to know about different forecasting models and how to implement these models in Python.
After completing this course you will be able to:
Implement time series forecasting models such as AutoRegression, Moving Average, ARIMA, SARIMA etc.
Implement multivariate forecasting models based on Linear regression and Neural Networks.
Confidently practice, discuss and understand different Forecasting models used by organizations
A Verifiable Certificate of Completion is presented to all students who undertake this Marketing Analytics: Forecasting Models with Excel course.
If you are a business manager or an executive, or a student who wants to learn and apply forecasting models in real world problems of business, this course will give you a solid base by teaching you the most popular forecasting models and how to implement it.
We believe in teaching by example. This course is no exception. Every Section’s primary focus is to teach you the concepts through how-to examples. Each section has the following components:
Theoretical concepts and use cases of different forecasting models
Step-by-step instructions on implement forecasting models in Python
Downloadable Code files containing data and solutions used in each lecture
Class notes and assignments to revise and practice the concepts
The practical classes where we create the model for each of these strategies is something which differentiates this course from any other course available online.
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Feedbacks (1)
It is good to work with easy-to-understand step-by-step instructions. Also, good to have the data set to practice on my own time. There is limitation too. It is hard to get instant feedback from human interaction when I am stuck.