ReportWire

Tag: data science

  • Scores of government statisticians are gone, leaving data at risk, report says

    By MIKE SCHNEIDER

    The ranks of U.S. government statisticians have been gutted in the past year due to layoffs and buyouts. That along with diminished funding and attacks on their independence have put at risk the data used to make informed decisions about everything from the nation’s economy to its demographics, according to a new report from outside experts released Wednesday.

    Associated Press

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  • Sound Ethics and UC Irvine Partner to Shape the Future of Ethical AI in the Music Industry


    IRVINE, Calif., February 4, 2025 (Newswire.com)
    –
    Sound Ethics, a leader in ethical AI advocacy and education, is proud to announce its partnership with UC Irvine’s School of Information and Computer Sciences (UCI ICS). This strategic collaboration will focus on ethical AI practices in the music sector and creating responsible AI solutions.

    Labs to Legends: Shaping the Next Generation of Ethical AI Innovators

    This collaboration is part of Sound Ethics’ Labs to Legends program, an initiative dedicated to empowering the next generation of data scientists and creatives to lead with responsibility in the AI-driven music industry. The program bridges academic research with real-world industry needs by providing mentorship, ethically curated datasets, and practices that emphasize transparency, attribution, and compliance. Through Labs to Legends, Sound Ethics equips emerging talent with the tools and knowledge to champion ethical AI practices in their careers.

    Driving Ethical AI Innovation

    The UCI-Sound Ethics partnership aims to drive innovation and ethical considerations in AI’s application to music.

    Key objectives include:

    • Advancing AI Detection Research: The project will focus on groundbreaking research into AI-generated music detection, exploring methods to distinguish between human and AI-created audio to ensure ethical AI usage.

    • Creating Ethical Industry Frameworks: Insights from this project will help Sound Ethics develop its frameworks that promote attribution, transparency, and regulatory compliance, accelerating AI innovations in music.

    • Empowering Future AI Leaders: As part of Sound Ethics’ Labs to Legends program, this partnership offers UCI team members a critical opportunity to apply AI responsibly in creative industries like music, helping to shape the next generation of ethical AI innovators.

    James O’Brien, CEO of Sound Ethics, stated:

    “We believe ethical AI starts with education. We cannot rely on policymakers alone to fix these problems. This partnership allows us to mentor the next generation of AI professionals and build AI frameworks that support both artists and innovation.”

    Prof. Hadar Ziv, Faculty Director of ICS Capstones, UC Irvine

    “We are excited to collaborate with Sound Ethics, providing our students with the opportunity to contribute to the responsible AI landscape in the music industry. Collaborations like this showcase the strength of UCI’s ICS Capstone Projects program, which has become a recognized and highly sought-after initiative. Our teams tackle real-world challenges using cutting-edge tools and technologies, addressing critical issues such as ethics, privacy, and social responsibility.

    “At our 2024 ICS Project Expo, more than 500 attendees explored projects from over 75 student teams, and we anticipate the 2025 ICS Project Expo will be even bigger and better, featuring innovative technical solutions developed through impactful partnerships like this one with Sound Ethics.”

    Prof. Sergio Gago-Masague, Director of CS Capstone Projects, UC Irvine

    “I’m thrilled to see our students tackling critical challenges at the intersection of technology and ethics. This partnership with Sound Ethics offers a unique opportunity for our talented students to apply their skills in addressing real-world issues in the music industry, ensuring that innovation is guided by ethical responsibility. By fostering collaborations like this, we are preparing the next generation of computer scientists to lead with integrity and make meaningful contributions to society.”

    About

    Sound Ethics pioneers ethical AI in music, advocating for transparency, protecting copyrights, and empowering artists. Through partnerships with universities and policymakers, it ensures AI fosters creativity while preventing exploitation. www.soundethics.org

    Ranked among the nation’s top 10 public universities, UC Irvine’s Donald Bren School of Information and Computer Sciences leads in AI, data science, and machine learning, fostering ethical AI through research, innovation, and interdisciplinary collaboration. www.ics.uci.edu

    Source: Sound Ethics, Inc.

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  • Sound Ethics Expands Labs to Legends Program With UC Santa Barbara to Develop Responsible AI


    SANTA BARBARA, Calif., January 22, 2025 (Newswire.com)
    –
    Sound Ethics has announced a dynamic new partnership with the University of California, Santa Barbara (UCSB) Data Science Department, expanding its groundbreaking Labs to Legends initiative to address one of the most critical challenges facing AI today: building responsible AI frameworks that protect creative rights without stifling innovation.

    A Mission With Global Impact: A Professor’s Warning

    This collaboration takes on heightened importance as concerns grow over unchecked data practices in AI development. As Professor Carys Craig, Associate Professor at Osgoode Hall Law School, warned (as reported by PPC Land):

    “The research warns that requiring copyright permissions for AI training could limit competition by creating ‘cost-prohibitive barriers to quality data’ while ensuring ‘only the most powerful players have the means to build the best AI tools.’” – Professor Carys Craig, Osgoode Hall Law School.

    Building Solutions, Not Barriers

    The Labs to Legends project with UCSB is designed to address these concerns directly. The insights gained will directly contribute to Sound Ethics’ development of its Ethical AI Frameworks – a revolutionary set of standards and data benchmarks designed to ensure AI innovation respects the rights of creators while preventing monopolistic control of data resources. This effort aims to balance technological progress with fairness for all creative contributors, directly addressing the concerns voiced by Professor Craig and other industry experts.

