Uploaded November 2022 | Updated September 2026, 3 hours ago
Watch this video to learn how to answer a Forbes Most Profitable Companies interview question with Python. With the help of the sample() function and the info() function, you'll learn tips on solving this question.
Link to the question: platform.stratascratch.com/coding/10354-most-profitable-companies?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
______________________________________________________________________
👉 Watch the full video: youtu.be/a8T88wCrmAQ
👉 Subscribe to my channel: bit.ly/2GsFxmA
👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81
👉 Playlist for data science interview tips: bit.ly/2G5hNoJ
👉 Practice more real data science interview questions: platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
______________________________________________________________________
About The Platform:
I'm using StrataScratch (platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link), a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and python), statistics, probability, product sense, and business cases.
So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link. All questions are free and you can even execute SQL and python code in the IDE, but if you want to check out the solutions from me or from other users, you can use ss15 for a 15% discount on the premium plans.
______________________________________________________________________
Contact:
If you have any questions, comments, or feedback, please leave them here!
Feel free to also email me at nathan@stratascratch.com
______________________________________________________________________
#StrataScratch #Python #PythonInterviewQuestions
Watch this video to learn how to answer a Forbes Most Profitable Companies interview question with Python. With the help of the sample() function and the info() function, you'll learn tips on solving this question.
Link to the question: platform.stratascratch.com/coding/10354-most-profitable-companies?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
______________________________________________________________________
👉 Watch the full video: youtu.be/a8T88wCrmAQ
👉 Subscribe to my channel: bit.ly/2GsFxmA
👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81
👉 Playlist for data science interview tips: bit.ly/2G5hNoJ
👉 Practice more real data science interview questions: platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
______________________________________________________________________
About The Platform:
I'm using StrataScratch (platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link), a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and python), statistics, probability, product sense, and business cases.
So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link. All questions are free and you can even execute SQL and python code in the IDE, but if you want to check out the solutions from me or from other users, you can use ss15 for a 15% discount on the premium plans.
______________________________________________________________________
Contact:
If you have any questions, comments, or feedback, please leave them here!
Feel free to also email me at nathan@stratascratch.com
______________________________________________________________________
#StrataScratch #Python #PythonInterviewQuestions
![Importing a Pandas Dataframe to a Database in Python [For Your Data Science Project]](https://i.ytimg.com/vi/77IVf0zgmwI/mqdefault.jpg "Importing a Pandas Dataframe to a Database in Python [For Your Data Science Project]
Today we’re going to talk about how to upload your data from a pandas dataframe to a database in the cloud. This is a continuation of building the one and only data science project you need (https://www.youtube.com/watch?v=c4Af2FcgamA) where I introduced the infrastructure you can build for data science projects. The first part is to collect data from an API as your data source. I walked you through how to do that in this video (https://www.youtube.com/watch?v=fklHBWow8vE). Now that you have the data from the API saved in a pandas dataframe, we need to get it into a database table.
Link to Github repo: https://github.com/Strata-Scratch/api-youtube
👉 Subscribe to my channel: https://bit.ly/2GsFxmA
👉 Playlist for more data science interview questions and answers: https://bit.ly/3jifw81
👉 Playlist for data science interview tips: https://bit.ly/2G5hNoJ
👉 Practice more real data science interview questions: https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
Timeline:
Intro: (0:00)
Solve for memory and performance issues: (0:45)
Have different version of the data: (1:02)
Create your database on the cloud: (2:27)
Create a Google Colab or Jupyter Notebook: (3:15)
Connecting to your database: (5:34)
Create your DB table: (8:02)
Loading your data into the DB table: (11:16)
Check to see if video exists: (13:10)
Updating the table: (16:15)
Inserting new videos to table: (19:58)
Testing: (28:54)
Conclusion: (31:55)
If you want data science interview practice with real data science interview questions, visit https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link. All questions are free and you can even execute SQL and python code in the IDE, but if you want to check out the solutions from me or from other users, you can use ss15 for a 15% discount on the premium plans.
Contact:
If you have any questions, comments, or feedback, please leave them here!
Feel free to also email me at nate@stratascratch.com
#PandasDataframe #datascience")
![Meta Product Families: head() Function to Explore the Data [Part 1]](https://i.ytimg.com/vi/9quwCoQ6CoU/mqdefault.jpg "Meta Product Families: head() Function to Explore the Data [Part 1]
If youre looking for help working with a dataset, then this video is for you! Well be using the head() function to explore the data in the Meta Product Families interview question, so that you can find out any missing values.
Part 2: https://www.youtube.com/shorts/yoUO84tOH3c
Go to the question through the link below and follow along with me👇
Link to the question: https://platform.stratascratch.com/coding/2123-product-families?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
👉 Watch the full video: https://youtu.be/RmMuS5iiviI
👉 Subscribe to my channel: https://bit.ly/2GsFxmA
👉 Playlist for more data science interview questions and answers: https://bit.ly/3jifw81
👉 Playlist for data science interview tips: https://bit.ly/2G5hNoJ
👉 Practice more real data science interview questions: https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
About The Platform:
Im using StrataScratch (https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link), a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and python), statistics, probability, product sense, and business cases.
So, if you want more interview practice with real data science interview questions, visit https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link. All questions are free and you can even execute SQL and python code in the IDE, but if you want to check out the solutions from me or from other users, you can use ss15 for a 15% discount on the premium plans.
Contact:
If you have any questions, comments, or feedback, please leave them here!
Feel free to also email me at nathan@stratascratch.com
#DataAnalytics #PythonInterviewQuestions #Stratascratch")
