Soil Science Courses

The Science of Parenting

9 ratings at edX

Move beyond the chatterand opinion surrounding parenting and learn about thescientific findings and data that can help you make sensible, informed parenting decisions.

• edX
• 5 weeks, 3-5 hours/week
• Self-Paced
• Free Online Course

Genomic Data Science and Clustering (Bioinformatics V)

94 ratings at Coursera

Explore genomic data clustering techniques for gene expression analysis and human migration patterns. Learn algorithms for data point grouping and dimensionality reduction using principal components analysis.

• Coursera
• 9-10 hours
• Self-Paced
• Paid Course

Credential

Advanced Statistics for Data Science

797 ratings at Coursera

Comprehensive exploration of probability, statistics, and linear models for aspiring biostatisticians and data scientists. Covers mathematical foundations, hypothesis testing, regression, and R programming.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

The Data Science of Health Informatics

233 ratings at Coursera

By the end of this course, students will recognize the different types of health and healthcare data, will articulate a coherent and complete question, will interpret queries designed for secondary use of EHR data, and will interpret the results of those…

• Coursera
• 10 hours 5 minutes
• Self-Paced
• Paid Course

Credential

Tidyverse Skills for Data Science in R

110 ratings at Coursera

Master data science with R's Tidyverse: import, wrangle, visualize, and model data using powerful and scalable tools. Gain practical skills for the entire data science project lifecycle.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Psychedelic Science and Medicine

27 ratings at Coursera

Explore the science, history, and therapeutic potential of psychedelics with experts from Johns Hopkins, examining neuroscience mechanisms, clinical applications, and ethical considerations in this emerging field.

• Coursera
• 10 hours 25 minutes
• Self-Paced
• Paid Course

Cours intensif sur la science des données

Découvrez les fondamentaux de la science des données, ses applications dans les entreprises, et les compétences clés pour encadrer des projets data-driven en seulement 6 heures.

• Coursera
• 6 hours 4 minutes
• Self-Paced
• Paid Course

Credential

Genomic Data Science

Explore genomic data science through statistics, tools, and programming. Learn to analyze and interpret next-generation sequencing data using Python, R, and Bioconductor. Ideal for biologists seeking data science skills.

• Coursera
• 26 weeks, 2 hours a week
• Self-Paced
• Paid Course
• 8 courses

Data Science Decisions in Time: Information Theory & Games

Explore decision-making in dynamic environments through game theory, cooperative games, and opponent prediction. Learn to optimize strategies in complex social interactions and extract relevant features for informed choices.

• Coursera
• 1 day 4 minutes
• Self-Paced
• Paid Course

Data Science Decisions in Time: Using Causal Information

Explore causal decision-making in data science, focusing on optimizing policies, pricing, and actions using causal structures and advanced analytical techniques for business, medical, and technological applications.

• Coursera
• 1 day 5 hours 23 minutes
• Self-Paced
• Paid Course

Data Science Decisions in Time: Using Data Effectively

Learn to make optimal decisions using data streams, from simple to complex, covering Wald's model, Thompson sampling, change points, Markov chains, and Markov decision processes for effective data analysis and decision-making.

• Coursera
• 1 day 1 hour 10 minutes
• Self-Paced
• Paid Course

Data Science Decisions in Time:Sequential Hypothesis Testing

Explore sequential hypothesis testing for data-driven decision-making, from Chernoff's landmark paper to modern applications in pricing, healthcare, and image analysis.

• Coursera
• 1 day 12 minutes
• Self-Paced
• Paid Course

Credential

Data Science Decisions in Time

Learn to make confident, data-driven decisions in streaming applications through four courses covering sequential decisions, hypothesis testing, information theory, and causal inference.

• Coursera
• 12 weeks, 15 hours/week
• Self-Paced
• Paid Course
• 4 courses

Credential

Statistical Methods for Computer Science

Master advanced probability and statistical modeling techniques for data analysis, from fundamental concepts to computational methods, using R programming for real-world applications.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Mathematical Thinking in Computer Science

2284 ratings at Coursera

Develop critical thinking skills for computer science through induction, recursion, logic, and invariants. Solve interactive puzzles to grasp key concepts in algorithms, data science, and machine learning.

• Coursera
• 1 day 17 hours 45 minutes
• Self-Paced
• Paid Course