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Data Science and AI Engineering are two of the most sought-after career paths in tech today. But what sets them apart, and what skills do you need to thrive in these roles? Whether you're exploring your next career move or looking to upskill, here’s a breakdown of the key competencies required for each path. Data Science 1?. Programming: Proficiency in Python and R 2?. Statistics & Probability: A strong foundation to make data-driven decisions. 3?. Data Wrangling & Visualization: Using tools like Pandas, Tableau, or Power BI. 4?. Machine Learning: Knowledge of libraries like Scikit-learn, TensorFlow, or PyTorch. 5?. Domain Expertise: Understanding the business context for actionable insights. AI Engineering 1?. Programming & Software Development: Mastery in Python, Java, or C++. 2?. AI & Deep Learning Frameworks: Familiarity with TensorFlow, PyTorch, or Keras. 3?. ?Data Engineering: Building pipelines and managing large datasets with tools like Apache Spark. 4?. Cloud & DevOps: Experience with AWS, Azure, or GCP, and CI/CD pipelines. 5?. Deployment & Optimization: Knowledge of MLOps and model optimization for production. Both roles require overlapping skills but diverge in focus: Data Scientists excel at deriving insights and predictions from data where AI Engineers specialize in building, scaling, and deploying intelligent systems. ?? Tip: Start by identifying your interest—are you more intrigued by data analysis or building AI-powered systems? ? Ready to embark on this exciting journey? Check out our courses: https://lnkd.in/dykufrux ??? #CareerDevelopment #LeapFrogConex #TechEducation #LifelongLearning #ArtificialIntelligence #Cybersecurity #CloudComputing #ProfessionalGrowth #FutureOfWork #Upskill #Reskill #OnlineLearning #TechSkills #Innovation #ContinuousLearning

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Ever wondered how data science can benefit your business decision? Many companies are successful in their data-led approaches because of a strong, collaborative relationship between data scientists and business leaders. By combining knowledge and analysis of data with business acumen, modern companies can become experts in data science execution. But this is not easy, and requires a shared understanding. Explore our course on Machine Learning and AI with Python from Harvard University https://lnkd.in/dg5BKbiX to know how Data science can play a big role.

?? Elevate Your Tech Skills with LeapFrog Conex’s Ivy League-Backed Learning Library! Forbes’ 2024-2025 ranking of America’s top colleges places Princeton University at the forefront for the second consecutive year. **?? Ranking Factors Explained To provide clarity on what makes these institutions stand out, here’s a detailed look at the key factors Forbes considers in their rankings: - Student Success - Alumni Influence - Academic Excellence - Diversity and Inclusion - Global Reputation and Partnerships At LeapFrog Conex, we are thrilled to leverage the excellence of these top-tier universities through our Learning Library. We offer professional certificates in in-demand technology fields such as: ??Artificial Intelligence & Machine Learning: Dive into AI and ML with courses from institutions such as ?Harvard, MIT, Stanford, etc. covering everything from foundational concepts to advanced applications. ??Data Science & Analytics: Master data interpretation and decision-making with courses designed by industry experts. ??Data Privacy: Understand the intricacies of data privacy with programs developed in collaboration with IBM and leading institutions ensuring you stay ahead in safeguarding information. ??Cybersecurity: Learn cutting-edge security strategies from cyber professionals and professors. ??Cloud Computing: Harness the power of cloud technologies with practical insights from AWS, Google, IBM, etc. ??And much more! ?? Get Started Today: Learn from world-renowned professors and industry experts from top-tier universities. Explore our course offerings and enroll now to take the first step towards a brighter, more technologically adept future. Visit our website www.leapfrogconex.com for more information. #TechEducation #Upskill #Reskill #DataScience #Cybersecurity #SoftwareEngineering #CloudComputing #IvyLeague #ProfessionalCertificates #LeapFrogConex #ContinuousLearning #CareerGrowth #DigitalTransformation

The results of the research could further support the idea that AI complements knowledge workers but doesn’t replace them. https://lnkd.in/ef6id79A

A 2023 Boston Consulting Group (BCG) survey showed that 70% of marketing companies were using generative artificial intelligence for use cases such as personalization, content creation, and market segmentation, while a Harris Poll found that about 70% of hiring managers used generative AI. At the same time, about 24% of Americans had used OpenAI’s ChatGPT in their everyday lives, and just 19% thought that ChatGPT will have a major impact on their jobs. As adoption and utilization of generative AI expands, organizations need to make sure they are using it to their best advantage and that their employees are on board and understand the new technology as well. In a webinar co-presented with Boston College professor Sam Ransbotham last fall, MIT Sloan senior lecturer George Westerman discussed why employees need to know how generative AI works. Here, Westerman offers examples of generative AI use cases for business and explains why firms should use caution when implementing the technology.

Dreaming of breaking into the tech world? This November, LeapFrog Conex is opening doors for everyone to access FREE tech courses on our platform! Start learning, upskill, and get one step closer to your career goals with top-notch courses designed to equip you with real-world skills. ?? What’s included? ? Expert-led tech courses ? Flexible online access ? Certificates on completion ??? Don’t miss out! Claim your free access by filling out this survey: https://lnkd.in/dTa-jW9r #CareerDevelopment #LeapFrogConex #TechEducation #LifelongLearning #ArtificialIntelligence #Cybersecurity #CloudComputing #ProfessionalGrowth #FutureOfWork #Upskill #Reskill #OnlineLearning #TechSkills #Innovation #ContinuousLearning

In today’s fast-evolving landscape, integrating generative AI alongside predictive models can supercharge the six essential steps for launching machine learning projects. Generative AI isn’t just a tool for creative tasks, it has practical applications that enhance project accuracy, accelerate model development, and improve stakeholder collaboration.

Are you ready to elevate your decision-making skills? Imagine tackling the complex, multifaceted challenges your organization faces with the analytical precision of machine learning! In our Machine Learning and AI with Python course from Harvard University, you’ll gain hands-on experience using Python to: ? Explore advanced data science challenges through sample data sets, decision trees, random forests, and machine learning models ? Train your model to predict the most effective way to handle a problem ? Build a foundation for the use of Python libraries in machine learning and artificial intelligence, preparing you for future Python study ? Examine machine learning results, recognize data bias in machine learning, and avoid underfitting or overfitting data Why settle for traditional decision-making? Take advantage of AI and machine learning to work smarter, process data more efficiently, and prepare for a career in advanced data science. Put your data to work, expand your Python skills, and dive into the future of decision-making with machine learning! check out the course at : https://lnkd.in/dg5BKbiX #LeapFrogConex #CareerDevelopment #TechEducation #LifelongLearning #ArtificialIntelligence #Cybersecurity #CloudComputing #ProfessionalGrowth #FutureOfWork #Upskill #Reskill #OnlineLearning #TechSkills #ContinuousLearning

The demand for AI professionals is skyrocketing! According to the latest stats: AI Engineers can earn an average salary of $125,000 - $170,000 per year; While Machine Learning Specialists are among the top 10 highest-paying jobs globally and AI-related roles are expected to grow by 31% in the next decade, outpacing many other fields! ?What do you think? Check out this course from Harvard university https://bit.ly/4fp0mdx, through hands-on projects, you’ll gain exposure to: - A broad and robust understanding of computer science and programming - Graph search algorithms - Reinforcement learning - Machine learning - Artificial intelligence principles - Designing intelligent systems - Using AI in Python programs ???At your?self paced , 8-16 hours per week commitment , Enroll today and start your journey toward becoming a sought-after expert in AI!