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Meet the Fellow: Aahlad Puli

NYU Center for Data Science

This entry is a part of our Meet the Fellow blog series, which introduces and highlights Faculty Fellows who have recently joined CDS. Puli recently finished his PhD in Computer Science at NYU’s Courant Institute, advised by CDS Assistant Professor of Computer Science and Data Science Rajesh Ranganath.

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A Guide to Choose the Best Data Science Bootcamp

Data Science Dojo

In this blog, we will explore the arena of data science bootcamps and lay down a guide for you to choose the best data science bootcamp. What do Data Science Bootcamps Offer? Statistics : Fundamental statistical concepts and methods, including hypothesis testing, probability, and descriptive statistics.

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Roadmap to Become a Data Scientist: Do’s and Don’ts

Pickl AI

Key Takeaways: Data Science is a multidisciplinary field bridging statistics, mathematics, and computer science to extract insights from data. Understanding Data Science: Bridging the Gap Between Data and Insight It is the art of extracting meaningful insights from complex data sets. Practical experience is crucial.

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The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

Skills and Tools of Data Scientists To excel in the field of Data Science, professionals need a diverse skill set, including: Programming Languages: Python, R, SQL, etc. Statistical Analysis: Hypothesis testing, probability, regression analysis, etc. in fields like Computer Science, Statistics, or related disciplines.

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AI-powered assistants for investment research with multi-modal data: An application of Agents for Amazon Bedrock

AWS Machine Learning Blog

This blog is part of the series, Generative AI and AI/ML in Capital Markets and Financial Services. Through thorough research, analysts come up with a hypothesis, test the hypothesis with data, and understand the effect before portfolio managers make decisions on investments as well as mitigate risks associated with their investments.

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Data Science Course Eligibility: Your Gateway to a Lucrative Career

Pickl AI

It’s no surprise, then, that Data Science courses are in high demand. But before you embark on this exciting journey, understanding Data Science course eligibility is crucial. Calculus helps you optimize algorithms and models, while probability theory forms the bedrock of statistical analysis in Data Science.

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How to become a Statistician without a Degree?

Pickl AI

Her experience and knowledge in the field needs to be known and this blog, will help you to understand how to become a Statistician. Statistical Analysis: Apply statistical techniques to analyse data, including descriptive statistics, hypothesis testing, regression analysis, and machine learning algorithms.