    James O’Brien, CEO of Sound Ethics, stated:

    “The collaboration with UC Santa Barbara is more than a research project – it’s a call to action. We believe the next generation of data scientists must incorporate ethical, responsible practices into AI development that doesn’t hinder progress, but accelerates it. We cannot rely on policy.”

    Ethical Innovation Through Labs to Legends

    This expanded partnership builds on the success of Sound Ethics’ Labs to Legends program, a visionary initiative that pairs top data science talent with real-world challenges in creative industries. Together, Sound Ethics and UCSB will mentor students in designing responsible AI solutions that prioritize transparency, proper attribution, and creative rights protection.

    Key objectives of the UCSB partnership include:

    • Advancing AI Detection Research: The project will explore innovative methods to identify AI-generated music and voice data, focusing on distinguishing synthetic from human-created audio to ensure ethical AI use.

    • Music Information Retrieval (MIR) Research: Participants will contribute to cutting-edge MIR research while gaining hands-on experience with audio digital signal processing and feature extraction techniques.

    • Creating Ethical Industry Frameworks: The collaboration will contribute to developing standards for attribution, transparency, and regulatory compliance, guiding responsible AI innovation.

    • Empowering Future AI Leaders: As part of the Labs to Legends program, UCSB students will gain hands-on experience in ethical AI development, equipping them with the skills and principles needed to become future leaders in responsible AI innovation across creative sectors.

    Kathleen Coburn, Ph.D., Lecturer at UC Santa Barbara, remarked:

    “The collaboration with Sound Ethics is an incredible opportunity for our students to apply their knowledge to real-world challenges. This partnership is instrumental in preparing them to be the next leaders in responsible AI development in the creative industries.”

    Fostering Ethical AI Leadership

    Sound Ethics continues its mission to ensure ethical AI practices are embedded in AI development for the music industry. Through partnerships with academic institutions like UCSB, Sound Ethics guarantees that the next generation of AI professionals will be trained with a strong commitment to fairness and transparency.

    About Sound Ethics

    Sound Ethics is at the forefront of ethical AI advocacy in the music industry. The organization works to protect artists’ rights and foster responsible AI development through collaboration with academic institutions, industry partners, and policymakers. Sound Ethics’ mission is to ensure that AI can be a tool for creativity and innovation, rather than exploitation.

    About UC Santa Barbara

    The University of California, Santa Barbara (UCSB) is a top-tier public research university, renowned for its contributions to education, innovation, and interdisciplinary research. UCSB is home to a thriving data science program that focuses on artificial intelligence, machine learning, and data analytics. The university is committed to advancing ethical AI research and training leaders in responsible AI development for sectors such as music, healthcare, and technology.

    Source: Sound Ethics

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  • Data science instruction comes of age

    Data science instruction comes of age

    This is an edition of our Future of Learning newsletter. Sign up today to get it delivered straight to your inbox.

    I’ve been reporting on data science education for two years now, and it’s become clear to me that what’s missing is a national framework for teaching data skills and literacy, similar to the Common Core standards for math or the Next Generation Science Standards.

    Data literacy is increasingly critical for many jobs in science, technology and beyond, and so far schools in 28 states offer some sort of data science course. But those classes vary widely in content and approach, in part because there’s little agreement around what exactly data science education should look like. 

    Last week, there was finally some movement on this front — a group of K-12 educators, students, higher ed officials and industry leaders presented initial findings on what they believe students should know about data by the time they graduate from high school. 

    Data Science 4 Everyone, an initiative based at the University of Chicago, assembled 11 focus groups that met over five months to debate what foundational knowledge on data and artificial intelligence students should acquire not only in dedicated data science classes but also in math, English, science and other subjects. 

    Among the groups’ proposals for what every graduating high schooler should be able to do: 

    • Collect, process and “clean” data
    • Analyze and interpret data, and be able to create visualizations with that data
    • Identify biases in data, and think critically about how the data was generated and how it could be used responsibly 

    On August 15, Data Science 4 Everyone plans to release a draft of its initial recommendations, and will be asking educators, parents and others across the country to vote on those ideas and give other feedback. 

    Here are a few key stories to bring you up to speed:

    Data science under fire: What math do high schoolers really need?

    Earlier this year, I reported on how a California school district created a data science course in 2020, to offer an alternative math course to students who might struggle in traditional junior and senior math courses such as Algebra II, Pre-Calculus and Calculus, or didn’t plan to pursue science or math fields or attend a four-year college. California has been at the center of the debate on how much math, and what math, students need to know before high school graduation. 

    Eliminating advanced math ‘tracks’ often prompts outrage. Some districts buck the trend 

    Hechinger contributor Steven Yoder wrote about how districts that try to ‘detrack’ — or stop sorting students by perceived ability — often face parental pushback. But he identified a handful of districts that have forged ahead successfully with detracking.

    PROOF POINTS: Stanford’s Jo Boaler talks about her new book ‘MATH-ish’ and takes on her critics

    My colleague Jill Barshay spoke with Boaler, the controversial Stanford math education professor who has advocated for data science education, detracking and other strategies to change how math is taught. Jill writes that the academic fight over Boaler’s findings reflects wider weaknesses in education research.

