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

Pickl AI

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Role of Data Scientists Data Scientists are the architects of data analysis.

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Introduction to R Programming For Data Science

Pickl AI

R’s data manipulation capabilities make cleaning and preprocessing data easy before further analysis. ยท Statistical Analysis: R has a rich ecosystem of packages for statistical analysis. R’s workflow support enhances productivity and collaboration among data scientists.

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Building ML Platform in Retail and eCommerce

The MLOps Blog

So, a better database architecture would be to maintain multiple tables where one of the tables maintains the past 3 months history with session-level details, whereas other tables may contain weekly aggregated click, ATC, and order data. Keeping track of which data was used to run an experiment sometimes becomes painful for a Data Scientist.

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