Description
Time Series with Python, the training course on time series with Python is published by Datacamp Academy. Time series data is one of the most common types of data, and understanding how to work with it is an important data science skill if you want to forecast and report on trends. In this track, you will learn how to manipulate time series data using pandas, work with statistical libraries including NumPy and Statsmodels for data analysis, and develop your visualization skills using Matplotlib, SciPy, and Seaborn. develop You will then apply your time series skills using real-world data, including financial inventory data, UFO sightings, CO2 levels in Maui, monthly US candy production, and heartbeat sounds. By the end of this track, you will know how to predict the future using ARIMA class models and generate predictions and information using machine learning models.
What you will learn
- Working with time series data in Python
- Time series analysis in Python
- Time series data visualization in Python
- ARIMA models in Python
- Machine learning for time series data in Python
Details of the Time Series with Python course
- Publisher: Datacamp
- teacher : STEFAN JANSEN
- English language
- Education level: all levels
- Number of courses: 5
- Training duration: 20 hours to complete the course
Chapters of the Time Series with Python course
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
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
File(s) password: www.downloadly.ir
Size
549 MB
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