Advanced Time Series Forecasting with SQL Server
Unlock the future of time series analytics with SQL Server. This course will teach you advanced time series forecasting techniques.
What you'll learn
Accurately predicting market trends and product demand is crucial for maintaining a competitive advantage. However, many companies struggle to leverage their historical data effectively for future planning, leading to mismanagement and missed opportunities. In this course, Advanced Time Series Forecasting with SQL Server, you’ll gain the ability to utilize SQL Server for sophisticated forecasting and data analysis. First, you’ll explore time series data fundamentals, as well as the importance of time series data in forecasting. Next, you’ll discover how to implement ARIMA and SARIMA models in SQL Server for accurate trend and seasonal pattern analysis. Finally, you’ll learn how to evaluate the accuracy of your forecasting models and apply these insights to real-world business scenarios. When you’re finished with this course, you’ll have the skills and knowledge of advanced time series forecasting needed to make data-driven decisions that enhance inventory management, marketing strategies, and overall business performance.
Table of contents
- Introduction to ARIMA and SARIMA Models 3m
- Demo: Implementing Advanced Models in SQL Server 5m
- Demo: Build and Tune an ARIMA Model 5m
- Demo: Techniques for Constructing Accurate Forecasting Models 4m
- Demo: Metrics and Methods for Model Performance Evaluation 4m
- Demo: Construct a Forecasting Model and Evaluate Its Performance 3m
- Strategies for Deploying Forecasting Models 1m
- Demo: Integrate Statistical Methods for Improved Model Performance 2m
- Demo: Deploying and Evaluating an Advanced Model 2m
- Business Applications of Forecasting Methods 1m
- Customizing Models for Specific Business Requirements 1m
- Demo: Analyzing and Forecasting-industry Specific Data 3m
- Summary 0m
