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Data Scientist Job Description – What Companies Look For in 2025

Pickl AI

Visualization and Reporting: Creating dashboards and reports using tools like Tableau or Power BI to communicate insights effectively to non-technical stakeholders, including management and clients. Data Visualization: Ability to create intuitive visualizations using Matplotlib, Seaborn, Tableau, or Power BI to convey insights clearly.

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Your Complete Roadmap to Become an Azure Data Scientist

Pickl AI

Summary: This blog provides a comprehensive roadmap for aspiring Azure Data Scientists, outlining the essential skills, certifications, and steps to build a successful career in Data Science using Microsoft Azure. This roadmap aims to guide aspiring Azure Data Scientists through the essential steps to build a successful career.

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Business Analytics vs Data Science: Which One Is Right for You?

Pickl AI

Dashboards, such as those built using Tableau or Power BI , provide real-time visualizations that help track key performance indicators (KPIs). Data Science is an interdisciplinary field that focuses on extracting knowledge and insights from structured and unstructured data. Data Scientists require a robust technical foundation.

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A Guide to Choose the Best Data Science Bootcamp

Data Science Dojo

Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught. Cloud Computing : Utilizing cloud services for data storage and processing, often covering platforms such as AWS, Azure, and Google Cloud. R : Often used for statistical analysis and data visualization.

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Bioinformatics Scientists: A Comprehensive Guide

Pickl AI

Summary: Bioinformatics Scientists apply computational methods to biological data, using tools like sequence analysis, gene expression analysis, and protein structure prediction to drive biological innovation and improve healthcare outcomes. As the field continues to grow, the demand for skilled Bioinformatics Scientists is increasing.

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

Pickl AI

Cloud Platforms: AWS, Azure, Google Cloud, etc. Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc. in fields like Computer Science, Statistics, or related disciplines. ETL Tools: Apache NiFi, Talend, etc. Data Modeling: Entity-Relationship (ER) diagrams, data normalization, etc.

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What Does the Modern Data Scientist Look Like? Insights from 30,000 Job Descriptions

ODSC - Open Data Science

Just as a writer needs to know core skills like sentence structure and grammar, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and soon. Theyre looking for people who know all related skills, and have studied computer science and software engineering.