- Explore fundamentals of data science and its applications.
- Practice data analysis using low-code/no-code tools.
- Analyze AI and machine learning classification models.
- Discover nontechnical skills for effective data science.
Overview
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Unlock the power of data science with this comprehensive professional certificate. Gain essential skills to drive business insights, make data-driven decisions, and leverage AI technologies. Develop both technical and nontechnical skills for a successful data science career. Tune in, pass the final exam, and earn your certificate.
Syllabus
Courses under this program:
Course 1: Data Science Foundations: Fundamentals (2022)
-Get an accessible, nontechnical overview of data science, covering the vocabulary, skills, jobs, tools, and techniques of the field.
Course 2: Low Code/No-Code Data Literacy with KNIME: From Basic to Advanced
-Take your data literacy to the next level with tools that make sophisticated data analytics accessible to non-technical people.
Course 3: Introduction to Artificial Intelligence
-Get an overview of some of the latest tools and techniques in predictive and generative artificial intelligence (AI).
Course 4: Machine Learning and AI Foundations: Classification Modeling
-Classification methods are among the most important in modern data science. Learn classification strategies and algorithms for machining learning and AI.
Course 5: Generative AI: Introduction to Large Language Models
-Gain a foundational knowledge of how large language models and other Generative AI models work.
Course 6: The Non-Technical Skills of Effective Data Scientists
-Learn the nontechnical skills that effective data scientists must nurture to convert their first job into a successful, lifelong career.
Course 1: Data Science Foundations: Fundamentals (2022)
-Get an accessible, nontechnical overview of data science, covering the vocabulary, skills, jobs, tools, and techniques of the field.
Course 2: Low Code/No-Code Data Literacy with KNIME: From Basic to Advanced
-Take your data literacy to the next level with tools that make sophisticated data analytics accessible to non-technical people.
Course 3: Introduction to Artificial Intelligence
-Get an overview of some of the latest tools and techniques in predictive and generative artificial intelligence (AI).
Course 4: Machine Learning and AI Foundations: Classification Modeling
-Classification methods are among the most important in modern data science. Learn classification strategies and algorithms for machining learning and AI.
Course 5: Generative AI: Introduction to Large Language Models
-Gain a foundational knowledge of how large language models and other Generative AI models work.
Course 6: The Non-Technical Skills of Effective Data Scientists
-Learn the nontechnical skills that effective data scientists must nurture to convert their first job into a successful, lifelong career.
Taught by
Barton Poulson, PhD, KNIME AG, Doug Rose, Keith McCormick and Frederick Nwanganga