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Data science vs data analytics: Unpacking the differences

IBM Journey to AI blog

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Innovative machine learning uses transforming business applications

AI News

Machine learning (ML) is revolutionising the way businesses operate, driving innovation, and unlocking new possibilities across industries. By leveraging vast amounts of data and powerful algorithms, ML enables companies to automate processes, make accurate predictions, and uncover hidden patterns to optimise performance.

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11 Open Source Data Exploration Tools You Need to Know in 2023

ODSC - Open Data Science

Apache Superset remains popular thanks to how well it gives you control over your data. Algorithm-visualizer GitHub | Website Algorithm Visualizer is an interactive online platform that visualizes algorithms from code. You can even connect directly to 20+ data sources to work with data within minutes.

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Understanding the Synergy Between Artificial Intelligence & Data Science

Pickl AI

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. This article explores how AI and Data Science complement each other, highlighting their combined impact and potential.

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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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Must Know Differences Between Data Science and Data Analytics

Pickl AI

Summary: The difference between Data Science and Data Analytics lies in their approachData Science uses AI and Machine Learning for predictions, while Data Analytics focuses on analysing past trends. Data Science requires advanced coding, whereas Data Analytics relies on statistical methods.

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Top AI Tools for Data Analysts 2023

Marktechpost

Microsoft Power BI Microsoft Power BI, a powerful business intelligence platform that lets users filter through data and visualize it for insights, is another top AI tool for data analysis. Users may import data from practically anywhere into the platform and immediately create reports and dashboards.

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