Time Series Analysis in Python 2022
If there is a time dependency, you will be able to tell because the solution is time series analysis. You will learn the practical skills necessary to become a data analyst, data scientist, or a quantitative finance analyst in this course. You'll quickly pick up the core abilities needed to do challenging time series analysis that is immediately useful in the real world.
The instructor has developed a time series course that is both thorough and timeless. What to anticipate is the key question while taking an online course. And the instructor has made sure you have access to all the resources you need to master time series analysis. In order to better prepare you for the modeling that follows, the course begins by examining the fundamental concepts of time series theory. Then, as the course progresses, you will deal with a variety of Python libraries, giving you a thorough education.
Along with other key libraries like NumPy, matplotlib, StatsModels, yfinance, ARCH, and pmdarima, the instructor will make use of the robust time series capability inherent into pandas. You will learn all you need to know in this course to finally understand time series. Additionally, you will receive a ton of extra resources, including files for notebooks, course notes, quizzes, and a ton of activities.
Requirements:
- No prior experience with time-series is required.
- You'll need to install Anaconda.
- Some general understanding of coding languages is preferred, but not required.
Who this course is for:
- Aspiring data scientists.
- Programming beginners.
- People interested in quantitative finance.
- Programmers who want to specialize in finance.
- Finance graduates and professionals who need to better apply their knowledge in Python.
Course Rating: 4.5/5
Enroll here: https://www.udemy.com/course/time-series-analysis-in-python/