    What’s next: This summer and fall I’m reporting on other math topics, including a program to get more Black and Hispanic students into and through Calculus, and efforts by some states to revise algebra instruction. I’d love to hear your thoughts on these topics and other math ideas you think we should be writing about.  

    More on the Future of Learning

    “How did students pitch themselves to colleges after last year’s affirmative action ruling?,” The Hechinger Report

    “PROOF POINTS: This is your brain. This is your brain on screens,” The Hechinger Report

    “Budget would require districts to post plans to educate kids in emergencies,” EdSource

    “Turmoil surrounds LA’s new AI student chatbot as tech firm furloughs staff just 3 months after launch,” The 74

    “Oklahoma education head discusses why he’s mandating public schools teach the Bible,” PBS

    This story about data science standards was produced by The Hechinger Report, a nonprofit, independent news organization focused on inequality and innovation in education.

    The Hechinger Report provides in-depth, fact-based, unbiased reporting on education that is free to all readers. But that doesn’t mean it’s free to produce. Our work keeps educators and the public informed about pressing issues at schools and on campuses throughout the country. We tell the whole story, even when the details are inconvenient. Help us keep doing that.

    Join us today.

    Javeria Salman

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  • Do data science classes add up?

    Do data science classes add up?

    Editor’s note: This story led off this week’s Future of Learning newsletter, which is delivered free to subscribers’ inboxes every other Wednesday with trends and top stories about education innovation. Subscribe today!

    Last year, I began reporting on the growing interest in teaching young people about data science amid calls that Algebra II and other higher-level math classes are being taught in outdated ways and need to be modernized. Experts were already raising concerns about falling math scores before the pandemic, and those scores nationwide have only continued to worsen.

    There’s no easy answer – math experts, STEM professors, high school educators, parents, advocates and even students have vastly different opinions on what math knowledge and courses should be required for students to succeed in college and careers.

    Nowhere has this been clearer than in California. As I wrote in my latest story, co-published with The Washington Post, the state’s public higher education system has gone back and forth on whether data science (an interdisciplinary field that combines computer programming, math and statistics) and other statistics-based courses fit into existing math pathways and can serve as an alternative to Algebra II in admissions.

    But missing from these debates was the voices of students and educators – those most affected by any decisions made by the state’s public university system. I wanted to see for myself what students were learning in high school data science classes, why they were signing up for the course and how decisions about which math classes to take were being determined.

    In December, I visited Oxnard Union High School District, which launched a data science pathway in 2020. The class targeted students who didn’t plan to major in STEM fields in college, as well as those who planned to attend a community college or go straight into the workforce or military. A “math class for poets” was how the district’s superintendent, Tom McCoy, had jokingly described it.

    From my visits to the district’s high school data science classes and my conversations with teachers and students, two things became clear: The course’s structure is very different than a traditional math class – it’s an applied, project-based learning course in which students collaborate closely as they learn the material. And the way different teachers and schools approach the class differs greatly, even within a single district. Some teachers emphasize data literacy (teaching students how to read and analyze data); others incorporate math concepts from algebra and statistics; and still others may inject more computer programming or coding.

    That variation — both in how the classes are taught and their content – has added to concerns that data science courses are low quality and insufficiently rigorous. And it’s in part why there’s an emerging push to develop standards around the course, and tackle the question of what an effective data science course should look like.

    Much of the concern around data science in California centers around three programs — Introduction to Data Science, Youcubed and CourseKata — that make up the majority of data science courses available there. According to a recent report from University of California committee that sets admissions standards, none of the courses “even come close to meeting the required standard to be a ‘more advanced’ course,” and are more similar to data literacy courses than advanced mathematics. (Oxnard Union uses a different curricula, one developed by ed tech vendor Bootstrap.)  

    Mahmoud Harding is the instructional design director at Data Science 4 Everyone, a national initiative based at the University of Chicago. He co-developed a high school data science program at the North Carolina School of Science and Mathematics and teaches a course  at North Carolina State’s Data Science Academy. He said a high school data science course should help students find more real-world applications for concepts they learn in algebra.

    In addition, the class should build conceptual knowledge of statistical topics through computation, visualizations and simulations, and help students understand bias within data and ethical concerns in using flawed data. Data science courses also need to be substantively different from statistics or computer programing courses, he said, noting that data science is “inherently interdisciplinary.”

    “I don’t think a data science course is the same as an Algebra II course,” Harding said. “But it doesn’t mean that a data science course isn’t rigorous, or it doesn’t mean that you can’t matriculate into higher forms of algebra because you’ve taken data science.”

    Harding’s group, Data Science 4 Everyone, is helping to lead the new effort to develop standards for data science. Zarek Drozda, the group’s executive director, said this year it will convene a working group of experts, K-12 educators, STEM professors, curriculum providers, state and district leaders, students and industry and workforce professionals including those with tech companies, to help create a list of recommendations of baseline data science standards.

    As career opportunities involving AI, computing and data increase, Drozda said it is “critical” that we think about the foundational knowledge students need by the time they graduate from college. The group is engaging people from all sides of the data science debate to look critically at the courses currently offered and identify how to create classes that will better meet the needs of students.

    Drozda said he also hopes the working group will consider how exposure to data science classes can help more students get excited about STEM fields that don’t necessarily require a four-year degree.

