Data Science

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Introduction to Applied Machine Learning (Coursera) Coursera
Alberta Machine Intelligence Institute

Introduction to Applied Machine Learning (Coursera)

Data Science

Embark on an introductory journey into the world of applied machine learning with this foundational course. Designed for beginners, this program will guide you through problem definition and data preparation in a practical machine learning project setting. Whether your interest lies in finance, medicine, engineering, or business analytics, this course is tailored to equip you with essential skills to tackle real-world challenges.

Oct 5th 2026
4 Weeks
ML Machine Learning Machine Learning: Algorithms in the Real World Specialization
Details
Exploratory Data Analysis with MATLAB (Coursera) Coursera
MathWorks

Exploratory Data Analysis with MATLAB (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of data analysis with 'Exploratory Data Analysis with MATLAB'. This course is designed for those who want to learn how to explore, analyze, and interpret data using MATLAB. By the end of this course, you'll be able to think like a data scientist, use interactive features in MATLAB to extract subsets and compute statistics, generate code automatically, and effectively communicate your analysis through live scripts.

Oct 5th 2026
5-12 Weeks
MATLAB Data Analysis Exploratory Data Analysis
Details
The Data Science of Health Informatics (Coursera) Coursera
Johns Hopkins University

The Data Science of Health Informatics (Coursera)

Health & Society Data Science

Dive into the fascinating world of health informatics with our Data Science of Health Informatics course. Gain expertise in handling complex health datasets, understanding their nuances, and applying them to improve patient care, conduct impactful research, ensure quality standards, and drive innovation in healthcare technology.

Oct 5th 2026
4 Weeks
Databases Data Analysis Data Science
Details
Response Surfaces, Mixtures, and Model Building (Coursera) Coursera
Arizona State University

Response Surfaces, Mixtures, and Model Building (Coursera)

Data Science

Dive into the world of optimization and process improvement with our 'Response Surfaces, Mixtures, and Model Building' course. This course is designed for professionals looking to enhance their skills in identifying key factors affecting a system's output and optimizing those factors to achieve the best possible results. Through factorial experiments and response surface methodology, you'll learn how to screen important factors, build predictive models, and ultimately drive process optimization.

Oct 5th 2026
4 Weeks
Regression Models Design of Experiments Specialization Response Surface
Details
Experimental Design Basics (Coursera) Coursera
Arizona State University

Experimental Design Basics (Coursera)

Data Science

Discover the essential principles of Experimental Design Basics with our beginner-friendly online course. Designed for those new to the field, this course will equip you with the knowledge and tools needed to conduct effective experiments and interpret results correctly. Learn from industry experts as you explore planning, execution, and analysis techniques using practical examples and software applications like JMP, Design-Expert, and Minitab.

Oct 5th 2026
5-12 Weeks
Experimental Design DOE Design of Experiments Specialization
Details
Factorial and Fractional Factorial Designs (Coursera) Coursera
Arizona State University

Factorial and Fractional Factorial Designs (Coursera)

Data Science

Explore the world of multifactor experiments with our introductory course on Factorial and Fractional Factorial Designs. Designed for those in engineering, science, and business, this course teaches you how to effectively design experiments where multiple factors are varied simultaneously. Master the art of analyzing data using ANOVA and unlock the potential to optimize processes and drive innovation.

Oct 5th 2026
4 Weeks
Statistics Probability ANOVA
Details
Random Models, Nested and Split-plot Designs (Coursera) Coursera
Arizona State University

Random Models, Nested and Split-plot Designs (Coursera)

Data Science

Dive into the world of Random Models, Nested and Split-Plot Designs with our expert-led online course. Gain a deep understanding of designing and analyzing experiments where factors are chosen at random, including nested factor studies and split-plot designs. Learn modern methods for estimating variability components crucial for assessing measurement systems' capability.

Oct 5th 2026
3 Weeks
Statistics Analysis Probability
Details
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