Manipulating Time Series Data in Python
|
In this course you’ll learn the basics of working with time series data.
In this course you’ll learn the basics of manipulating time series data. Time series data are data that are indexed by a sequence of dates or times. You’ll learn how to use methods built into Pandas to work with this index. You’ll also learn how resample time series to change the frequency. This course will also show you how to calculate rolling and cumulative values for times series. Finally, you’ll use all your new skills to build a value-weighted stock index from actual stock data.
User Reviews
Be the first to review “Manipulating Time Series Data in Python”
Related Products
Intro to Data Analysis
Understand the principles of data analysis, including techniques for data collection, cleaning, and interpretation.
Master Statistics with Python
Learn the statistics behind data science, from summary statistics to regression models.
Predictive Analytics for Business
Learn to predict future outcomes and trends through statistical modeling techniques.
Introduction to Data
Learn the fundamentals of data collection, analysis, and interpretation.
Discovering Predictive Analytics with Alteryx
Explore predictive analytics techniques and tools using Alteryx to forecast future trends based on historical data.
Visualize Data with Python
Learn to make effective data visualizations in Python with Matplotlib and Seaborn.
There are no reviews yet.