    “I think there’s a false perception that we are trying to replace fundamental mathematics,” Drozda said. “In reality, we are trying to modernize, add options and enhance the relevance of mathematics and prove to students that math matters in the 21st century.”

    This story about data science classes was produced by The Hechinger Report, a nonprofit, independent news organization focused on inequality and innovation in education. Sign up for the Hechinger newsletter. 

    The Hechinger Report provides in-depth, fact-based, unbiased reporting on education that is free to all readers. But that doesn’t mean it’s free to produce. Our work keeps educators and the public informed about pressing issues at schools and on campuses throughout the country. We tell the whole story, even when the details are inconvenient. Help us keep doing that.

    Join us today.

    Javeria Salman

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  • 365 Data Science Unlocks All Courses for Free Until Nov. 20

    365 Data Science Unlocks All Courses for Free Until Nov. 20

    The unlimited access initiative is a risk-free way to upskill in data science and AI.


    NEW YORK, November 6, 2023 (Newswire.com)
    –
    365 Data Science—an e-learning provider with a 2-million-strong user base—is offering unlimited 100% free access to its complete range of content and features from Nov. 6 (07:00 PST) to Nov. 20 (07:00 PST). This includes the platform’s entire curriculum, online courses, real data projects, and industry-recognized certificates at no cost.

    During these two weeks, users can access all courses, exercises, projects, exams, and certificates for free, enhancing their skills in data science, data analytics, programming, machine learning, and AI.

    A Long-Standing Tradition: An Initiative with a Mission

    Now an annual tradition, 365 Data Science’s free access campaign—which began during the first COVID-19 lockdown—launches for the third time.

    Ned Krastev, CEO of 365 Data Science, states, “Data science is an ever-evolving field that offers tremendous opportunities for career growth. This initiative embodies 365’s dedication to nurturing a global community of aspiring data innovators and lifelong learners.”

    In 2022, over 152,000 unique users from 200 countries joined the initiative—consuming 9.2M+ minutes of content and earning 38,761 certificates.

    “Every year, we’re overwhelmed by the response from our students. The large amount of engagement is a testament to their dedication to learn and grow, and our mission is to support them every step of the way,” Krastev affirms.

    New Features and Learning Opportunities

    Users can work on real business cases this year to obtain applicable skills. 365 Data Science recently launched its library of practical projects based on real-world data, varying depending on experience levels, project complexities, and required technologies.

    Ned states, “Practice-based learning is the path to skill mastery. Our team has been working to provide students with opportunities to gain applicable skills from the start. We’re excited to see how these projects impact their career journeys.”

    All platform features will be available to users during the free access period.

    While 14 days isn’t enough to master everything for a data and AI career, this initiative provides a risk-free way to develop a broader understanding and lay the foundation for a successful career.

    Join the program and start for free at https://365datascience.com/free-weeks-2023.

    Source: 365 Data Science

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  • CEOs may not realize it, but they already know what to do about A.I.

    CEOs may not realize it, but they already know what to do about A.I.

    A.I. has arrived, and CEOs are asking what to do. The answer might surprise them: Do what you know best.

    It’s a safe bet that various forms of artificial intelligence, from algorithmic decision-support systems to machine learning applications, have already made their way into the front and back offices of most companies. Remarkably, generative A.I. is now demonstrating value in creative and imagination-driven tasks.

    We’ve seen this movie before. The Internet. Mobile. Social media. And now artificial intelligence. With each, the business has been confronted with a new technology that holds both great promise and considerable uncertainty, adopted seemingly overnight by consumers, students, professionals, and businesses.

    CEOs recognize the challenge. If they take a wait-and-see approach or simply clamp down on A.I. use, they risk missing a historic opportunity to supercharge their products, services, and operations. On the other hand, allowing the new technology to proliferate within their companies in uncoordinated, even haphazard, ways can lead not only to duplication and fragmentation, but to something much more serious: irresponsible uses of A.I., including the perpetuation of biases, amplification of misinformation, and inadvertent release of proprietary data.

    What to do? A.I. is evolving so rapidly that there is no definitive playbook. But most of today’s CEOs have learned valuable lessons from prior technology inflection points. We believe they are well-equipped to apply three basic lessons:

    Data governance must become data and A.I. governance

    Governance may sound to some like heavy-handed, top-down oversight. But this is not about choosing either centralization or decentralization. It’s about developing company-wide approaches and standards for critical enablers, from the technology architecture needed to support and scale A.I. workloads to the ways you ensure compliance with both regulation and your company’s core values. Without enterprise consistency, you won’t have a clear line of sight into your A.I. applications, and you can’t enable integration and scaling.

    You don’t have to start from scratch. Most companies have established data governance to ensure compliance with data privacy regulations, such as the EU’s GDPR. Now, data governance must become data and A.I. governance.

    A.I. applications and models throughout the company should be inventoried, mapped, and continuously monitored. Most urgently, enterprise standards for data quality should be defined and implemented, including data lineage and data provenance. This involves where, when, and how the data was collected or synthesized and who has the right to use it. Some A.I. systems may be “black boxes,” but the data sets selected to train and feed them are knowable and manageable–in particular for business applications.

    Employees don’t need to become data scientists–they need to become A.I.-literate

    History teaches us that when a technology becomes ubiquitous, virtually everyone’s job changes. Here’s an example: The first project of the Data & Trust Alliance–a consortium we co-chair that develops data and A.I. practices–targeted what some might consider unlikely parts of our companies, human resources and procurement.

