Using Python for Data Analysis
Learn how to utilize Python effectively as a data analyst with resources and tools for job data applications, Python for everyone, and data science.

Luke Barousse
444.5K views β’ Nov 25, 2022

About this video
π² Job Data App ππΌ https://datanerd.tech/
πΒ Python For Everybody ππΌΒ https://lukeb.co/PythonForEverybody
πΒ Python for Data Science ππΌΒ https://lukeb.co/PythonDataScience
π¨πΌβπ» My FREE Course to be a Data Analyst π https://lukebarousse.com/5daycourse
Python App Resources:
==================================
βΎοΈΒ EDA Python Notebook ππΌΒ https://www.kaggle.com/code/lukebarousse/eda-of-job-posting-data
πΒ Kaggle Dataset ππΌΒ https://www.kaggle.com/datasets/lukebarousse/data-analyst-job-postings-google-search
π½ GitHub Repo ππΌ https://github.com/lukebarousse/Data_Analyst_Streamlit_App_V1
βοΈ SerpAPI to BigQuery Python Code ππΌ https://gist.github.com/lukebarousse/ded1fc3dbde6e0050d45635140480aee
π· SerpAPI ππΌ https://serpapi.com/ (π₯20% OFFπ₯ If you tell them Luke sent you)
πΎ r/DataNerd Subreddit ππΌ https://www.reddit.com/r/DataNerd/
* NOTE: The Streamit app I built in this video keeps crashing due to heavy traffic π which is a good thing! π And so I built a new one: https://datanerd.tech/
Courses for Data Nerds
==================================
π Google Data Analytics Certificate (START HERE) ππΌ https://lukeb.co/GoogleCert
βοΈ Google Cloud Fundamentals ππΌ https://lukeb.co/GoogleCloud
πΏ SQL for Data Science ππΌ https://lukeb.co/SQLdataScience
π§Ύ Excel Skills for Business ππΌΒ https://lukeb.co/ExcelBusinessAnalyst
π Python for Everybody ππΌ https://lukeb.co/PythonForEverybody
π Data Visualization with Tableau ππΌΒ https://lukeb.co/Tableau_UCDavis
π΄ββ οΈ Data Science: Foundations using R ππΌ https://lukeb.co/RforDataScienceJH
β Coursera Plus Subscription (7-day free trial) ππΌ https://lukeb.co/CourseraPlus
π¨πΌβπ« All courses ππΌ https://kit.co/lukebarousse/data-analytics-courses
Build a Portfolio
==================================
π©π»βπ»Build portfolio here ππΌ http://hostinger.com/luke
Rebate Code: "LUKE"
My Portfolio ππΌ https://lukebarousse.tech/
Books for Data Nerds
==================================
π Books Iβve read ππΌ https://kit.co/lukebarousse/book-recommendations
π Data Analyst Must Read ππΌ https://geni.us/StorytellingWithData
π Tableau ππΌ https://geni.us/tableau
π Power BIππΌ https://geni.us/powerbi
π Python ππΌ https://geni.us/pythontricks
Tech for Data Nerds
==================================
βοΈ Tech I use ππΌ https://kit.co/lukebarousse/computer-accessories
πͺWindows on a Mac (Parallels VM) ππΌ https://lukeb.co/ParallelsFreeTrial
π¨πΌβπ» M1 Macbook Air (Mac of choice) ππΌ https://geni.us/M1macAir8GB
π» Dell XPS 13 (PC of choice) ππΌ https://geni.us/DellNewXPS13
π» Asus Vivo Book (Lowest Cost PC) ππΌ https://geni.us/AsusVivoBook15
π»Lenovo IdeaPad (Best Value PC)ππΌ https://geni.us/LenovoIdeaPad15
Social Media / Contact Me
======================
πΎ r/DataNerd ππΌ https://www.reddit.com/r/DataNerd/
π Instagram: https://www.instagram.com/lukebarousse/
β° TikTok: https://www.tiktok.com/@lukebarousse
π Facebook: https://www.facebook.com/datavizbyluke
ππΌββοΈNewsletter: https://www.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
