Manipulating Time Series Data in Python

Name: Manipulating Time Series Data in Python
Brand: Careervira
Price: 74 USD
Availability: InStock
Rating: 1 (1 reviews)

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DataCamp

Course Report

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Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

This course will show you how to manipulate time-series data. Time series data are data that has been indexed using a sequence or dates. This course will show you how Pandas' methods can be used to create this index. You will learn how to resample times sequences to change frequency. Learn how to calculate cumulative or rolling values for time series. Learn how to calculate a value-weighted stock index using actual stock data.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Data Manipulation with pandas

What You Will Learn

Finally, you'll use all your new skills to build a value-weighted stock index from actual stock data

In this course you'll learn the basics of working with time series data

You'll also learn how resample time series to change the frequency

Course Content

Expand all sections

Module 1: Working with Time Series in Pandas

Module 2: Basic Time Series Metrics Resampling

Module 3: Window Functions: Rolling Expanding Metrics

Module 4: Putting it all together: Building a value-weighted index

Course Instructors

Stefan Jansen

Founder & Lead Data Scientist at Applied Artificial Intelligence

Stefan is the Founder Lead Data Scientist at Applied Artificial Intelligence. He has 15 years of experience in finance and investments, with a big focus on emerging markets.