Description
Python for Time Series Data Analysis is a course from Udemy that teaches you how to use Python, Pandas, Numpy, and Statsmodels to forecast and analyze time series data. A time series is a sequence of random variables that are sampled at fixed time intervals. This course will show you all the tips for using Python for time series analysis and introduce you to other essential tools.
At the beginning of the course, you will learn how to work and edit data with the help of NumPy and Pandas libraries and Python language, and then you will learn how to visualize and work with time data. After that, you will start learning about the Statsmodels library and get familiar with its time series analysis tools. At the end, the course instructor will teach you how to build prediction models and introduce you to deep learning techniques.
Items taught in this course:
- Using Pandas to edit data
- Using NumPy and Python for numerical processing
- Using Pandas for visualization
- Working with time series data
- Using Statsmodels for time series analysis
- Familiarity with ARIMA models
Specifications of the Python for Time Series Data Analysis course:
- English language
- Duration: 15 hours and 21 minutes
- Number of courses: 95
- Education level: Intermediate
- teacher : Jose Portilla
- File format: mp4
Course headings
Course prerequisites
- General Python Skills (knowledge up to functions)
Pictures
Sample video
Installation guide
After extracting, watch with your favorite player.
English subtitle
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
Password file(s): www.downloadly.ir
Size
6.30 GB
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