Data Science Portfolio Project From Scratch | Building a YouTube Data Dashboard with Streamlit

Check out the #30DaysOfStreamlit here! https://share.streamlit.io/streamlit/30days. Again, this is a great learning objective that can be done alongside the #66DaysOfData! In this video I walk you through a basic data science portfolio project using python and streamlit. This is more of an exploratory data analysis project than a modeling project. I have set the groundwork, but have described many ways to improve upon this analysis for you to make this project your own! Data for the Project: https://www.kaggle.com/datasets/kenjee/ken-jee-youtube-data Github for the Project: https://github.com/PlayingNumbers/YT_Dashboard_st Anaconda Setup Video: https://www.seevid.ir/fa/w/C4OPn58BLaU What is #66DaysOfData? - https://www.seevid.ir/fa/w/qV_AlRwhI3I https://www.seevid.ir/fa/w/Yk-unX4KnV4 Intro https://www.seevid.ir/fa/w/Yk-unX4KnV4 What value can you drive from the data? https://www.seevid.ir/fa/w/Yk-unX4KnV4 The dashboard we are building https://www.seevid.ir/fa/w/Yk-unX4KnV4 Creating a new conda environment https://www.seevid.ir/fa/w/Yk-unX4KnV4 Getting the data https://www.seevid.ir/fa/w/Yk-unX4KnV4 Setting up the analysis https://www.seevid.ir/fa/w/Yk-unX4KnV4 Loading in the data https://www.seevid.ir/fa/w/Yk-unX4KnV4 Basic feature engineering https://www.seevid.ir/fa/w/Yk-unX4KnV4 Adding the sidebar https://www.seevid.ir/fa/w/Yk-unX4KnV4 Adding Metrics https://www.seevid.ir/fa/w/Yk-unX4KnV4 Adding in columns and advanced merics https://www.seevid.ir/fa/w/Yk-unX4KnV4 Adding in formatted dataframe https://www.seevid.ir/fa/w/Yk-unX4KnV4 Styling the dataframe https://www.seevid.ir/fa/w/Yk-unX4KnV4 Individual video analysis https://www.seevid.ir/fa/w/Yk-unX4KnV4 Adding a dropdown https://www.seevid.ir/fa/w/Yk-unX4KnV4 Create graph for subscriber status and country https://www.seevid.ir/fa/w/Yk-unX4KnV4 Building performance over time chart https://www.seevid.ir/fa/w/Yk-unX4KnV4 How could this be improved? https://www.seevid.ir/fa/w/Yk-unX4KnV4 Publishing the Streamlit app Streamlit Documenation - https://docs.streamlit.io/ Pandas Table Visualization - https://pandas.pydata.org/docs/user_guide/style.html Plotly Documentation - https://plotly.com/python-api-reference/index.html #DataScience #KenJee ⭕ Subscribe: 🎙 Listen to My Podcast: 🕸 Check out My Website - https://kennethjee.com/ ✍️Sign up for My Newsletter - https://www.kennethjee.com/newsletter 📚 Books and Products I use - https://www.amazon.com/shop/kenjee (affiliate link) Partners & Affiliates 🌟 365 Data Science - Courses ( 57% Annual Discount): https://365datascience.pxf.io/P0jbBY 🌟 Interview Query - https://www.interviewquery.com/?ref=kenjee MORE DATA SCIENCE CONTENT HERE: 🐤My Twitter - https://twitter.com/KenJee_DS 👔 LinkedIn - https://www.linkedin.com/in/kenjee/ 📈 Kaggle - https://www.kaggle.com/kenjee 📑 Medium Articles - https://medium.com/@kenneth.b.jee 💻 Github - https://github.com/PlayingNumbers 🏀 My Sports Blog -https://www.playingnumbers.com/ Check These Videos Out Next! My Leaderboard Project: https://www.seevid.ir/fa/w/myhoWUrSP7o 66 Days of Data: https://www.seevid.ir/fa/w/qV_AlRwhI3I How I Would Learn Data Science in 2021: https://www.seevid.ir/fa/w/41Clrh6nv1s My Playlists Data Science Beginners:    • Data Science Beginners   Project From Scratch: https://www.seevid.ir/fa/w/MpF9HENQjDo Kaggle Projects:    • Kaggle Projects  

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