Udemy – Python for Time Series Data Analysis 2020-7
Udemy – Python for Time Series Data Analysis 2020-7 Downloadly IRSpace
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Python for Time Series Data Analysis is a tutorial from Udemy that teaches you how to use Python, Pandas, Numpy, and Statsmodels to predict and analyze time series data. A time series is a sequence of random variables sampled at fixed intervals. This course will show you all the tips for using Python to analyze time series and introduce you to other essential tools.
At the beginning of the course, you’ll learn how to work with and edit data with the NumPy and Pandas libraries and the Python language, and then learn how to visualize and work with time data. You then start learning about the Statsmodels library and learn about its time series analysis tools. The tutor at the end will also teach you how to build predictive models and introduce you to deep learning techniques.
Courses taught in this course:
- Use Pandas to edit data
- Use NumPy and Python for numerical processing
- Use Pandas to visualize
- Working with time series data
- Using Statsmodels for time series analysis
- Introduction to ARIMA models
Python for Time Series Data Analysis course specifications:
- English language
- Duration: 15 hours and 21 minutes
- Number of courses: 95
- Level of education: Intermediate
- Tutor: Jose Portilla
- File format: mp4
Course headings
Course prerequisites
- General Python Skills
Pictures
Sample movie
Installation guide
View with your favorite Player after Extract.
Subtitle: English
Quality: 1080p
Changes:
Version 2020/7 compared to 2019/5 has not changed in the number of courses and duration of the course, but the quality of the course has increased from 720p to 1080p. English subtitles have also been added to the course.
Download link
Size
6.30 GB
