Fabrizio Lecci’s Post

Curious to see how or if we can fill in this education/work force gap. The way I see it is internships get students into those industry places to see what these data pipelines and KPIs are. But spots are limited, competitive, and it doesn't scale. But is there anything that goes the other way? Should there be more data professionals guest speaking at universities? Or even co-teaching courses? On a related note, the weekly Thursday Data Science Hangouts hosted by Posit PBC and Rachael Dempsey seem to try and fill this gap too. This disconnect will only frustrate people on both sides. I hope the transition from academia and industry can smooth out.

Does Higher Education Still Prepare People for Jobs? In an age of unpredictable job evolution, it is hard to argue that the knowledge acquisition historically associated with a university degree is still relevant. But as university qualifications become more commonplace, recruiters and employers will increasingly demand them, regardless of whether they are actually required for a specific job. Research shows that the correlation between education level and job performance is weak, and that intelligence scores are a much better indicator of job potential. If we were to pick between a candidate with a college degree and a candidate with a higher intelligence score, we could expect the latter to outperform the former in most jobs, particularly when those jobs require constant thinking and learning. Having said that, universities could substantially increase the value of the college degree if they spent more time teaching their students critical soft skills. As the impact of AI and disruptive technology grows, candidates who can perform tasks that machines cannot are becoming more valuable. There is a huge opportunity for colleges to restore their relevance by teaching their students emotional intelligence, resilience, empathy, integrity, learnability, and leadership skills.

While the world adapts to its ever growing reliance on data and its applications, MBA students need to grow with that curve. Coupled with soft skills and general business knowledge, having and expanding tech skills can vastly improve your resume and entice future employers. #mba #business #techskills #data #huskies https://lnkd.in/ezwpcGCq

🎓 Encouragement for Secondary Students: Sharpening Your Analytical Thinking Skills 🎓 To all the bright minds in secondary school, I want to share some advice that could help pave your way to a successful and fulfilling career. 📚 Subjects to Focus On: 1. Mathematics: Dive deep into Algebra, Geometry, Calculus, and Statistics. These subjects develop your logical reasoning and problem-solving abilities. 2. Science: Engage with Physics, Chemistry, and Biology to enhance your analytical skills through experimentation and data analysis. 3. Economics: Understand market trends and economic principles to sharpen your ability to analyze data and make informed decisions. 4. Computer Science: Learn programming and data management to foster logical thinking and problem-solving skills. 5. Advanced Placement (AP) or International Baccalaureate (IB) Courses: Take on the challenge of rigorous study to build your critical thinking abilities. 6. Engineering or Robotics: Participate in courses or clubs that offer hands-on problem-solving experiences. 7. English and Literature: Improve your critical thinking by analyzing texts and constructing well-founded arguments. 8. Philosophy: Learn to construct and deconstruct arguments, enhancing your logical reasoning skills. 9. Social Studies: Develop your ability to evaluate information by analyzing historical events and societal trends. 🎓 Majors to Consider: 1. Data Science 2. Business Analytics 3. Economics 4. Engineering 5. Computer Science 6. Finance 7. Mathematics 8. Physics 9. Statistics 💼 Professional Jobs: 1. Data Analyst/Scientist 2. Business Analyst 3. Market Research Analyst 4. Financial Analyst 5. Operations Research Analyst 6. Management Consultant 7. Healthcare Analyst 8. Cybersecurity Analyst 9. Supply Chain Analyst 10. Policy Analyst By focusing on these subjects, you’ll be building a solid foundation of analytical thinking skills that will serve you well in your academic pursuits and professional career. Keep pushing your boundaries, stay curious, and never stop learning. The future is yours to shape! #Education #AnalyticalThinking #CareerAdvice #SecondaryEducation #FutureLeaders Santy Laksmi School Counselor II Career Counselor

In an age of unpredictable job evolution, it is hard to argue that the knowledge acquisition historically associated with a university degree is still relevant. But as university qualifications become more commonplace, recruiters and employers will increasingly demand them, regardless of whether they are actually required for a specific job. Research shows that the correlation between education level and job performance is weak, and that intelligence scores are a much better indicator of job potential. If we were to pick between a candidate with a college degree and a candidate with a higher intelligence score, we could expect the latter to outperform the former in most jobs, particularly when those jobs require constant thinking and learning. Having said that, universities could substantially increase the value of the college degree if they spent more time teaching their students critical soft skills. As the impact of AI and disruptive technology grows, candidates who can perform tasks that machines cannot are becoming more valuable. There is a huge opportunity for colleges to restore their relevance by teaching their students emotional intelligence, resilience, empathy, integrity, learnability, and leadership skills.

Businesses need employees with soft skills. Are universities doing enough to teach them? Summary.   In an age of unpredictable job evolution, it is hard to argue that the knowledge acquisition historically associated with a university degree is still relevant. But as university qualifications become more commonplace, #recruiters and #employers will increasingly demand them, regardless of whether they are actually required for a specific job. Research shows that the correlation between #educationlevel and #jobperformance is weak, and that intelligence scores are a much better indicator of job potential. If we were to pick between a candidate with a #college degree and a candidate with a higher intelligence score, we could expect the latter to outperform the former in most #jobs, particularly when those jobs require constant thinking and #learning. Having said that, #universities could substantially increase the value of the college degree if they spent more time teaching their #students critical #softskills. As the impact of AI and disruptive technology grows, candidates who can perform tasks that machines cannot are becoming more valuable. There is a huge opportunity for colleges to restore their relevance by teaching their students #emotionalintelligence, #resilience, #empathy, #integrity, #learnability, and #leadershipskills. We often hear employers and business leaders lament the unfortunate gap between what students learn in college and what they are actually expected to know in order to be job-ready. This is particularly alarming in light of the large — and still growing — number of people graduating from university: above 40% of 25 to 34-year-olds in OECD countries, and nearly 50% of 25 to 34-year-olds in America. #businessschools #executiveleadership #cxo #leaders #csuite #csuiteleaders https://lnkd.in/gJDWsg7q