πΒ Python For Everybody ππΌΒ https://lukeb.co/PythonForEverybody
πΒ Python for Data Science ππΌΒ https://lukeb.co/PythonDataScience
π¨πΌβπ» My FREE Course to be a Data Analyst π https://lukebarousse.com/5daycourse
Python App Resources:
==================================
βΎοΈΒ EDA Python Notebook ππΌΒ https://www.kaggle.com/code/lukebarousse/eda-of-job-posting-data
πΒ Kaggle Dataset ππΌΒ https://www.kaggle.com/datasets/lukebarousse/data-analyst-job-postings-google-search
π½ GitHub Repo ππΌ https://github.com/lukebarousse/Data_Analyst_Streamlit_App_V1
βοΈ SerpAPI to BigQuery Python Code ππΌ https://gist.github.com/lukebarousse/ded1fc3dbde6e0050d45635140480aee
π· SerpAPI ππΌ https://serpapi.com/ (π₯20% OFFπ₯ If you tell them Luke sent you)
πΎ r/DataNerd Subreddit ππΌ https://www.reddit.com/r/DataNerd/
* NOTE: The Streamit app I built in this video keeps crashing due to heavy traffic π which is a good thing! π And so I built a new one: https://datanerd.tech/
Courses for Data Nerds
==================================
π Google Data Analytics Certificate (START HERE) ππΌ https://lukeb.co/GoogleCert
βοΈ Google Cloud Fundamentals ππΌ https://lukeb.co/GoogleCloud
πΏ SQL for Data Science ππΌ https://lukeb.co/SQLdataScience
π§Ύ Excel Skills for Business ππΌΒ https://lukeb.co/ExcelBusinessAnalyst
π Python for Everybody ππΌ https://lukeb.co/PythonForEverybody
π Data Visualization with Tableau ππΌΒ https://lukeb.co/Tableau_UCDavis
π΄ββ οΈ Data Science: Foundations using R ππΌ https://lukeb.co/RforDataScienceJH
β Coursera Plus Subscription (7-day free trial) ππΌ https://lukeb.co/CourseraPlus
π¨πΌβπ« All courses ππΌ https://kit.co/lukebarousse/data-analytics-courses
Build a Portfolio
==================================
π©π»βπ»Build portfolio here ππΌ http://hostinger.com/luke
Rebate Code: "LUKE"
My Portfolio ππΌ https://lukebarousse.tech/
Books for Data Nerds
==================================
π Books Iβve read ππΌ https://kit.co/lukebarousse/book-recommendations
π Data Analyst Must Read ππΌ https://geni.us/StorytellingWithData
π Tableau ππΌ https://geni.us/tableau
π Power BIππΌ https://geni.us/powerbi
π Python ππΌ https://geni.us/pythontricks
Tech for Data Nerds
==================================
βοΈ Tech I use ππΌ https://kit.co/lukebarousse/computer-accessories
πͺWindows on a Mac (Parallels VM) ππΌ https://lukeb.co/ParallelsFreeTrial
π¨πΌβπ» M1 Macbook Air (Mac of choice) ππΌ https://geni.us/M1macAir8GB
π» Dell XPS 13 (PC of choice) ππΌ https://geni.us/DellNewXPS13
π» Asus Vivo Book (Lowest Cost PC) ππΌ https://geni.us/AsusVivoBook15
π»Lenovo IdeaPad (Best Value PC)ππΌ https://geni.us/LenovoIdeaPad15
Social Media / Contact Me
======================
πΎ r/DataNerd ππΌ https://www.reddit.com/r/DataNerd/
π Instagram: https://www.instagram.com/lukebarousse/
β° TikTok: https://www.tiktok.com/@lukebarousse
π Facebook: https://www.facebook.com/datavizbyluke
ππΌββοΈNewsletter: https://www.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
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Video Information
Views
444.5K
Likes
16.4K
Duration
13:56
Published
Nov 25, 2022
User Reviews
4.8
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