    The Alliance developed algorithmic safety tools–safeguards to detect, mitigate and monitor bias in the algorithmic systems supplied by vendors for employment decisions.

    When the tools were introduced to HR and procurement professionals, they asked for education, not in how to be a data scientist, but how to be A.I.-literate HR and procurement professionals. We shared modules on how to evaluate the data used to train models, what types of bias testing to look for, how to assess model performance, and more.

    The lesson? Yes, we need data scientists and machine learning experts. But it’s time to enhance the data and A.I. literacy of our entire workforce.

    Set the right culture

    Many companies have adopted ethical A.I. principles, but we know that trust is earned by what we do, more than by what we say. We need to be transparent with consumers and employees about when they are interacting with an A.I. system. We need to ensure that our A.I. systems–especially for high-consequence applications–are explainable, remain under human control, and can withstand the highest levels of scrutiny, including the auditing required by new and proposed regulations. In short, we need to evolve our corporate cultures for the era of A.I.

    Another project by the Alliance was to create “new diligence” criteria to assess the value and risk inherent in targeting data–and A.I.-centric companies for investment or acquisition. The Alliance created Data Diligence and AI Diligence, but the greatest need was for Responsible Culture Diligence–ensuring that values, team composition, incentives, feedback loops, and decision rights support the new and unique requirements of A.I.-driven business. 

    CEOs have been here before. For some companies, it took decades and a pandemic to fully realize that “digital transformation” implicated every part of the company and its relationships with all stakeholders. And what were the results of misreading the Internet, mobile, and social? Disrupted business models and loss of competitiveness, as well as unintended consequences for society.

    What will be the result of getting this one wrong? We could miss a once-in-a-generation opportunity to achieve radical breakthroughs, solve intractable problems, delight customers, empower employees, reduce waste and errors, and serve society. Far worse, we risk doing harm to our stakeholders and to future generations.

    A.I. is not solely–indeed, not most importantly–a technology challenge. It is the next driver of enterprise transformation. It’s up to the CEO, board, and the entire C-suite to lead that. And the time to do so is now.

    Kenneth I. Chenault and Samuel J. Palmisano are founders and co-chairs of the Data & Trust Alliance, a not-for-profit organization whose 25 cross-industry members develop and adopt responsible data and AI practices. Members include CVS Health, General Catalyst, GM, Humana, Mastercard, Meta, Nike, Pfizer, the Smithsonian Institution, UPS, and Walmart. Chenault is the chairman and managing director of General Catalyst and the former chairman and CEO of American Express. Palmisano is the former chairman and CEO of IBM.

    The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of Fortune.

    More must-read commentary published by Fortune:

    Kenneth I. Chenault, Samuel J. Palmisano

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  • Entrepreneur | This Versatile Training Bundle Is Just $24.99 for Presidents’ Day

    Entrepreneur | This Versatile Training Bundle Is Just $24.99 for Presidents’ Day

    Disclosure: Our goal is to feature products and services that we think you’ll find interesting and useful. If you purchase them, Entrepreneur may get a small share of the revenue from the sale from our commerce partners.

    Presidents’ Day might mean a long weekend, depending on your job or school, and it also means savings. If you’re one of many Americans looking for work this year, or if you’re looking to improve your current skill set, it’s worth looking into modern trends and key players like Microsoft. That being said, there is a lot of inherent value in a cumulative e-learning experience like The Complete Excel, VBA, and Data Science Certification Training Bundle.

    On sale for well below its MSRP, this collection of educational courses will be price-dropped even further and made available for just $24.99 from February 17 through the 20 at 11:59 p.m. Pacific. You can get 13 courses and over 52 hours of content on Excel, web automation, Python, and more for this affordable rate.

    Among the most well-reviewed courses available in this bundle, Introduction to Excel features six hours of content on the basic functions of Excel and how this iconic program is used for bigger tools. This and other courses are taught by Mammoth Interactive, which produces games and e-learning experiences under the direction of John Bura—a top-rated instructor. Mammoth has an average 4.2/5-star instructor rating.

    Another great course in this bundle is Data Science with Stocks, Excel, and Machine Learning. Combining several subjects into one, this in-depth learning experience will teach you the basics of machine learning concepts, introductory Python content, and how to project and track stocks in Excel.

    This bundle is rated an average of 4.5/5 stars by verified purchasers. While its 13 courses are cumulatively valued at $2,600, the bundle is on sale during this Presidents’ Day event. From February 17th – 20th, The Complete Excel, VBA, and Data Science Certification Training Bundle is just $24.99.

    Prices subject to change.

    Entrepreneur Store

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  • Mosaic Data Science Combats Climate Change & Accelerates ESG Efforts With Custom Artificial Intelligence & Machine Learning Solutions

    Mosaic Data Science Combats Climate Change & Accelerates ESG Efforts With Custom Artificial Intelligence & Machine Learning Solutions

    Mosaic Recently Contributed AI/ML Services to a Custom Application that Alerts on Carbon Emissions and Recommends Renewable Energy Portfolios. The company is also working with a leading risk management software firm to accelerate corporate ESG adoption.

