Data Science Professional Certificate by KNIME

Overview

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.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.

Syllabus

• Introduction to Data Science
Understanding Data Science and its Impact
Overview of Data Science in Business
• Fundamentals of Data Science
Data Collection and Cleaning
Data Exploration and Visualization
Introduction to Statistical Analysis
• Tools for Data Analysis
Overview of Low-Code/No-Code Tools
Hands-on Practice with KNIME
Data Manipulation and Workflow Design in KNIME
• Machine Learning Essentials
Fundamentals of AI and Machine Learning
Types of Machine Learning: Supervised vs. Unsupervised
Introduction to Classification Models
• Applied Data Science
Building and Evaluating Classification Models
Case Studies: Applying Machine Learning to Real-World Problems
• Nontechnical Skills for Data Science
Effective Communication of Data Insights
Storytelling with Data
Collaboration and Teamwork in Data Science
• Ethical Considerations in Data Science
Understanding Data Privacy and Security
Addressing Bias and Fairness in AI Models
• Final Project and Exam
Completion of a Capstone Project
Preparing for and Taking the Final Exam
Earning the Data Science Professional Certificate
• Career Development in Data Science
Building a Data Science Portfolio
Networking and Career Opportunities in Data Science

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Taught by

Barton Poulson, PhD, KNIME AG, Doug Rose, Keith McCormick and Frederick Nwanganga

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Subjects

Data Science