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How To Learn Python For Data Science?

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Its flexibility allows you to produce high-quality graphs and charts, making it perfect for exploratory Data Analysis. Use cases for Matplotlib include creating line plots, histograms, scatter plots, and bar charts to represent data insights visually. It offers simple and efficient tools for data mining and Data Analysis.

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All You Need to Know about Transitioning your Career to Data Science from Computer Science

Pickl AI

Dealing with large datasets: With the exponential growth of data in various industries, the ability to handle and extract insights from large datasets has become crucial. Data science equips you with the tools and techniques to manage big data, perform exploratory data analysis, and extract meaningful information from complex datasets.

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Top 50+ Data Analyst Interview Questions & Answers

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I would perform exploratory data analysis to understand the distribution of customer transactions and identify potential segments. Then, I would use clustering techniques such as k-means or hierarchical clustering to group customers based on similarities in their purchasing behaviour. What approach would you take?