Time Series Course Index – Dataplexa

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Time Series Course Index

Complete Time Series roadmap — decomposition, ARIMA, SARIMAX, ML forecasting, deep learning forecasting (LSTM, GRU, Transformers), and real-world projects.

Open Time Series Course Back to Learning Hub

I. Time Series Foundations (12 Lessons)

1. Introduction 2. Types of TS 3. TS Components 4. Stationarity 5. Noise & RW 6. Decomposition 7. Resampling 8. Rolling Stats 9. ACF 10. PACF 11. Moving Avg 12. Smoothing

II. Classical Forecasting (12 Lessons)

13. AR Models 14. MA Models 15. ARMA 16. ARIMA 17. SARIMA 18. SARIMAX 19. Diagnostics 20. Holt Trend 21. Holt-Winters 22. Exp Smoothing 23. Evaluation 24. Forecasting Pipeline

III. Machine Learning Forecasting (12 Lessons)

25. Feature Eng 26. Lag Features 27. Window Features 28. TS Split 29. Linear Regression 30. Random Forest 31. Boosting 32. XGBoost 33. LightGBM 34. TS CV 35. Multistep 36. Probabilistic

IV. Deep Learning for Time Series (14 Lessons)

37. RNNs 38. LSTMs 39. GRUs 40. Bidirectional 41. Seq2Seq 42. Encoder-Decoder 43. 1D CNNs 44. CNN-LSTM 45. Attention Models 46. Transformers 47. N-BEATS 48. DeepAR 49. TFT 50. Projects