Soil Science Courses

Discrete Math for Computer Science - Logic & Set Theory

Master propositional and predicate logic, set theory, and formal reasoning to build mathematical foundations essential for algorithm design and program correctness.

• Coursera
• 9 hours 24 minutes
• Self-Paced
• Paid Course

Career Certificate

Discrete Mathematical Tools for Computer Science

Master discrete mathematics fundamentals for computer science: logic, counting, algorithms, recursion, and probability through rigorous problem-solving and proofs.

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

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?

77784 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

Career Certificate

Expressway to Data Science: Essential Math

484 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

Career Certificate

Data Science Foundations: Statistical Inference

364 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

Career Certificate

Expressway to Data Science: Python Programming

315 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

290 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

267 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

139 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

Career Certificate

Vital Skills for Data Science

133 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

111 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

96 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

Python Packages for Data Science

79 ratings at Coursera

Explore essential Python packages for data science: Pandas, NumPy, Matplotlib, and Seaborn. Learn data manipulation and visualization techniques to enhance your data analysis skills.

• Coursera
• 20 hours
• Self-Paced
• Paid Course

Career Certificate

Statistical Modeling for Data Science Applications

64 ratings at Coursera

Develop advanced statistical modeling skills for data science, including linear regression, ANOVA, and generalized linear models, with practical applications using R programming.

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