Soil Science Courses

AP Computer Science A: Java Programming Polymorphism and Advanced Data Structures

Explore advanced Java programming concepts including polymorphism, exceptions, and dynamic data structures. Master OOP strategies and algorithms for efficient coding.

• edX
• 6 weeks, 5-10 hours/week
• Self-Paced
• Free Online Course

American Museum of Natural History

The Science of Stem Cells

3212 ratings at Coursera

Explore stem cell biology, research techniques, and potential medical breakthroughs. Learn from experts about current accomplishments, challenges, and ethical implications in this cutting-edge field.

• Coursera
• 10 hours 3 minutes
• Self-Paced
• Paid Course

What is Data Science?

77647 ratings at Coursera

Explore data science fundamentals, applications, and career paths. Learn about big data, machine learning, and how organizations leverage data-driven insights for business success and societal impact.

• Coursera
• 11 hours 29 minutes
• Self-Paced
• Paid Course

Drainage in Agriculture: controlling water and salt levels in the soil

5 ratings at edX

Explore agricultural drainage techniques to control soil water and salt levels, enhancing crop productivity and sustainable food security in changing climate conditions.

• edX
• 5 weeks, 18-20 hours/week
• Self-Paced
• Free Online Course (Audit)

The Science of Beer

1 rating

Are you interested in more than just the taste of beer? Discover what's in your beer, how it's made and marketed and the effect it has on your body and health.

• edX
• 6 weeks, 2-4 hours/week
• Self-Paced
• Free Online Course (Audit)

Sustainable Soil Management: Soil for life

25 ratings at edX

Explore soil's vital role, threats to its health, and sustainable management practices. Gain hands-on experience through experiments and games while learning to protect this crucial natural resource.

• edX
• 7 weeks, 8-10 hours/week
• Self-Paced
• Free Online Course (Audit)

Credential

Expressway to Data Science: Essential Math

479 ratings at Coursera

Concise overview of foundational mathematics critical for Data Science careers, covering algebra, calculus, linear algebra, and numerical analysis. Prepares learners for advanced studies and applications in the field.

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

Credential

Data Science Foundations: Statistical Inference

359 ratings at Coursera

Gain a solid foundation in probability theory, statistical inference, and data analysis using R. Master essential skills for statistical hypothesis testing and confidence intervals in data science applications.

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

Credential

Expressway to Data Science: Python Programming

314 ratings at Coursera

Learn Python programming for data science from scratch. Master fundamentals, functions, and essential packages like Pandas and Numpy. Ideal for beginners seeking a fun, step-by-step approach to Python and data analysis.

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

Probability Foundations for Data Science and AI

287 ratings at Coursera

Explore probability foundations, random variables, and the Central Limit Theorem. Gain essential skills for data analysis and statistical inference in this comprehensive introduction to probability theory.

• Coursera
• 1 day 18 hours 21 minutes
• Self-Paced
• Paid Course

Algebra and Differential Calculus for Data Science

265 ratings at Coursera

Learn essential algebra and calculus concepts for data science, focusing on derivatives, graphing, and function optimization. Gain a solid math foundation without unnecessary complexity.

• Coursera
• 8 hours 1 minute
• Self-Paced
• Paid Course

Designing Effective Science Communication

137 ratings at Coursera

Equips scientists and educators with skills to effectively communicate science to diverse audiences, focusing on learning principles, presentation techniques, writing strategies, technology use, and artistic approaches.

• Coursera
• 10 hours 52 minutes
• Self-Paced
• Paid Course

Credential

Vital Skills for Data Science

129 ratings at Coursera

Explore key areas in data science, including ethics, cybersecurity, and visualization. Gain practical skills and insights to determine your interests and future specialization in this diverse field.

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

Integral Calculus and Numerical Analysis for Data Science

109 ratings at Coursera

Intuitive approach to integral calculus and numerical analysis, covering integration, root-finding, matrix decomposition, and partial derivatives for data science applications.

• Coursera
• 3 hours 32 minutes
• Self-Paced
• Paid Course

Statistical Estimation for Data Science and AI

93 ratings at Coursera

Learn statistical inference, sampling distributions, and confidence intervals. Explore estimation methods, construct good estimators, and develop confidence intervals for various settings. Gain practical skills for data analysis and interpretation.

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