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Python for Data Analysis: Learn Pandas and Data Science Basics

Unlock the power of Python for Data Analysis with this beginner-friendly tutorial! 🚀 Join Dr. Uohna June Thiessen, Director of Artificial Intelligence at NEXTELLIGENCE and Udacity instructor, as she walks you through Pandas, the must-know Python library for data science. Learn how to clean, manipulate, analyze, and visualize data like a pro, all with just a few lines of code! 🔍📊 🔑 What You’ll Learn: ✅ Why Python is essential for data analysis ✅ Introduction to Pandas: The "Excel on steroids" for data science ✅ How to install and set up Python, Pandas, and Jupyter Notebook ✅ Key Pandas functions for data manipulation and analysis ✅ Handling missing values, filtering, and transforming data ✅ Data visualization with Matplotlib and Seaborn ✅ Best practices and common mistakes to avoid 💡 Whether you're new to Python for data analysis or looking to refine your skills, this tutorial will help you become data empowered! 📌 Resources & Links: Udacity's School of Data Science: https://www.udacity.com/school/data-s... Python: https://python.org Pandas Documentation: https://pandas.pydata.org Jupyter Notebook: https://jupyter.org If you found this helpful, LIKE 👍, COMMENT, and SUBSCRIBE for more data science tutorials. Don't forget to hit the notification bell 🔔 to stay updated! --- Follow Dr. Uohna Thiessen on LinkedIn:   / druohna-datascientist   Continue learning Data Science at Udacity: https://bit.ly/3WImNUp --- Connect with us on social! 🌐 Instagram:   / udacity   LinkedIn:   / udacity   Facebook:   / udacity   X/Twitter:   / udacity   --- Video Chapters: 00:00 Unlocking Data Analysis with Python 02:44 The Power of Python in Data Science 05:25 Getting Started with Pandas 08:44 Data Manipulation and Visualization 11:32 Best Practices and Final Thoughts #PythonForDataAnalysis #PandasTutorial #DataScience #MachineLearning #PythonProgramming #DataVisualization #Udacity #AI #BigData #DrUohnaThiessen