12 Questions
What statistical method did the author discover online to improve their project?
Differences-in-Differences (DID) method
What was the limitation of the statistical models the author possessed?
They were not adaptable to real-world data
Why is the author pursuing a graduate degree?
To further their education and explore more advanced data science techniques
What was the outcome of applying the DID method to the project?
It provided more accurate results
What did the project make the author realize?
The limitations of their statistical models in real-world applications
What did the author's undergraduate studies cover?
Multiple regression and time series analysis
What was the primary focus of the author's undergraduate studies?
Statistics and Mathematics
What type of analysis did the author and their classmates apply to uncover correlations in their undergraduate project?
Multivariate Regression and Principal Component Analysis
What was the author's role in the WITMED company after graduating from Rutgers University?
Clinical Data Collection Administrator
What was the primary goal of the author's project in the WITMED company?
To assess the impact of artificial intelligence on diagnostic imaging
What did the author attribute the discrepancy in their undergraduate project's conclusions to?
Challenges inherent in data collection processes
What was the topic of the author's undergraduate project that involved collaborating with classmates?
Investigating the relationship between COVID infection statistics and demographic data
Learn about the academic background and skills in statistics and mathematics required for a Master's degree in Data Science. Understand the importance of probability theory, multivariate regression, and numerical analysis. Discover how a strong foundation in math and statistics can help in a data science career.
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