Time Series Analysis, Forecasting, and Machine Learning

Deep learning, time series classification (which may drive user insights from smartphone data or read your thoughts from electrical activity in the brain), and other recent technologies are covered in this course. This course will cover applications such as time series forecasting of sales data, predicting stock prices and stock returns, and classification of smartphone data to predict user behavior.

In this course you will learn ETS and Exponential Smoothing Models, Holt's Linear Trend Model and Holt-Winters, Autoregressive and Moving Average Models (ARIMA), Seasonal ARIMA (SARIMA), and SARIMAX, Auto ARIMA, The statsmodels Python library, The pmdarima Python library, Machine learning for time series forecasting, Deep learning (ANNs, CNNs, RNNs, and LSTMs) for time series forecasting, Tensorflow 2 for predicting stock prices and returns, Vector autoregression (VAR) and vector moving average (VMA) models (VARMA), AWS Forecast (Amazon's time series forecasting service), FB Prophet (Facebook's time series library), Modeling and forecasting financial time series, GARCH (volatility modeling). If you are looking to learn and understand more of the above, then this course is suitable for you. So what are you waiting for? Signup now to get lifetime access, a certificate of completion you can show off on your LinkedIn profile, and the skills to use the latest time series analysis techniques that you cannot learn anywhere else.

They will cover applications such as:

• Time-series forecasting of sales data
• Time-series forecasting of stock prices and stock returns
• Time series classification of smartphone data to predict user behavior.

The VIP version of the course will cover even more exciting topics, such as:

• AWS Forecast (Amazon's state-of-the-art low-code forecasting API)
• GARCH (financial volatility modeling)
• FB Prophet (Facebook's time series library)

Who is this course for?

• Anyone who loves or wants to learn about time series analysis
• Students and professionals who want to advance their careers in finance, time series analysis, or data science

Requirements:

• Decent Python coding skills.
• Numpy, Matplotlib, Pandas, and Scipy (They teach this for free!)
• Matrix arithmetic
• Probability

Udemy rating: 4.7/5

Enroll here: https://www.udemy.com/course/time-series-analysis/