Soil Science Courses

Data Science Fundamentals Part 2: Unit 2

Master statistical inference through hypothesis testing, confidence intervals, and A/B testing while learning to distinguish correlation from causation for robust data analysis.

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

Data Science Fundamentals Part 2: Unit 3

Master statistical modeling and machine learning with Python using real Airbnb data, covering probability, regression, model evaluation, and Scikit-learn implementation.

• Coursera
• 9 hours 16 minutes
• Self-Paced
• Paid Course

Data Science Foundations with No-Code Tools

Discover how to tackle data projects confidently using no-code platforms for acquisition, cleaning, visualization, and model design to solve real business problems.

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

Packt

Game Development, Data Science, and Machine Learning

Explore game development with Pygame, data science with NumPy/Pandas, and machine learning with Scikit-learn through hands-on projects and real-world applications.

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

Personality in Action: Science to Shape Your Life

Discover how personality science can transform your behavior through practical frameworks, weekly challenges, and evidence-based strategies for meaningful change in work and relationships.

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

Packt

Foundations of Data Science and Machine Learning with Python

Master data science and machine learning fundamentals using Python libraries for analysis, visualization, and predictive modeling with hands-on projects.

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

Packt

Survey of Data Science

Discover foundational data science concepts, from exploratory analysis to neural networks, building skills in data cleaning, visualization, and machine learning techniques.

• Coursera
• 12 hours 12 minutes
• Self-Paced
• Paid Course

Praxis 5652 Study Guide - Computer Science Exam Prep

Master computer science concepts and test-taking strategies to excel on the Praxis 5652 certification exam with comprehensive preparation materials and practice questions.

• Study.com
• Self-Paced
• Paid Course

MTTC 137 Study Guide - Science (5-9) Exam Prep

Master essential science concepts and teaching strategies to confidently pass the MTTC 137 certification exam for grades 5-9 science education.

• Study.com
• 16 hours 32 minutes
• Self-Paced
• Paid Course

Coursera

Advanced Data Science Techniques (with AWS Integration)

Master sophisticated ML models and AWS deployment through hands-on projects covering feature engineering, time series analysis, and cloud-based machine learning pipelines.

• Coursera
• 1 day 5 hours 29 minutes
• Self-Paced
• Paid Course

Coursera

Building a Real-World Data Science Solution

Transform theoretical knowledge into practical expertise in this comprehensive project-based course designed for aspiring data professionals. Through an end-to-end project using synthetic customer support data (designed to mirror real-world scenarios) ,…

• Coursera
• 23 hours 21 minutes
• Self-Paced
• Paid Course

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

Skill Up with Python: Data Science and Machine Learning Recipes

Master Python through hands-on data science and ML projects including sentiment analysis, image recognition, web scraping, and data visualization in Jupyter Notebooks.

• Coursera
• 4 hours 51 minutes
• 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

Career Certificate

Data Science Fundamentals, Part 2

Master advanced data analysis, machine learning algorithms, and visualization techniques using Python tools like pandas, NumPy, and scikit-learn for impactful insights.

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