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WorldQuantUniversity @worldquantu

We advance global education by delivering entirely free, online programs that expand access to studies and credentials in data sciences.

Joined February 2017
  • Tweets 863
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  • Followers 3,842
18 Photos and videos
“The challenge was real. If you are passionate about math and finance, and considering a MScFE program, I’d say go for it!” Read more about WQU MScFE Graduate Li Yawen in our latest student spotlight. wqu.edu/blog/student-spotlig…

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In this upcoming virtual forum, a panel of experts led by Alex Kafka will discuss the benefits and obstacles of data science’s growing popularity. Join in on December 7 at 2 p.m. ET chronicle.com/events/virtual…

Data Science Unbound

ON DEMAND: Student demand for data science in the liberal arts continues to rise. A panel of experts will explore the trend and the challenges it presents, including issues of faculty shortages and...

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It will be some time before AI replaces human analysts - the tools are there, but without human oversight, they mostly churn out repetitive, formulaic summaries of their existing knowledge. Read more at TechTarget techtarget.com/searchbusines…

Will generative AI replace data analysts? | TechTarget

Data analyst jobs won't be replaced by generative AI because GenAI can't replicate human knowledge or the nuances analysts bring to the table.

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In this delightful conversation between WQU CEO Daphne Kis and author Ben Wildavsky, the two discuss moving away from a one-dimensional view of college, finding the best fit in higher education, and the value of critical thinking as life-long learners. roosevelthouse.hunter.cuny.e…

Mapping the Future of Higher Ed — featuring Ben Wildavsky in conversation with Daphne Kis -...

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The achievements of AI-driven upskilling platforms in 2023 have been monumental, transforming education and tech career preparation. Read more at YourStory yourstory.com/2023/11/how-ai…

How AI-driven upskilling platforms are reshaping tech education

The achievements of AI-driven upskilling platforms in 2023 have been monumental, transforming education and tech career preparation.

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While the world was thrilled by the advent of a user-friendly chatbot that changed how we retrieve and interpret data, scientists developed methods that surpass prediction and delve straight into interpretative ML and AI. Read more about this at Eos eos.org/editors-vox/advancin…

Advancing AI and Machine Learning Beyond Predictive Capabilities - Eos

A new cross-journal special collection invites contributions that unlock the next frontier in hydrology and Earth sciences through artificial intelligence and machine learning.

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Model Deployment can be one of the most exciting parts of working in machine learning, but it can be difficult to know when your model is ready for the real world. Read more about the process at builtin builtin.com/machine-learning…

What Is Model Deployment in Machine Learning? | Built In

Model deployment is the process of integrating a machine learning model into a production environment where it can take in an input and return an output.

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Skills-first hiring practices, diverse ongoing educational opportunities, and pay transparency top this list of ways to create workplaces where employees prosper. Read more at Forbes forbes.com/sites/forbeshuman…

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Join WorldQuant University CEO Daphne Kis and Ben Wildavsky for "Mapping the Future of Higher Ed." The event is on Thursday, November 16th at 6 pm, both in-person and online. RSVP at bit.ly/H-1116
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Between 2020 and 2023, data visualizations, dashboards, and predictive and prescriptive analytics were critical tools for saving lives during the pandemic. Learn more about the growth of real time data at Data Science Journal datascience.codata.org/artic…
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Workers over age 50 will soon represent 25% of our nation’s workforce. Listen to this Work In Progress panel discuss the various ways we can re-imagine an upskilled age-inclusive workforce at Working Nation workingnation.com/dont-under…

Don't underestimate the value of investing in midcareer and older workers

Workers over age 50 will soon represent 25% of our nation’s workforce. Yet, few reskilling and upskilling programs are built to meet the needs of older

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Data science practices will inevitably be altered by furthering ethical AI principles by developing guidelines, best practices and other resources for the industry at large to use. Learn how at Inside Big Data insidebigdata.com/2023/10/24…
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"Data science is best understood as a collection of disciplines." Listen to Jeff Selingo and Michael Horn dive into the realm of data analytics on FutureEd's FutureU podcast future-ed.org/futureu-podcas…

FutureU Podcast Ep. 142: Deep into Data Analytics

Jeff Selingo and Michael Horn dive into the realm of data analytics. They discuss the evolution of data science needs across various industries and how universities are preparing students to meet…

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"AI Exposure" will most certainly lead to a reshuffling of the workforce, with some jobs being replaced by AI and others being transformed by the new AI tools available. Read more at CNBC cnbc.com/2023/10/27/ai-expos…

'AI exposure' is the new buzz term to soften talk about job losses. Here's what it means

AI impact on white-collar work is talked about as AI 'exposure.' Here's what that means.

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You can now talk directly to your data using DataGPT's "AI Analyst." By typing questions in natural language, anyone can get immediate access to key insights and visualizations showing the performance of important metrics. Read more at VentureBeat venturebeat.com/ai/datagpt-l…

DataGPT launches AI analyst to allow 'any company to talk directly to their data'

DataGPT’s lightning cache is 90 times faster than traditional databases. It can run queries 600 times faster than standard BI tools.

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Four-year degrees don't always translate into useful job skills. Companies today are feeling the skills gap more than ever and are adjusting hiring practices to ensure they're not missing out on valuable job-seekers. Read more at HBR hbr.org/2023/03/the-new-coll…

The New-Collar Workforce

Many workers today are stuck in low-paying jobs, unable to advance simply because they don’t have a bachelor’s degree. At the same time, many companies are desperate for workers and not meeting the...

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We know that edge computing offers some powerful benefits, but could it also help reduce data center footprints worldwide? Read more at Venture Beat venturebeat.com/data-infrast…

How moving AI to the edge can help solve the data center energy crisis

Clearly, putting AI on the edge is a beneficial path forward for enterprises looking to lower their power bills and environmental impacts.

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Remember that old movie Pushing Tin? Data is now helping to manage air traffic and reduce the environmental impact of aviation. Read more at datasciencecentral datasciencecentral.com/the-d…
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The complications in data science projects are often communications-based instead of data-based. Explore some of the ways that teams involved can stay on the same page, and that the results of the project are understood by everyone. Read more at Builtin builtin.com/data-science/lea…

7 Things You Should When Managing a Data Science Project | Built In

Working between data science and management can be tricky. In this excerpt from Anat Rapoport's book, Woman Up!, you’ll learn how to lead a data science project successfully.

builtin.com
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Bill Schmarzo, a 40 year veteran of data analytics, explores how CEOs can become AI Leaders and help adapt their workers to the changes AI is bringing to the world. Read more at DataScienceCentral datasciencecentral.com/11-qu…
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