Financial Analysis with ARIMA and Time Series Forecasting
English | Tutorial | Size: 997.6 MB
In this 6 hr course, you’ll master the fundamentals of time series analysis and learn to employ ARIMA models for financial analysis and forecasting. With a blend of hands-on coding exercises and theory, this course empowers you to understand data transformations, create accurate forecasts, and make informed decisions based on financial data.
What I will be able to do after this course
Understand and analyze time series data in the context of financial applications.
Perform data transformations such as Box-Cox and others for efficient time series modeling.
Develop and implement ARIMA models for predictive analysis of financial datasets.
Perform essential statistical tests such as stationarity using ACF/PACF plots.
Generate accurate data-driven forecasting solutions applicable to real-world financial scenarios.
Course Instructor(s)
Lazy Programmer has a robust background in data science and machine learning, with significant expertise in financial data analysis using Python. Recognized for his clear, structured teaching method, Lazy Programmer brings years of experience in both the industry and online education. He is committed to providing learners with practical skills and a deep understanding of the subject.
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