    Press Release
    –

    Jan 9, 2023 13:15 EST


    LEESBURG, Va., January 9, 2023 (Newswire.com)
    –
    Mosaic Data Science contributed machine learning algorithm development & deployment services to help a leading power firm automate the process of quantifying the switch to renewable energy portfolios from traditional energy sources while exploring the costs and tradeoffs of said offerings for their business-to-business customers. The solution is designed for enterprises that require power to a diverse set of business functions, such as industrial warehouses, production plants, and related physical infrastructure. 

    The application relies on a highly scalable, custom mathematical optimization algorithm to select the products to eliminate or offset the emissions required to reach the GHG targets. Mosaic’s data scientists collaborated with key stakeholders to lay out requirements for an interactive dashboard and the algorithms driving the portfolio recommendations. 

    In the past, this had been a manual, error-prone, and time-consuming effort as sales personnel had to piece together a portfolio to cover energy usage across tens of thousands of service locations for a customer over a multi-decade window. Automating the process is a massive win for the energy company and its customers.

    As the world becomes increasingly exposed to climate change impacts, more companies have stepped up their efforts to provide environmental, social, and governance reports (ESG) with emissions reduction goals. The project is just one example of the many use cases of data science techniques in solving carbon footprint reduction problems and combating climate change, contributing to a healthier future for our planet.

    Mosaic also works with a leading risk management software company to accelerate ESG adoption among global corporations. Mosaic is designing ML-based solutions to help corporations make more sustainable decisions. 

    According to Gartner, artificial intelligence was named one of the top technologies by CEOs to help accelerate sustainable business progress and could help deliver nearly one-third of the carbon emission reductions required by 2030. 

    “Mosaic’s artificial intelligence and machine learning skills can help the organizations focus on sustainable processes & practices,” said Drew Clancy, VP of Marketing and Sales. “Too often people generalize AI as trying to sell you more products, but this technology should play a critical role in increasing our resilience to the effects of climate change by helping us identify risk factors and develop plans to mitigate them.”

    Companies that put AI at their core are far more likely to contribute positively to climate resilience, adaptation, and mitigation efforts than those that do not. Mosaic continues to be a champion of sustainability in its business practices. 

    About Mosaic Data Science

    Mosaic Data Science is a leading AI/ML services company focused on helping organizations build and deploy custom solutions. The company makes complex artificial intelligence and machine learning solutions actionable, explainable, and usable to any organization.

    Source: Mosaic Data Science

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  • 365 Data Science Courses Free Until November 21

    365 Data Science Courses Free Until November 21

    The unlimited access initiative presents a risk-free way to break into data science.

    Press Release
    –

    Nov 1, 2022 16:00 EET


    NEW YORK, November 1, 2022 (Newswire.com)
    –
    The online educational platform 365 Data Science launches the #21DaysFREE campaign and provides 100% free unlimited access to all content for three weeks. From November 1 to 21, you can take courses from renowned instructors and earn industry-recognized certificates.

    About the Platform

    365 Data Science has helped over 2 million students worldwide to learn data science and analytics and expand their job prospects.

    The program offers an all-encompassing framework that caters to the needs of beginner and advanced data science professionals. They learn by doing with a myriad of exercises and real-world examples. Moreover, 365’s new gamified platform makes the learning journey engaging and motivating.

    “Starting a career in data science requires devotion and determination. Our mission is to give everyone a chance to get familiar with the field and help them succeed professionally,” says Ned Krastev, CEO of 365 Data Science.

    365’s learning platform provides the opportunity to get familiar with the industry through courses like Introduction to Data and Data Science, Data Strategy, and Product Management for Data Science.

    #21DaysFREE Campaign

    From November 1 to 21, 365 Data Science unlocks all 195 hours of video lessons, 610+ practical exercises, career tracks, certificate exams, resume builder, and more.

    The #21DaysFREE initiative provides a great opportunity to lay the foundations of a successful data science career and improve your machine learning skills with a myriad of applicable examples and practical exercises.

    This isn’t 365’s first free initiative. The idea of providing unlimited access to all courses was born during the 2020 COVID-19 lockdowns.

    “We felt it was the right time to open our platform,” adds Ned. “We tried to help people who had lost their jobs or wanted to switch careers to make a transition into data science.”

    This drove unprecedented levels of engagement, which inspired the 365 team to turn it into a yearly endeavor. Their 2021 campaign, in just one month, generated 80,000 new students (aspiring data scientists and analytics specialists) from 200 countries, who viewed 7.5 million minutes of educational content and earned 35,000 certificates.

    While 21 days is not enough to become a fully-fledged professional, the unlimited access initiative provides a risk-free way to familiarize yourself with the industry and lay the foundations of a successful career.

    Join the program and start for free at https://365datascience.com/free-days-2022

    Source: 365 Data Science

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  • Ardent Awarded Competitive Three-Year $3.69M CBP Task Order

    Ardent Awarded Competitive Three-Year $3.69M CBP Task Order

    Press Release
    –

    Oct 19, 2022


    ARLINGTON, Va., October 19, 2022 (Newswire.com)
    –
    Ardent Management Consulting, Inc. (Ardent), a trusted provider of digital transformation, data science and analytics, and location intelligence, announced its award of a competitive task order in support of the US Border Patrol’s (USBP) Advanced Analytics Branch at DHS Customs and Border Protection (CBP).

