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What are machine learning and data science in the context of business analytics?

Analysts Corner

Data scientists use a variety of techniques and tools to collect, analyze, and interpret data, and communicate their findings to stakeholders. Data science involves several steps, including data collection, data cleaning, data exploration, data modeling, and data visualization.

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Data Science vs Data Analytics: Key Differences

Astera

Data science covers the complete data lifecycle: from collection and cleaning to analysis and visualization. Data scientists use various tools and methods, such as machine learning, predictive modeling, and deep learning, to reveal concealed patterns and make predictions based on data.

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Self-Service Analytics for Google Cloud, now with Looker and Tableau

Tableau

With Tableau, any user can visually explore that data in real time. With no need to move data to in-memory storage, you can connect to and analyze data wherever it lives, taking full advantage of Google Cloud’s computing capacity—and providing an end-to-end analytics solution.

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The Future of AI in Data Warehousing: Trends and Predictions 

Astera

By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations. For instance, Coca-Cola uses AI-powered ETL tools to automate data integration tasks across its global supply chain to optimize procurement and sourcing processes.

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Self-Service Analytics for Google Cloud, now with Looker and Tableau

Tableau

With Tableau, any user can visually explore that data in real time. With no need to move data to in-memory storage, you can connect to and analyze data wherever it lives, taking full advantage of Google Cloud’s computing capacity—and providing an end-to-end analytics solution.

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New COVID-19 Global Tracker measures progress toward recovery

Tableau

Today, on the Tableau COVID-19 Data Hub , we launch a new Global Tracker that combines and visualizes the key metrics that measure our return to normalcy. Tableau launched the COVID-19 Data Hub on March 9, 2020 to help people answer these questions, and more. Jeremy Blaney. Director, Tableau. Kristin Adderson. March 3, 2021.

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Must-Have AI Features for Your App

Sisense

Whether it’s core to the product, as with a stock market forecasting algorithm in Quants, or a peripheral component, such as a healthcare domain chatbot that diagnoses diseases via dialog with a patient, building reliable AI components into products is now part of the learning curve that product teams have to manage. .