Complete Time Series Analysis Course for Data Analysts and Data Scientist | Time Series Forecasting
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23 learners
What you'll learn
This course includes
- 6.3 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 14 lessons • 6.3 hours of video
Complete Time Series Analysis Course for Data Analysts and Data Scientist | Time Series Forecasting
14 lessons
• 6.3 hours
Complete Time Series Analysis Course for Data Analysts and Data Scientist | Time Series Forecasting
14 lessons
• 6.3 hours
- Time Series Analysis for Data Analysts | Data Scientists | Complete Syllabus | Part 1 11:28
- Time Series Data | Time Series Analysis | Data Analysts | Data Scientists | Part 2 10:55
- Classical Time Series Decomposition | Additive | Multiplicative | Trend | Seasonality | Residual 15:09
- STL Decomposition using LOESS | Time Series Decomposition | Time Series Analysis | Part 4 06:23
- Stationarity in Time Series Analysis | Weak and Strict Stationarity | Part 5 14:01
- ADF | KPSS | KS Tests | Stationarity Tests in Time Series Analysis | Part 6 | Python 14:24
- Making Time Series Data, Stationary | Differencing | Transformation | Detrending | Part 7 | Python 17:43
- White Noise | Random Walk | Ljung Box Test | Time Series Analysis | Part 8 07:46
- All Forecasting Models in ONE Video | AR | MA | ARMA | ARIMA | SARIMA | VAR | VMA | VARIMA | Part 9 32:48
- Moving Average | Exponential Smoothing | Weighted Moving Average | Time Series Analysis | Part 10 13:30
- Autocorrelation (ACF) | Partial Autocorrelation (PACF) | With Examples and Python Implementation 14:33
- Model Evaluation Metrics | MAE | MAPE | MSE | RMSE | AIC | BIC | Part 12 09:00
- Complete Time Series Analysis for Data Science | Data Analysis | Full Crash Course | Statistics 02:54:34
- Data Analyst Portfolio Project | Stock Analysis Forecasting | Time Series Analysis | End-to-End 37:59
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