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-science
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: https://www.linkedin.com/in/druohna-datascientist/
Continue learning Data Science at Udacity: https://bit.ly/3WImNUp
---
Connect with us on social! ????
Instagram: https://www.instagram.com/udacity/
LinkedIn: https://www.linkedin.com/school/udacity/
Facebook: https://www.facebook.com/Udacity/
X/Twitter: https://twitter.com/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
???? 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-science
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: https://www.linkedin.com/in/druohna-datascientist/
Continue learning Data Science at Udacity: https://bit.ly/3WImNUp
---
Connect with us on social! ????
Instagram: https://www.instagram.com/udacity/
LinkedIn: https://www.linkedin.com/school/udacity/
Facebook: https://www.facebook.com/Udacity/
X/Twitter: https://twitter.com/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
- Catégories
- Intelligence Artificielle
- Mots-clés
- python for data analysis, pandas tutorial, python pandas
Commentaires