Remove ETL Remove Exploratory Data Analysis Remove Hypothesis Testing
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The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

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Top 50+ Data Analyst Interview Questions & Answers

Pickl AI

I conducted thorough data validation, collaborated with stakeholders to identify the root cause, and implemented corrective measures to ensure data integrity. I would perform exploratory data analysis to understand the distribution of customer transactions and identify potential segments.

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Building ML Platform in Retail and eCommerce

The MLOps Blog

In this section, I will talk about best practices around building the Data Processing platform. The objective of this platform is to preprocess, prepare and transform the data so that it’s ready for model training. are present in the data. The time depends on the number of users participating in the experiments.

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