Python for Time Series Data Analysis
Learn how to use Python , Pandas, Numpy , and Statsmodels for Time Series Forecasting and Analysis!
4.54 (8622 reviews)
48 500
students
15.5 hours
content
Jul 2020
last update
$119.99
regular price
What you will learn
Pandas for Data Manipulation
NumPy and Python for Numerical Processing
Pandas for Data Visualization
How to Work with Time Series Data with Pandas
Use Statsmodels to Analyze Time Series Data
Use Facebook's Prophet Library for forecasting
Understand advanced ARIMA models for Forecasting
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Our Verdict
This course provides a solid understanding of various time series analysis techniques using Python, with practical examples and exercises. However, some codes are outdated and require updating on the part of the student. The course could benefit from more in-depth coverage of some topics and a wider range of examples to ensure comprehension for learners of all levels. While the course is a good starting point, students should be prepared to do additional research and update code where necessary.
What We Liked
- Covers a wide range of time series analysis techniques using Python
- Includes practical examples and exercises using Jupyter notebooks
- Provides a solid understanding of popular models such as SARIMA, VARMA
- Comprehensive introduction to time series analysis
Potential Drawbacks
- Some codes are outdated and may not produce the same output as shown in the course
- Lacks coverage on other time series topics like anomaly detection and finding trends
- Explanation of some topics could be more in-depth with additional examples
- Requires a specific environment to run the code without issues
Related Topics
2235470
udemy ID
22/02/2019
course created date
14/06/2019
course indexed date
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