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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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Top 50+ Data Analyst Interview Questions & Answers

Pickl AI

Top 50+ Interview Questions for Data Analysts Technical Questions SQL Queries What is SQL, and why is it necessary for data analysis? SQL stands for Structured Query Language, essential for querying and manipulating data stored in relational databases. A bar chart represents categorical data with rectangular bars.

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Leveraging user-generated social media content with text-mining examples

IBM Journey to AI blog

As it pertains to social media data, text mining algorithms (and by extension, text analysis) allow businesses to extract, analyze and interpret linguistic data from comments, posts, customer reviews and other text on social media platforms and leverage those data sources to improve products, services and processes.

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ChatBI: A Comprehensive and Efficient Technology for Solving the Natural Language to Business Intelligence NL2BI Task

Marktechpost

As thousands of organizations leverage Business Intelligence (BI) for decision support, industry researchers have honed in on NL2BI, a scenario where natural language is transformed into BI queries. Moreover, differences in data table structures between BI and traditional SQL contexts further complicate the translation process.

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Everything You Need to know about Data Manipulation

Pickl AI

We are living in a world where data drives decisions. Also, it is making transformative changes across the business nations. Data manipulation in Data Science is the fundamental process in data analysis. Let’s explore some common types of data manipulation: 1.

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A brief history of Data Engineering: From IDS to Real-Time streaming

Artificial Corner

This period also saw the development of the first data warehouses, large storage repositories that held data from different sources in a consistent format. The concept of data warehousing was introduced by Bill Inmon, often referred to as the “father of data warehousing.”

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[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

In the final stage, the results are communicated to the business in a visually appealing manner. This is where the skill of data visualization, reporting, and different business intelligence tools come into the picture. What is the difference between data analytics and data science?