Forecasting key business metrics accurately is crucial for making smart decisions and planning for the future. In this course, TensorFlow Developer Certificate – Time Series, Sequences, and Predictions, you’ll gain the ability to build predictive models for time series data using deep learning. First, you’ll explore how to structure time series problems and preprocess data for modeling. Next, you’ll discover how to choose and configure deep learning models like RNNs and CNNs for sequence forecasting tasks. Finally, you’ll learn best practices for training, evaluating, and improving your forecasts over time. When you’re finished with this course, you’ll have the skills and knowledge of TensorFlow and deep learning for time series needed to accurately forecast metrics like future sales, demand, stock prices, and more.
Author Name: Pinal Dave
Author Description:
Pinal Dave is an SQL Server Performance Tuning Expert and independent consultant with over 22 years of hands-on experience. He holds a Master of Science degree and numerous database certifications. Pinal has authored 14 SQL Server database books and 81 Pluralsight courses. To freely share his knowledge and help others build their expertise, Pinal has also written more than 5,800 database tech articles on his blog at https://blog.sqlauthority.com.

Table of Contents

• Course Overview
  1min
• Understanding and Preparing Time Series Data
  29mins
• Training and Evaluating Time Series Models
  21mins
• Implementing Advanced Techniques for Time Series Analysis
  13mins