Exploratory Time Series Analysis

4.3
stars
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Offered By
Coursera Community Project Network
In this Guided Project, you will:

Get hands-on experience for basic exploratory time series data analysis

Clock82 minutes
BeginnerBeginner
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

This project focuses on the time series data analysis for beginners using python. Model building is effective only after doing proper exploratory analysis and get insight into the data set. The objectives are as follows: 1. Importing required libraries and import time-series data sets. 2. Get basic descriptive statistics and review the summary of time-series data 3. Get inference from the visualization graphs of time series data 4. Check the behavior of time series data 5. Apply transformation functions to convert non-stationary to stationary This Guided Project was created by a Coursera community member.

Skills you will develop

NumpyPandasMatplotlibbasic statistics

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Introduction to the project and Instructor

  2. Task1: Import libraries and data

  3. Task2: Basic descriptive statistics

  4. Task3: Data Visualization

  5. Task4 : Stationarity check

  6. Task5 : Apply transformation functions

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Instructor

Frequently asked questions

Frequently Asked Questions

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