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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

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[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

Once the data is acquired, it is maintained by performing data cleaning, data warehousing, data staging, and data architecture. Data processing does the task of exploring the data, mining it, and analyzing it which can be finally used to generate the summary of the insights extracted from the data.

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Ever Wondered How Similar patterns are identified?

Mlearning.ai

Originally used in Data Mining, clustering can also serve as a crucial preprocessing step in various Machine Learning algorithms. The optimal value for K can be found using ideas like Cross Validation (CV). How would we tackle this challenge? K = 3 ; 3 Clusters. K = No of clusters.