Course curriculum

    1. Welcome!

    2. Course Introduction

    3. Course Overview

    4. Time Series Foundations Pre-Survey

    5. Time Series Introduction

    6. What is Time Series?

    7. Quiz 1: What is Time Series?

    8. Register for the Ikigai Platform

    9. Instructions: Download Template App

    10. Time Series Use Cases

    11. Quiz 2: Time Series Use Cases

    12. What is Time Series Forecasting?

    13. Quiz 3: Time Series Forecasting

    14. Capstone Project: Introduction & Assignment #1

    15. Next: Time Series Data

    1. Time Series Data

    2. Types of Time Series Data

    3. Quiz 1: Types of Time Series Data

    4. Auxiliary Features

    5. Quiz 2: Auxiliary Features

    6. Introduction to aiCast

    7. aiCast: Connecting & Transforming Data

    8. Capstone Project Assignment #2

    9. Next: Understanding Time Series Data

    1. Understanding Time Series Data

    2. Estimating Missing Data

    3. Quiz 1: Estimating Missing Data

    4. Decomposition

    5. Quiz 2: Decomposition

    6. Changepoints

    7. Quiz 3: Change Points

    8. Anomalies

    9. Quiz 4: Anomalies

    10. Spatial Structures (Embeddings, Clustering, Cohort Analysis)

    11. Quiz 5: Spatial Structures

    12. Capstone Project Assignment #3

    13. Next: Predicting Times Series

    1. Predicting Time Series

    2. Forecasting Models and Algorithms

    3. Quiz 1: Forecasting Models and Algorithms

    4. Uncertainty

    5. Quiz 2: Uncertainty

    6. Evaluating Forecasts

    7. Quiz 3: Evaluating Forecasts

    8. Model Selection, Cross-Validation

    9. Quiz 4: Model Selection, Cross Validation

    10. Baseline Forecasting

    11. Quiz 5: Basic Forecasting

    12. aiCast Facet Overview

    13. Improvements to Forecasts

    14. Quiz 6: Iterative Improvements to Forecasts

    15. Utilizing Anomalies and Changepoints

    16. Hierarchical Reconciliation

    17. Capstone Project Assignment #4

    18. Next: Explainability & Course Conclusion

    1. Explainability & Course Conclusion

    2. Explainability

    3. Quiz 1: Explainability

    4. Capstone Project Assignment #5

    5. Summary & Course Completion

    6. Capstone Project & Course Survey

    7. Congratulations & Thank You!

    8. Credly Badge

About this course

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  • 63 lessons
  • 3.5 hours of video content

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