Time Series Analysis with Python - #03 Series Cleaning and Treatment

Introduction to Time Series with Python | Data Analysis and Visualization
🚀 Welcome to Lesson 3 of the Time Series with Python course!
In this lesson, we will focus on the pre-processing of temporal data, covering essential techniques to ensure more accurate and reliable analyses.
📈 What will you learn? ✔ How to clean and treat time series to avoid errors in analysis 🧼
✔ Methods for dealing with null values ​​and missing data 📉
✔ Techniques for transforming continuous series into categorical series 🔄
✔ How to visualize and interpret time series before modeling 📊
✔ Practical applications in business, finance and Formula 1 data analysis 🏎
🔥 Tools used: Pandas, Matplotlib, Seaborn
Code: colab.research...
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