Get hands-on experience for basic exploratory time series data analysis
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.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction to the project and Instructor
Task1: Import libraries and data
Task2: Basic descriptive statistics
Task3: Data Visualization
Task4 : Stationarity check
Task5 : Apply transformation functions
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
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Can I complete this Guided Project right through my web browser, instead of installing special software?
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What is the learning experience like with Guided Projects?
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
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