As students embark on a journey to master these cutting-edge fields, certain key elements are essential to ensure their success and prepare them for the challenges and opportunities. With the advancements of the digital era, top-tier professional abilities such as Data Science and Machine Learning are now crucial for achieving success in different industrial sectors. It's vital for students who are pursuing mastery in these modern disciplines to grasp certain fundamental aspects. This prepares them to overcome potential obstacles and seize forthcoming opportunities. Firmly Ground Yourself in Basic Knowledge: Data Science and Data Learning are both broad and ever-evolving fields. To truly thrive, learners should begin their journey by thoroughly understanding core principles such as mathematics, statistics, coding, and database administration. This strong base will serve as the springboard for diving into more intricate theories and practical implementations in the real world. Practical Involvement: More than just having theoretical understanding in these areas is required. It's crucial for learners to avidly pursue practical involvement in the form of projects, internships, or practical drills. Engaging with actual data sets and tackling issues bolsters their capacity to solve problems, think critically, and apply theoretical wisdom in actual-world instances. Maintaining the Pace with Constant Learning: Data Science and Data Learning are dynamic and consistently progressing areas. It's pivotal for the students to adopt a permanent learning approach to remain at the tip of innovation. Regular interaction with professional blogs, thorough study of research documents, participation in webinars, and pursuing online tutorials can enable students to stay aligned with the most recent tools, strategies, and trends. At HefShine Softwares, we are passionate about empowering students with the tools and knowledge to thrive in the world of Data Science and Data Learning. #datascience #itandsoftware #learning #machinelearning #dataanalysis

https://lnkd.in/dCkN7-Y3 Not everyone needs to go through a full-term & full-time course. Rather byte-sized / micro-courses which are highly specialised would be the perfect solution for young graduates being employable. Of course it depends on their inclination towards the type of work they would like to do. Teach as much as it's needed. That should be the mantra. If an engineering or management student would like to start a car detailing workshop help him or her start exactly that and enable him or her to acquire that knowledge which is good for his or her business. Add a bit of tech stuff if that's needed for the car detailing workshop. That's it. If someone would like to be a data scientist with an MBA it's good to focus on tech subjects rather than finance or HR or another subject that won't add value. Help him or her with stats and things similar.

People might #wonder how I suffered from #occupational #burnout being an #academic and a #scholar. While most academics only #prep 2 maybe 3 courses in their career, well, here are all the names of the #courses I've #prepped over the 10 years of my #career, across 7 different institutions (community college, public, private, elite), 30 different distinct course offerings: DATA Initiative Research Lab Business Applications for Natural Language Analytics APIs for Informed Business Decision Making Quantitative Analysis of Consumer Data Marketing Analytics Business Practicum for Python Information Visuals and Dashboards for Business M.S. BAN Modeling and Simulation for Business Decisions M.S. BAN Economic Models M.S. BAN Calculus for Business Analytics M.S. BAN Statistics for Business Analytics M.S. BAN Artificial Intelligence for Business M.S. BAN Data Warehousing and Data Mining M.S. BAN Machine Learning M.S. BAN Capstone M.S. BAN Business Analytics for Decision Making Management Information Systems Supply Chain Management Production and Operations Management Introduction to Business Research Methods: Demand Planning and Fulfillment: MBA Data Analysis and Decision Making MBA Operations Analysis MBA B2B Marketing Introduction to Marketing Applied Business Statistics Marketing Research Introduction to Statistics ... and that doesn't include the disciplines that I publish within. So yeah, that's how! Take breaks everyone. You don't want to have to go through #burnoutrecovery and take a #leapoffaith. Because that's what I'm doing now with #blogging and #tutoring, and #scholarship. Learn more about it @ www.mylesgarvey.com

As students embark on a journey to master these cutting-edge fields, certain key elements are essential to ensure their success and prepare them for the challenges and opportunities. With the advancements of the digital era, top-tier professional abilities such as Data Science and Machine Learning are now crucial for achieving success in different industrial sectors. It's vital for students who are pursuing mastery in these modern disciplines to grasp certain fundamental aspects. This prepares them to overcome potential obstacles and seize forthcoming opportunities. Firmly Ground Yourself in Basic Knowledge: Data Science and Data Learning are both broad and ever-evolving fields. To truly thrive, learners should begin their journey by thoroughly understanding core principles such as mathematics, statistics, coding, and database administration. This strong base will serve as the springboard for diving into more intricate theories and practical implementations in the real world. Practical Involvement: More than just having theoretical understanding in these areas is required. It's crucial for learners to avidly pursue practical involvement in the form of projects, internships, or practical drills. Engaging with actual data sets and tackling issues bolsters their capacity to solve problems, think critically, and apply theoretical wisdom in actual-world instances. Maintaining the Pace with Constant Learning: Data Science and Data Learning are dynamic and consistently progressing areas. It's pivotal for the students to adopt a permanent learning approach to remain at the tip of innovation. Regular interaction with professional blogs, thorough study of research documents, participation in webinars, and pursuing online tutorials can enable students to stay aligned with the most recent tools, strategies, and trends. At HefShine Softwares, we are passionate about empowering students with the tools and knowledge to thrive in the world of Data Science and Data Learning. #datascience #itandsoftware #learning #machinelearning #dataanalysis