In this video, I show you how to clean up data within Python Pandas within Jupyter notebook. This Python tutorial is great for those trying to get into Data Analytics or Data Science. Cricket Data: https://www.espncricinfo.com/records/highest-career-batting-average-282910 Everything is coded within MSSQL and inside SQL Server Management Studio. Interested in discussing a Data or AI project? Feel free to reach out via email or simply complete the contact form on my website. 📧 Email: ryannolandata@gmail.com 🌐 Website & Blog: https://ryannolandata.com/ 🍿 WATCH NEXT Python for Data Analyst and Scientists Playlist:    • Python Tutorials   Python Groupby: https://www.youtube.com/watch?v=L5kf4sQnVhI Python Pandas Interview Questions: https://www.youtube.com/watch?v=9_8ZFhzWZ_w Python Lambda Functions: https://www.youtube.com/watch?v=7AIEzPfC0kI MY OTHER SOCIALS: 👨‍💻 LinkedIn: https://www.linkedin.com/in/ryan-p-nolan/ 🐦 Twitter: https://twitter.com/RyanNolan_ ⚙️ GitHub: https://github.com/RyanNolanData 🖥️ Discord: https://discord.com/invite/F7dxbvHUhg 📚 *Practice SQL & Python Interview Questions: https://stratascratch.com/?via=ryan WHO AM I? As a full-time data analyst/scientist at a fintech company specializing in combating fraud within underwriting and risk, I've transitioned from my background in Electrical Engineering to pursue my true passion: data. In this dynamic field, I've discovered a profound interest in leveraging data analytics to address complex challenges in the financial sector. This YouTube channel serves as both a platform for sharing knowledge and a personal journey of continuous learning. With a commitment to growth, I aim to expand my skill set by publishing 2 to 3 new videos each week, delving into various aspects of data analytics/science and Artificial Intelligence. Join me on this exciting journey as we explore the endless possibilities of data together. *This is an affiliate program. I may receive a small portion of the final sale at no extra cost to you.