How Good are you at Data Science?? (Datacamp Platform Exploration)

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Try out the Datacamp platform - Assess your skills, learn Python, SQL, R and more... and get certified as a data professional!

Explore data science and Python skills through a Datacamp assessment walkthrough. This video covers challenges in data manipulation, importing and cleaning data, and using pandas functions like melt and pivot tables. Learn approaches for coding problems, effective use of documentation, and tips for consistent practice. Suitable for beginners and those looking to refine their skills, the video provides insights into data analysis tasks and showcases learning resources for aspiring data scientists.

Special shoutout to David Yusuf for making intro & outro music!
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Video timeline!
0:00 - Introduction and Getting Started
1:38 - Data Importing and Cleaning Assessment Walkthrough
19:30 - Reviewing our Results
22:45 - Four Elements of Expertise in Data Science
26:53 - Exploring DataCamp's Additional Features

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Beautiful video as always Keith!!
Thanks for the shoutout, means a lot 🤝🏼

agodnamedDYce
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great video. It was like an old one of DataCamp. Hey keith. I would like to ask something. Do you have a video where you teach how handle massive big datas ? I fails my interview 😞 and I need to see some good videos of this . Over all good practices of using the data through the ETL . There were millions of rows and columns. This had to be extracted from an ETL using sqlalchenist as a requiremen. It is difficult for me to know how to deal with when they are files that are extracted from massive datasets and which must be evaluated and discerned. Fisrt time big queri on fintech field. It was an exercise of extracting information using Sql and then answering questions based on a super giant and heavy data frame (impossible to upload the csv). but I don’t have a clear idea of ​​the order to follow after doing the query. I have the instructions and I got the dataset but I don't know how to approach the exercise

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