    Ardent expands its portfolio of work with CBP under this new three-year contract, supporting the Advanced Analytics Branch of the Strategic Planning and Analysis Directorate with geospatial, temporal, and geostatistical analysis. Through the building and enhancing of analytic tools, Ardent will enable USBP to use and access data to create greater situational awareness of the environments where Agents and stakeholders within the CBP operate. Ardent also will provide user training and technical support to the Border Patrol for geospatial tools and capabilities at USBP HQ and in the field.

    “Ensuring the safety and security of our border is a critical national security and humanitarian issue. Enabling better data and data-driven decision-making through technology is at the core of what we do. Ardent thrives in helping DHS and our government customers resolve their most complex and challenging problems,” said Josh Rubin, Ardent’s Chief Growth Officer.

    “Our team takes pride in being selected by CBP as a partner supporting informed decisions on trends in border security and identifying risks along the borders that make our country safer.”

    About Ardent

    A digital transformation, location intelligence, and data analytics firm, Ardent brings a significant history of innovative proven best practices “at the speed of the mission” to Federal Civilian agencies, DHS mission components, State and Local entities, and the commercial and non-profit sectors. Ardent Management Consulting is certified to 9001:2015, its Development Projects are CMMI-Dev V2.0 Maturity Level 3 rated and its management systems (ISMS/ITSMS) are certified to IS0 27001:2013, and ISO 20000-1:2018 standards by SRI Quality System Registrar. For more information, visit www.ardentmc.com or reach out to Emily Morgan (emily.morgan@ardentmc.com).

    Source: Ardent

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  • The ‘data divide’ is a new form of injustice. Ending it could help us meet humanity’s greatest challenges

    The ‘data divide’ is a new form of injustice. Ending it could help us meet humanity’s greatest challenges

    Just as the digital divide kept millions of people from accessing the advantages of the Internet a generation ago, there is a new “data divide” separating the haves from the have-nots.

    The “haves” include people, companies, and organizations who have plenty of fresh data and have the technology and skills to use it to grow and thrive, while the “have-nots” are those who are operating with limited or no indication of what is effective and whose economic growth or social advancement is stunted as a result.

    Businesses need to prioritize investment in data not just to drive revenue, but also to close the data divide–an essential step to solve social and environmental issues and boost the overall health of our society and economy.

    Defining the divide

    The data divide is about more than just access to data–it’s the growing disparity between the expanding use of data to create commercial value and the comparatively weak use of data to solve social and environmental challenges.

    This is a clear and present problem. According to IDC, the spending on big data and analytics solutions exceeded $215 billion in 2021, with a third of that spending coming from just three sectors: banking, discrete manufacturing, and professional services. More than half of the spending came from just one country: the U.S.

    Meanwhile, nonprofits lack access to data, technology, and skills. For instance, according to IBM, 67% of nonprofits lack expertise in the use of data analytics for their work.

    In the public sector, some government agencies, like the Department of Homeland Security and the U.S. Census Bureau, have implemented strong data strategies to drive greater impact. But most government organizations worldwide are facing enormous challenges in leveraging their data to deliver services effectively and efficiently. Major problems that could benefit from data analysis–such as climate change, health equity, and quality education–may not get the attention and skills they need.

    How to close the gap

    All sectors must mobilize to invest in bridging this divide. Organizations that play a role in the data ecosystem, or that are leaders in using data already, can help create accessible, transformational solutions by sharing tools, talent, and financial resources to make data skills more widely available to nonprofits. This can also include donating software licenses, training, and support to nonprofit organizations and educational institutions around the globe to foster data literacy and action.

    Leadership can also come from the public sector. For example, the UN Global Pulse – Data for Climate Action is an unprecedented open innovation challenge to harness data science and big data from the private sector to fight climate change. This challenge aims to leverage private big data to identify revolutionary new approaches to climate mitigation and adaptation.

    Closing the gap is not only about solving global crises–but data can also help tackle local problems. For instance, Operation Clean Sweep in Buffalo, NY used 311 call data to bring citizens closer together. It started by connecting residents with critical health and human services. During neighborhood visits, corps members also conduct cleanups, seal vacant homes, remove graffiti, and fill potholes–and the city uses data to determine which neighborhoods are most in need of services.

    The data divide may not feel like an urgent problem to many, but it underlies some of the world’s most pressing problems. With so many global crises already unfolding, we need problem solvers from all sectors to harness the power of data for positive social and environmental impact. If we do not act decisively and with urgency, the have-nots will fall further and further behind–and all of us will feel the effects.

    If we act now, we can empower individuals and organizations around the world to use data to solve a wide range of problems, from skill gaps to climate change. We might even get a few potholes fixed, too.

    Kriss Deiglmeier is Splunk‘s Chief Social Impact Officer.

    The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of Fortune.

    More must-read commentary published by Fortune:

    • The Fed is oversteering on inflation–every signal suggests it’s already cooling
    • Patagonia: ‘We are turning capitalism on its head by making the Earth our only shareholder’
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    Sign up for the Fortune Features email list so you don’t miss our biggest features, exclusive interviews, and investigations.

    Kriss Deiglmeier

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  • Ardent Announces FAA eFAST Contract Vehicle Award

    Ardent Announces FAA eFAST Contract Vehicle Award

    Press Release
    –

    Jul 22, 2022


    ARLINGTON, Va., July 22, 2022 (Newswire.com)
    –
    Ardent Management Consulting, Inc. (Ardent), a trusted provider of digital transformation, data science and analytics, and location intelligence, announced its award of the Federal Aviation Administration (FAA) Electronic Accelerated and Simplified Tasks (eFAST) multi-year Master Ordering Agreement (MOA). 

