
An Introduction to Time-series Analysis Using Python and Pandas
Last Updated on July 25, 2023 by Editorial Team
Author(s): Oscar Arzamendia
Originally published on Towards AI.
Assumptions
Very recently I had the opportunity to work on building a sales forecaster as a POC. It was a challenging project with a cool MVP as an outcome, and through this post, I will share part of my journey and findings on analyzing the data I was provided with.
I will assume you have previous knowledge of both Python and Pandas.
This project started like every other data science project: by checking the data we had in hand. I did this by importing the CSV file provided as data source.
path_to_csv = r'path\to\csv\file.csv'data_df = pd.read_csv(path_to_csv)data_df.head()
Once I had a clear idea of how the… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Take our 90+ lesson From Beginner to Advanced LLM Developer Certification: From choosing a project to deploying a working product this is the most comprehensive and practical LLM course out there!
Towards AI has published Building LLMs for Production—our 470+ page guide to mastering LLMs with practical projects and expert insights!

Discover Your Dream AI Career at Towards AI Jobs
Towards AI has built a jobs board tailored specifically to Machine Learning and Data Science Jobs and Skills. Our software searches for live AI jobs each hour, labels and categorises them and makes them easily searchable. Explore over 40,000 live jobs today with Towards AI Jobs!
Note: Content contains the views of the contributing authors and not Towards AI.