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Big Data Skill sets that Software Developers will Need in 2020

Smart Data Collective

From the tech industry to retail and finance, big data is encompassing the world as we know it. More organizations rely on big data to help with decision making and to analyze and explore future trends. Big Data Skillsets. Gartner estimates a retail IT spend forecast of $210.9 billion by next year with $11.7

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How to Leverage ChatGPT as a Business Analyst in the Data Analytics Domain

Business Analysis Knowledge Share

This extensive guide will explore how ChatGPT can be effectively employed by Business Analysts in the realm of data analytics, with real-world examples to illustrate its capabilities. ChatGPT is an artificial intelligence model renowned for its natural language processing capabilities. Understanding ChatGPT What is ChatGPT?

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A Complete Guide to Data Analytics

Astera

The process involves examining extensive data sets to uncover hidden patterns, correlations, and other insights. With today’s technology, data analytics can go beyond traditional analysis, incorporating artificial intelligence (AI) and machine learning (ML) algorithms that help process information faster than manual methods.

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

Data Pine

Internal comms: Computer vision technology can serve to improve internal communication by empowering employees to perform their tasks more visually, sharing image-based information that is often more digestible and engaging than text-based reports or information alone. Artificial Intelligence (AI). Connected Retail.

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Fundamentals of Data Analytics

The BAWorld

A retailer, for example, can examine sales data, customer feedback, and marketing campaign data to determine why sales fell in a specific month. Microsoft Excel: Description : A ubiquitous spreadsheet tool with robust data analysis capabilities. Key Features: Seamless integration with various data sources.

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Data Science vs Data Analytics: Key Differences

Astera

On the other hand, Data Science is a broader field that includes data analytics and other techniques like machine learning, artificial intelligence (AI), and deep learning. It focuses on answering predefined questions and analyzing historical data to inform decision-making. Big Data Platforms: Hadoop, Spark.

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Plant Seeds for Future Growth: What to Expect at TIBCO Analytics Forum 2021

TIBCO

At this two-day virtual event, you’ll hear all about the latest innovations and developments currently shaping the future of analytics and how industry leaders are applying these solutions to overcome today’s most pressing data challenges. The Future of Analytics: Learn about the opportunities provided by the changing face of analytics.