Python Tutorial | How to Conduct An Exploratory Data Analysis | Beginner Friendly

Use code ‘MAGGIE’ to get 30 days free access to all Anaconda’s data science courses such as Introduction to Data Visualization with Python and Introduction to Machine Learning: https://bit.ly/3Jspovd In this video, I show you how to quickly build a data science portfolio project in under 15 minutes. This project is beginner friendly and covers popular Python libraries pandas, seaborn, and folium. Coding starts at 5:14. Access the Jupyter notebook - https://bit.ly/3ZA8Hnn Dataset - NYC Citi Bike Trip Data via Kaggle - https://www.kaggle.com/datasets/hollyjordan/nyc-citi-bike-trip-data-october-2013/code via GitHub - https://github.com/mamaggie/TutorialProjects/tree/main/data Timestamps 00:00 project overview 01:20 download data + EDA overview 03:07 how to ask the right data questions 05:14 introductory Pandas for data wrangling 11:02 Question 1: How does trip length vary based on trip start time? 14:03 Question 2: Where are the popular bike stations? 19:18 3 ways Anaconda helps with data science + FREE DATA SCIENCE COURSES 20:25 Next Steps _____________________________________________________________________ 🖥️My Cozy Desk Set Up https://kit.co/maggieindata/desk-setup 📲Socials instagram: https://www.instagram.com/maggieindata linkedin: https://www.linkedin.com/in/y-maggie-ma/ discord: https://discord.com/invite/DSKykW5bAQ 🎥Other videos you might be interested in Turn your existing assignments into data science portfolio projects: https://youtu.be/3Oa2W3XH0LM 4 Ideas to Develop Data Science Portfolio Projects: https://youtu.be/IdyZj0q-eyQ Day in the life as a data scientist in Toronto: https://youtu.be/kGnEeJ6nY18 #python #datascience #tutorial