Datacamp – Time Series with Python 2023-11

Time Series with Python, Time series data is one of the most common data types and understanding how to work with it is a critical data science skill if you want to make predictions and report on trends. In this track, you’ll learn how to manipulate time series data using pandas, work with statistical libraries including NumPy and statsmodels to analyze data, and develop your visualization skills using Matplotlib, SciPy, and seaborn. You’ll then apply your time series skills using real-world data, including financial stock data, UFO sightings, CO2 levels in Maui, monthly candy production in the US, and heartbeat sounds. By the end of this track, you’ll know how to forecast the future using ARIMA class models and generate predictions and insights using machine learning models.

What you’ll learn

• Manipulating Time Series Data in Python
• Time Series Analysis in Python
• Visualizing Time Series Data in Python
• ARIMA Models in Python
• Machine Learning for Time Series Data in Python

Specificatoin of Time Series with Python

• Publisher : Datacamp
• Teacher : STEFAN JANSEN
• Language : English
• Level : All Levels
• Number of Course : 5
• Duration : 20 hours to complete the course

Content of Time Series with Python

Pictures

Sample Clip

Installation Guide

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Subtitle : English

Quality: 720p

Download Links

Manipulating Time Series Data in Python

Download – 147 MB

Time Series Analysis in Python

Download – 101 MB

Visualizing Time Series Data in Python

Download – 147 MB

ARIMA Models in Python

Download – 69 MB

Machine Learning for Time Series Data in Python

Download – 83 MB

File size

549 MB