Uploaded November 2022 | Updated September 2026, 9 hours ago
ð² Job Data App ððŒ https://datanerd.tech/
ð Python For Everybody ððŒÂ lukeb.co/PythonForEverybody
ð Python for Data Science ððŒÂ lukeb.co/PythonDataScience
ðšðŒâð» My FREE Course to be a Data Analyst ð lukebarousse.com/5daycourse
Python App Resources:
==================================
âŸïžÂ EDA Python Notebook ððŒÂ kaggle.com/code/lukebarousse/eda-of-job-posting-data
ð Kaggle Dataset ððŒÂ kaggle.com/datasets/lukebarousse/data-analyst-job-postings-google-search
ðœ GitHub Repo ððŒ github.com/lukebarousse/Data_Analyst_Streamlit_App_V1
âïž SerpAPI to BigQuery Python Code ððŒ gist.github.com/lukebarousse/ded1fc3dbde6e0050d45635140480aee
ð· SerpAPI ððŒ serpapi.com (ð¥20% OFFð¥ If you tell them Luke sent you)
ðŸ r/DataNerd Subreddit ððŒ reddit.com/r/DataNerd
* NOTE: The Streamit app I built in this video keeps crashing due to heavy traffic ð which is a good thing! ð And so I built a new one: https://datanerd.tech/
Courses for Data Nerds
==================================
ð Google Data Analytics Certificate (START HERE) ððŒ lukeb.co/GoogleCert
âïž Google Cloud Fundamentals ððŒ lukeb.co/GoogleCloud
ð¿ SQL for Data Science ððŒ lukeb.co/SQLdataScience
ð§Ÿ Excel Skills for Business ððŒÂ lukeb.co/ExcelBusinessAnalyst
ð Python for Everybody ððŒ lukeb.co/PythonForEverybody
ð Data Visualization with Tableau ððŒÂ lukeb.co/Tableau_UCDavis
ðŽââ ïž Data Science: Foundations using R ððŒ lukeb.co/RforDataScienceJH
â Coursera Plus Subscription (7-day free trial) ððŒ lukeb.co/CourseraPlus
ððŒââïž My Courses ððŒ lukeb.co/courses
Build a Portfolio
==================================
ð©ð»âð»Build portfolio here ððŒ hostinger.com/luke
Rebate Code: "LUKE"
My Portfolio ððŒ https://lukebarousse.tech/
Books for Data Nerds
==================================
ð Book Recommendations ððŒ lukeb.co/recommendations
ð Data Analyst Must Read ððŒ geni.us/StorytellingWithData
ð Tableau ððŒ geni.us/tableau
ð Power BIððŒ geni.us/powerbi
ð Python ððŒ geni.us/pythontricks
Tech for Data Nerds
==================================
âïž Tech Recommendations ððŒ lukeb.co/recommendations
ðªWindows on a Mac (Parallels VM) ððŒ lukeb.co/ParallelsFreeTrial
ðšðŒâð» M1 Macbook Air (Mac of choice) ððŒ geni.us/M1macAir8GB
ð» Dell XPS 13 (PC of choice) ððŒ geni.us/DellNewXPS13
ð» Asus Vivo Book (Lowest Cost PC) ððŒ geni.us/AsusVivoBook15
ð»Lenovo IdeaPad (Best Value PC)ððŒ geni.us/LenovoIdeaPad15
Social Media / Contact Me
======================
ðŸ r/DataNerd ððŒ reddit.com/r/DataNerd
ð Instagram: instagram.com/lukebarousse
â° TikTok: tiktok.com/@lukebarousse
ð Facebook: facebook.com/datavizbyluke
ððŒââïžNewsletter: lukebarousse.com
00:00 Intro
01:31 How to collect data
02:33 APIs
03:19 Getting the Goods
04:58 What is a Database?
07:32 Cleaning the Goods
08:56 EDA of the Goods
09:31 Salary Analysis
10:01 Keyword Analysis
11:55 App Build... for the Goods
13:14 I NEED YOUR HELP!!!
As a member of the Amazon, Coursera, Hostinger, and Parallels Affiliate Programs, I earn a commission from qualifying purchases on the links above. It costs you nothing but helps me with content creation.
