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.
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.
