Soil Science Courses

Coursera

Python for Data Science (and Version Control with GitHub)

Master Python programming for data analysis in this comprehensive course designed for aspiring data scientists. Through hands-on projects using real-world datasets, you'll learn essential data manipulation, visualization, and statistical analysis techniq…

• Coursera
• 1 day 11 hours 2 minutes
• Self-Paced
• Paid Course

Packt

Learn the Art and Science of PCB Design with Eagle

Master PCB design with Eagle software through hands-on projects, from basic schematics to advanced double-sided boards, custom components, and manufacturing-ready outputs for professional electronic circuits.

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

Mastering Generative AI for Data Science

This course helps you master generative AI skills to enhance data science workflows, improve data preparation, and refine machine learning models with real-world applications.

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

Credential

Data Science and Visualization

Master data science using Python, Scikit-Learn, and Tableau. Learn preprocessing, supervised and unsupervised learning algorithms, and data visualization techniques with real datasets to develop practical skills for predictive analytics.

• edX
• 20 weeks, 5-7 hours/week
• Self-Paced
• $845.00
• 2 courses

Praxis Elementary Education: Mathematics and Science (5008) Study Guide and Test Prep

Master essential math and science concepts for the Praxis 5008 exam with comprehensive study strategies, practice questions, and test-taking techniques to boost your teaching certification success.

• Study.com
• Self-Paced
• Paid Course

Praxis Physical Science (5485) Study Guide and Test Prep

Master essential physics and chemistry concepts to confidently pass the Praxis Physical Science 5485 exam with comprehensive test preparation strategies.

• Study.com
• Self-Paced
• Paid Course

GACE Computer Science P-12 (555) Study Guide and Test Prep

Master essential computer science concepts and teaching strategies to confidently pass the GACE Computer Science P-12 (555) certification exam.

• Study.com
• Self-Paced
• Paid Course

H2O.ai

Data Science and Machine Learning H2O.ai Platforms

Master H2O.ai's comprehensive data science toolkit for automated machine learning, model deployment, and generative AI applications, featuring Driverless AI, Wave App, and Enterprise GPTe.

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

Computer Science 104: Intro to Web Development

Discover HTML, CSS, and JavaScript fundamentals to build interactive websites and launch your web development journey with hands-on projects and real-world applications.

• Study.com
• 18 hours 16 minutes
• Self-Paced
• Paid Course

MTTC Science 7-12 (138) Study Guide and Test Prep

Master essential science concepts and teaching strategies to excel on the MTTC Science 7-12 certification exam with comprehensive study materials and practice tests.

• Study.com
• Self-Paced
• Paid Course

EDUCBA

Statistics for Data Science with Python

Master statistical analysis and predictive modeling using Python, Pandas, and NumPy through hands-on exercises covering descriptive stats, hypothesis testing, and regression techniques.

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

Packt

Foundations of ML & Python for Data Science

Gain insights into machine learning fundamentals and Python programming for data science, covering statistical techniques, key libraries like NumPy and Pandas, and practical applications across industries.

• Coursera
• 14 hours 15 minutes
• Self-Paced
• Paid Course

Packt

Matrix Calculus for Data Science & Machine Learning

Master the fundamentals of matrix calculus for data science applications, including vector derivatives, optimization techniques, and practical implementations in Python for machine learning algorithms.

• Coursera
• 8 hours 55 minutes
• Self-Paced
• Paid Course

Packt

NumPy, Matplotlib & Pandas – Data Science Prerequisites

Master essential Python data science libraries: NumPy for numerical computing, Matplotlib for visualization, and Pandas for data manipulation, plus introductions to SciPy and machine learning fundamentals.

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

Data Science and Machine Learning Bootcamp (Live Online)

Elevate your career with comprehensive training in Data Science and Machine Learning.

• CourseHorse
• 96 hours
• Self-Paced
• $9,999.00