#datanerd #dataanalyst #datascience
ð² Job Data App ððŒ https://datanerd.tech/
ð Python For Everybody ððŒÂ lukeb.co/PythonForEverybody
ð Python for Data Science ððŒÂ lukeb.co/PythonDataScience
ðšðŒâð» My FREE Course to be a Data Analyst ð lukebarousse.com/5daycourse
Python App Resources:
==================================
âŸïžÂ EDA Python Notebook ððŒÂ kaggle.com/code/lukebarousse/eda-of-job-posting-data
ð Kaggle Dataset ððŒÂ kaggle.com/datasets/lukebarousse/data-analyst-job-postings-google-search
ðœ GitHub Repo ððŒ github.com/lukebarousse/Data_Analyst_Streamlit_App_V1
âïž SerpAPI to BigQuery Python Code ððŒ gist.github.com/lukebarousse/ded1fc3dbde6e0050d45635140480aee
ð· SerpAPI ððŒ serpapi.com (ð¥20% OFFð¥ If you tell them Luke sent you)
ðŸ r/DataNerd Subreddit ððŒ reddit.com/r/DataNerd
* NOTE: The Streamit app I built in this video keeps crashing due to heavy traffic ð which is a good thing! ð And so I built a new one: https://datanerd.tech/
Courses for Data Nerds
==================================
ð Google Data Analytics Certificate (START HERE) ððŒ lukeb.co/GoogleCert
âïž Google Cloud Fundamentals ððŒ lukeb.co/GoogleCloud
ð¿ SQL for Data Science ððŒ lukeb.co/SQLdataScience
ð§Ÿ Excel Skills for Business ððŒÂ lukeb.co/ExcelBusinessAnalyst
ð Python for Everybody ððŒ lukeb.co/PythonForEverybody
ð Data Visualization with Tableau ððŒÂ lukeb.co/Tableau_UCDavis
ðŽââ ïž Data Science: Foundations using R ððŒ lukeb.co/RforDataScienceJH
â Coursera Plus Subscription (7-day free trial) ððŒ lukeb.co/CourseraPlus
ððŒââïž My Courses ððŒ lukeb.co/courses
Build a Portfolio
==================================
ð©ð»âð»Build portfolio here ððŒ hostinger.com/luke
Rebate Code: "LUKE"
My Portfolio ððŒ https://lukebarousse.tech/
Books for Data Nerds
==================================
ð Book Recommendations ððŒ lukeb.co/recommendations
ð Data Analyst Must Read ððŒ geni.us/StorytellingWithData
ð Tableau ððŒ geni.us/tableau
ð Power BIððŒ geni.us/powerbi
ð Python ððŒ geni.us/pythontricks
Tech for Data Nerds
==================================
âïž Tech Recommendations ððŒ lukeb.co/recommendations
ðªWindows on a Mac (Parallels VM) ððŒ lukeb.co/ParallelsFreeTrial
ðšðŒâð» M1 Macbook Air (Mac of choice) ððŒ geni.us/M1macAir8GB
ð» Dell XPS 13 (PC of choice) ððŒ geni.us/DellNewXPS13
ð» Asus Vivo Book (Lowest Cost PC) ððŒ geni.us/AsusVivoBook15
ð»Lenovo IdeaPad (Best Value PC)ððŒ geni.us/LenovoIdeaPad15
Social Media / Contact Me
======================
ðŸ r/DataNerd ððŒ reddit.com/r/DataNerd
ð Instagram: instagram.com/lukebarousse
â° TikTok: tiktok.com/@lukebarousse
ð Facebook: facebook.com/datavizbyluke
ððŒââïžNewsletter: lukebarousse.com
00:00 Intro
01:31 How to collect data
02:33 APIs
03:19 Getting the Goods
04:58 What is a Database?
07:32 Cleaning the Goods
08:56 EDA of the Goods
09:31 Salary Analysis
10:01 Keyword Analysis
11:55 App Build... for the Goods
13:14 I NEED YOUR HELP!!!
As a member of the Amazon, Coursera, Hostinger, and Parallels Affiliate Programs, I earn a commission from qualifying purchases on the links above. It costs you nothing but helps me with content creation.
#datanerd #dataanalyst #datascience










