Dataversity

DECEMBER 30, 2020

When Gartner talks about expanding data analytics to business users, they also talk about how the analytical tools must be suitable for business users. If a business wants to implement a citizen data scientist initiative and encourage their business users to become more productive and valuable within the […].

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The Data Administration Newsletter

MARCH 20, 2024

If you are an IT professional, a business manager, or an executive, you have probably been following the progress of the citizen data scientist movement. In fact, in 2017, Gartner predicted that 40% of data science […]

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Dataversity

APRIL 28, 2023

As a team member within a business environment, you may be familiar with the term “citizen data scientist.” appeared first on DATAVERSITY.

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Dataversity

DECEMBER 27, 2022

As businesses plan for data democratization, it is essential to include a strategy to ensure that business users will accept augmented analytics solutions and adapt to the new citizen data scientist role. The post Business Use Cases Create Momentum for Citizen Data Scientists appeared first on DATAVERSITY.

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Dataconomy

MARCH 5, 2025

As the demand for data expertise continues to grow, understanding the multifaceted role of a data scientist becomes increasingly relevant. What is a data scientist? A data scientist integrates data science techniques with analytical rigor to derive insights that drive action.

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Dataversity

DECEMBER 5, 2022

As a business owner, executive, or manager, you are likely aware of the term “citizen data scientists.” While business journals and industry and technology publications discuss the advantages of the citizen data scientist approach, many businesses fail to get the most out of […].

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The Data Administration Newsletter

OCTOBER 2, 2024

According to some estimates, the average salary of a data scientist in the United States is over $150,000 per year.

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DataRobot

APRIL 6, 2020

Perhaps you’re a data scientist who’s looking for ideas about how to get started with advanced time series forecasting , information about our expanded support for deep learning , or maybe just some ideas on how you can automate some of the data science tasks you dread.

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Pickl AI

DECEMBER 4, 2024

Summary: The future of Data Science is shaped by emerging trends such as advanced AI and Machine Learning, augmented analytics, and automated processes. As industries increasingly rely on data-driven insights, ethical considerations regarding data privacy and bias mitigation will become paramount.

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Dataversity

JANUARY 15, 2021

The profile of data analytics has never been higher. Data scientists are playing a critical role, advising decision-makers as […]. Data scientists are playing a critical role, advising decision-makers as […]. Click to learn more about author Sam Mahalingam.

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DataRobot

FEBRUARY 22, 2021

DataRobot is excited to announce the graduation of the first class of our 10X Applied Data Science Academy. The founding of the 10X Academy is part of DataRobot’s commitment to developing automation that improves the productivity of data scientists while democratizing access to AI for non-data scientists.

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Data Science Data Scientist Citizen Data Scientist Data Analyst 52

ODSC - Open Data Science

SEPTEMBER 20, 2023

Using Graphs for Feature Engineering, Prompt Fine-Tuning for Generative AI, and Confident Data Science GraphReduce: Using Graphs for Feature Engineering Abstractions This tutorial demonstrates an example feature engineering process on an e-commerce schema and how GraphReduce deals with the complexity of feature engineering on the relational schema.

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ODSC - Open Data Science

JUNE 2, 2023

Augmented Analytics — Where Do You Fit in at the Intersection of Analytics and Business Intelligence? Data visualization is a critical way for anyone to turn endless rows of data into easy-to-understand results through dynamic and understandable visuals.

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DataRobot

APRIL 27, 2021

Not only can the most experienced data scientist improve the way to get models into production but also the role of citizen data scientist can leverage the best practices and approaches in data science with DataRobot. Analytics and RPA: Suspicious cases are generated and prioritized.

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Dataversity

JANUARY 21, 2022

Will “citizen data analysts” become the most important people […]. The post Four Data Analytics Trends to Watch appeared first on DATAVERSITY. Will technology fix the global supply chain crisis?

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Dataversity

APRIL 27, 2022

The post Self-Serve Advanced Analytics Requires Culture Change appeared first on DATAVERSITY. That feeling of being overstretched is typical of growing businesses and, in an increasingly competitive market with businesses fighting for skilled resources, it is difficult to meet budget […].

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Analytics Analytics Citizen Data Scientist Data Scientist 52

ODSC - Open Data Science

JUNE 1, 2023

Whether you’re a seasoned data scientist, engineer, or just getting your feet wet in the data science field, let’s take a look at how coding assistants can help data process regardless of their skill level. Augmented Analytics — Where Do You Fit in at the Intersection of Analytics and Business Intelligence?

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DataRobot

SEPTEMBER 2, 2021

When I first worked in the MLB in the 80’s, there were only a handful of data scientists employed. Now, fast forward to the present day where not only are there college degrees in sports analytics, but they have even become popular.

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Mlearning.ai

MAY 3, 2023

ML/AI Enthusiasts, and Learners Citizen Data Scientists who prefer a low code solution for quick testing. Experienced Data Scientists who want to try out different use-cases as per their business context for quick prototyping. I have worked on several key strategic & data-monetization initiatives in the past.

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Python Natural Language Processing Data Scientist Citizen Data Scientist 52

ODSC - Open Data Science

SEPTEMBER 28, 2023

Discover how aspiring citizen data scientists, business analysts, data analysts, students, and data scientists can get hands-on and experiment with and work on tech development.

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Alation

JANUARY 17, 2023

This shift addresses a growing demand for data access, which the modern data stack enables with cloud-based services and integration. There has also been a paradigm shift toward agile analytics and flexible options, where data assets can be moved around more quickly and easily, and not locked into a single vendor.

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AWS Machine Learning Blog

NOVEMBER 27, 2023

In Part 1 and Part 2 , we show how the Salesforce Data Cloud and Einstein Studio integration with SageMaker allows businesses to access their Salesforce data securely using SageMaker and use its tools to build, train, and deploy models to endpoints hosted on SageMaker.

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The Data Administration Newsletter

DECEMBER 18, 2024

When a business decides to undertake a data democratization initiative, improve data literacy, and create a role for citizen data scientists, the management team often assumes that business users will be eager to participate, and that assumption can cause these initiatives to fail.

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