Enroll Course: https://www.udemy.com/course/ittensive-python-time-series/
If you’re looking to deepen your understanding of time series analysis, the Udemy course “Анализ временных рядов на Python” by ITtensive is a fantastic resource. This course is part of their Machine Learning program and focuses on practical applications of time series analysis using Python.
### Course Overview
The course covers three primary practical projects:
1. **Futures Prices for Grain**: You will work with monthly data from the London exchange to forecast grain prices during uncertain times using a combination of classical methods like moving averages and polynomial regression. The project culminates in forecasting futures for June 2022.
2. **Currency Exchange Rates**: This section dives into the frequency and econometric approaches for predicting the exchange rate of the dollar against the ruble. You will learn how to decompose a time series into trend, seasonality, and variation, utilizing models such as ARMA, ARIMA, SARIMA, and even vector autoregression. Additionally, you’ll explore libraries like Prophet and Auto-TS for automated machine learning. The project here aims to forecast export volumes for December 2022.
3. **Consumer Electricity Usage**: This part introduces neural networks, where you will forecast consumer electricity demand using recurrent neural networks (RNNs) on a sufficiently stationary series. The final project involves predicting stock prices based on these RNNs.
### Course Content
The theoretical component of the course is robust, covering essential concepts such as:
– The purpose and goals of time series analysis
– Basic techniques including polynomial trends and moving averages
– Holt-Winters model and noise colors
– Autoregression and stationarity
– AR/MA, ARIMA, SARIMA(X)
– ADL and VAR methodologies
– Data drift and time series analysis methodologies
– Recurrent neural networks like LSTM, GRU, ConvLSTM, and BiLSTM
– Advanced models like WaveNet and transformers (attention mechanisms)
### Why You Should Take This Course
This course is ideal for anyone looking to apply machine learning techniques to real-world data. The hands-on projects are particularly beneficial for those who learn best by doing. Additionally, the course emphasizes practical applications, ensuring you can directly apply the skills you gain to your own projects.
As a bonus, the course is accessible by contacting ITtensive support, which adds a layer of personalized service that many online courses lack.
### Conclusion
Overall, “Анализ временных рядов на Python” is a comprehensive and practical course that equips you with the necessary skills to tackle time series analysis effectively. Whether you’re a beginner in data science or looking to enhance your existing skills, this course is highly recommended.
Don’t miss out on this opportunity to elevate your data analysis capabilities. Happy learning!
Enroll Course: https://www.udemy.com/course/ittensive-python-time-series/