Time Series Analysis, Forecasting, and Machine Learning
Greetings and welcome to Python Time Series Analysis, Forecasting, and Machine Learning. In recent years, the area of time series analysis has gained significant importance. This course on time series analysis is not your typical one. This course covers contemporary breakthroughs like deep learning, time series classification (which can read thoughts from brain activity or drive user insights from smartphone data), and more.
The course will cover methods including moving average models, vector autoregression, and machine learning models like logistic regression, support vector machines, and random forests. Applications like time series forecasting of sales data and time series forecasting of stock prices and return on investment will be covered. The course's VIP edition will cover even more fascinating subjects including GARCH, AWS Forecast (Amazon's cutting-edge low-code forecasting API), and more (financial volatility modeling).
So why are you still waiting? Sign up right now to receive lifelong access, a completion certificate you can display on your LinkedIn profile, and the knowledge necessary to employ the most recent time series analysis techniques that you can only learn here.
Requirements:
- Decent Python coding skills
- Numpy, Matplotlib, Pandas, and Scipy
- Matrix arithmetic
- Probability
Who this course is for:
- Anyone who loves or wants to learn about time series analysis
- Students and professionals who want to advance their career in finance, time series analysis, or data science
Course Rating: 4.7/5
Enroll here: https://www.udemy.com/course/time-series-analysis/
