In this course, you will journey with 365 Careers is the #1 best-selling provider of finance courses on Udemy will teach you time Series Analysis in Python: Theory, Modeling: AR to SARIMAX, Vector Models, GARCH, Auto ARIMA, Forecasting. Enrolling in course, Time Series Analysis in Python 2020 which is taught by 365 Careers.
Take the course, Time Series Analysis in Python 2020. Here are some of the things you’ll be able to do after taking this course:
Upon completing this course, you will understand the fundamental assumptions of time series data and how to take advantage of them.
This course is an excellent way to learn about accounting for “unexpected shocks” via moving averages.
After completion of this course, students will comprehend the need to normalize data when comparing different time series.
By the end of this course, you will carry out time-series analysis in Python and interpreting the results, based on the data in question.
Upon completion of the course, you will be able to examine the crucial differences between related series like prices and returns.
Upon completion, you will acknowledge the notion of integration and understand when, why and how to properly use it.
You’ll be able to realize the importance of volatility and how we can measure it.
At the end of the course, you will transforming a data set into a time-series.
You will start coding in Python and learn how to use it for statistical analysis.
By the end of this course, you’ll differentiate between time series data and cross-sectional data.
Encounter special types of time series like White Noise and Random Walks.
This course is an excellent way to learn about “autocorrelation” and how to account for it.
Discuss model selection in time series and the role residuals play in it.
Comprehend stationarity and how to test for its existence.
Forecast the future based on patterns observed in the past.
Who this course is for:
This course is intended for people interested in quantitative finance.
This course is perfect for finance graduates and professionals who need to better apply their knowledge in Python.
This course is meant for programming beginners.
This course is intended for programmers who want to specialize in finance.
This course is perfect for aspiring data scientists.
This course is an excellent choice!
Course: Time Series Analysis in Python 2020
Author: 365 Careers (Creating opportunities for Business & Finance students)
Categories: Business, Data & Analytics, Time Series Analysis
Includes: 7.5 hours on-demand video, 97 lectures, Unlimited access watch the course as many times as you wish! 30-day money back guarantee! Learn at your own pace wherever and whenever on the computer, mobile device, or tablet, and Certificate of completion to present to your current or future employer!
Enroll in This Online Course Now!
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