Soil Science Courses

GACE 717 Study Guide - Science (6-12) Exam Prep

Master comprehensive science concepts across chemistry, physics, biology, and earth science to excel on the GACE Science (6-12) 717 certification exam.

• Study.com
• Self-Paced
• Paid Course

Packt Credential

Google Colab for Data Science & AI using Python

Master Python programming and Google Colab for data science and AI through hands-on exercises, covering essential libraries like NumPy, Pandas, and Matplotlib for real-world projects.

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

Packt

Python Programming and Data Science Foundations for AI

Master Python programming and data science fundamentals through hands-on projects, from basic syntax to machine learning concepts, preparing you for AI application development.

• Coursera
• 1 day 5 hours 50 minutes
• Self-Paced
• Paid Course

Credential

Data Science for Healthcare

Master healthcare data science through machine learning, clinical analytics, and AI with hands-on projects using real medical data and responsible AI practices.

• Coursera
• 4 weeks, 7 hours/week
• Self-Paced
• Paid Course
• 3 courses

The Science of Eating Well for Fitness

Discover how carbohydrates, proteins, fats, vitamins, and minerals function in your body while mastering evidence-based nutrition principles for optimal health and performance.

• Coursera
• 5 hours 35 minutes
• Self-Paced
• Paid Course

Data Science and Machine Learning for Business Professionals

Discover foundational data science and machine learning skills to make confident, data-driven decisions and communicate insights effectively to stakeholders in any professional setting.

• Coursera
• 10 hours 41 minutes
• Self-Paced
• Paid Course

Edureka Credential

No-Code Data Science and Machine Learning

Master data science and ML through no-code tools like KNIME, Orange, and Google Vertex AI. Build pipelines, train models, and deploy solutions without programming.

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

Packt

Principles of Data Science

Master the full data science lifecycle, from data preparation to advanced ML techniques, while exploring ethical AI considerations and hands-on case studies for real-world decision-making.

• Coursera
• 1 day 7 hours 23 minutes
• Self-Paced
• Paid Course

Packt

Data Science with Python

Master essential Python libraries—NumPy, Pandas, Matplotlib, Plotly, and PyTorch—to manipulate data, create visualizations, process images, and build machine learning models for real-world data science projects.

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

Foundations of Data Science and Statistical Methods

Explore the foundations of data science, covering statistical methods, data collection, EDA, and mathematical concepts—ideal for beginners with no prior experience required.

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

Packt

Hands-On Data Science with PyTorch & Pandas

Master data science by building interactive dashboards with Shiny, analyzing datasets using Pandas workflows, and implementing PyTorch tensor operations and image classification apps in Python.

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

Packt Credential

The Complete Python and Data Science Bootcamp

Master Python and data science from scratch—covering OOP, NumPy, Pandas, Matplotlib, and machine learning with hands-on projects in Turtle Graphics, data manipulation, and interactive visualizations.

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

Coursera Credential

Mastering Geospatial Data Science: From Beginner to Expert

Master geospatial data science from GIS fundamentals to advanced ML, covering Python, QGIS, PostGIS, remote sensing, 3D LiDAR, and cloud platforms like Google Earth Engine.

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

Credential

The Science of Productivity

Unlock proven strategies to prioritize effectively, stop overcommitting, eliminate meeting waste, and maximize daily productivity without burning out.

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

Packt

Julia Programming for Data Science and Machine Learning

Master Julia v1.8 for data science and machine learning, covering type systems, metaprogramming, interoperability, visualization, and scientific computing with hands-on, real-world applications.

• Coursera
• 12 hours
• Self-Paced
• Free Certificate