    The eFAST MOA offers FAA and government-wide customers broad technical scope, several contract and award types, and a wide array of labor categories with fixed ceiling rates. “We are excited to bring Ardent’s service offerings to a new market. The FAA is an ideal consumer of our innovative solutions in Agile, DevSecOps, cloud, data, and geospatial,” said Josh Rubin, Ardent Chief Growth Officer. “We look forward to the opportunity to support critical government missions through eFAST.” 

    About Ardent

    A digital transformation, location intelligence, and data analytics firm, Ardent brings a significant history of innovative proven best practices “at the speed of the mission” to Federal Civilian agencies, DHS mission components, State and Local entities, and the commercial and non-profit sectors. Ardent Management Consulting is certified to 9001:2015, its Development Projects are CMMI-Dev V2.0 Maturity Level 3 rated and its management systems (ISMS/ITSMS) are certified to IS0 27001:2013, and ISO 20000-1:2018 standards by SRI Quality System Registrar. For more information, visit www.ardentmc.com or reach out to Emily Morgan (emily.morgan@ardentmc.com).

    Source: Ardent

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  • Ardent Selected as Joint Venture Partner for Department of Commerce’s National Technical Information Service

    Ardent Selected as Joint Venture Partner for Department of Commerce’s National Technical Information Service

    Press Release
    –

    Jul 12, 2022


    ARLINGTON, Va., July 12, 2022 (Newswire.com)
    –
    Ardent Management Consulting, Inc. (Ardent), a trusted provider of digital transformation, data science and analytics, and location intelligence, announced its selection as a Joint Venture Partner (JVP) for the National Technical Information Service (NTIS), Department of Commerce. NTIS helps federal agencies make better decisions about data by providing the support and structure that helps partners securely store, analyze, sort, and aggregate data in new ways. 

    Ardent joins an exclusive group of data sciences experts that provide-next generation solutions to NTIS customers across the Federal landscape. NTIS leverages its private-sector partners’ knowledge to create new ways of using data to solve problems. As a Joint Venture Partner, Ardent will apply its Data framework using advanced analytics and ML Ops to accelerate federal agencies’ ability to collect, connect, access, analyze, and extract valuable insights from federal data and enhance data services. “The award of this unrestricted vehicle demonstrates the maturity and depth of Ardent’s data science and analytics capabilities,” said Brandon LaBonte, Ardent CEO. “In partnership with NTIS, this vehicle uniquely positions Ardent to enhance the way our Federal partners manage, secure and apply data to deliver outcomes that improve the mission.”

    About Ardent

    A digital transformation, location intelligence, and data analytics firm, Ardent brings a significant history of innovative proven best practices “at the speed of the mission” to Federal Civilian agencies, DHS mission components, State and Local entities, and the commercial and non-profit sectors. Ardent Management Consulting is certified to 9001:2015, its Development Projects are CMMI-Dev V2.0 Maturity Level 3 rated and its management systems (ISMS/ITSMS) are certified to IS0 27001:2013, and ISO 20000-1:2018 standards by SRI Quality System Registrar. For more information, visit www.ardentmc.com or reach out to Emily Morgan (emily.morgan@ardentmc.com)

    Source: Ardent

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  • Meet the Australian Start-Up Making the Personal Data Economy Mainstream

    Meet the Australian Start-Up Making the Personal Data Economy Mainstream

    The AI-powered iPhone app, PI.EXCHANGE has already been downloaded in over 100 countries during their beta launch.

    Press Release
    –


    updated: Oct 17, 2017


    Melbourne, Australia, October 17, 2017 (Newswire.com)
    –
    PI.EXCHANGE, the world’s first personal data bank, after recently announcing their beta application’s launch have reported that their first week of official beta marketing spend has surpassed all expectations and industry benchmarks by multiples. The company is experiencing average costs per installs of below $1 per person in a lot of countries and by all age groups, with downloads in 117 different countries around the world.

    Traction & Growth Lead, Hersh Bhatt spoke of the strong initial traction saying, “Everyone in the PI.EXCHANGE family expected strong results as we believe we have a very strong product to offer. However, the near exponential growth at such a purposefully restricted budget is a surprise even to an optimist like myself. I strongly believe this shows the mass market is ready for a personal data economy and it will be our commitment as PI.EXCHANGE to be humankind’s reliable yet intelligent partner in all things personal data.”

    “Everyone in the PI.EXCHANGE family expected strong results as we believe we have a very strong product to offer. However, the near exponential growth at such a purposefully restricted budget is a surprise even to an optimist like myself. I strongly believe this shows the mass market is ready for a personal data economy and it will be our commitment as PI.EXCHANGE to be humankind’s reliable yet intelligent partner in all things personal data”

    Hersh Bhatt, Traction & Growth Lead

    The company has confirmed that an Android version is in the works and they have assured fans that development will be accelerated for the Android version due to demand. The app not only promises individuals the ability to invest with and monetize their data but also offers a suite of free features including celebrity insights and personality comparisons, personal data visualization, social media personality analytics, location maps and likability insights that leverage sentiment analysis.

    Media Contact: 
    Hersh Bhatt 
    Phone: +61 431699429 
    Email: Hersh.Bhatt@PI.EXCHANGE

    Source: PI.EXCHANGE

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