Udemy – Python for Time Series Data Analysis 2020-7 – Download

Description

Python for Time Series Data Analysis is a Udemy tutorial 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 regular intervals. This course shows all the tips for using Python for time series analysis and introduces other important tools.

At the beginning of the course, you will learn how to work with and change data using the NumPy and Pandas libraries and the Python language, and then how to visualize and work with time data. You will then begin to explore the Statsmodels library and familiarize yourself with its time series analysis tools. The tutorial at the end also teaches you how to build predictive models and introduces you to deep learning techniques.

Courses taught in this course:

Use Pandas to modify data
Using NumPy and Python for numerical processing
Use Pandas for visualization
Work with time series data
Using Statsmodels for time series analysis
Introduction of ARIMA models

Python for Time Series Data Analysis Course Specifications:

English
Duration: 15 hours and 21 minutes
Number of courses: 95
Education level: intermediate
Instructor: Jose Portilla
File format: mp4

Course titles

Python for analyzing time series data

Course prerequisites

Pictures

Python for analyzing time series data

Sample movie

installation manual

After extraction, watch with your favorite player.

Subtitle: English

Quality: 1080p

Changes:

Version 2020/7 compared to 2019/5 has not changed in the number of courses and course duration, but the quality of the course has increased from 720p to 1080p. English subtitles have also been added to the course.