Remove Apache Hadoop Remove Computer Science Remove Power BI
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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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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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The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

ETL Tools: Apache NiFi, Talend, etc. Big Data Processing: Apache Hadoop, Apache Spark, etc. Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc. in fields like Computer Science, Statistics, or related disciplines. Data Warehousing: Amazon Redshift, Google BigQuery, etc.