STOP Using Kaggle for Data Analytics Projects - Do THIS Instead!
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Most data projects rely on Kaggle data, but ironically, creating synthetic data can actually help you stand out and show advanced skills.
In this video, I explain why using Kaggle data for projects makes it hard to stand out in data analytics job market and show you how to create synthetic data with Python to showcase advanced skills and make your portfolio unique.
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🔎 CONTENT
0:00 Introduction to Data Analytics Projects and Kaggle
1:42 Creating Synthetic Data for Data Analytics Projects
3:59 Setting Up Google Colab and Installing Packages
5:49 Defining the Function to Create Synthetic Marketing Data
9:31 Generating Synthetic Data Rows Using Loops
14:47 Advanced Logic for Creating Churn Status Column
16:33 Storing Generated Data into DataFrame
19:31 Reviewing and Running the Synthetic Data Code
20:24 Summary and Final Thoughts on Synthetic Data Creation
#SyntheticData #DataAnalyticsProject #PythonForData