Soil Science Courses

Genentech

Data Science with Real World Data in Pharma

13 ratings at Coursera

Explore real-world data applications in pharmaceutical research, from understanding data limitations to designing studies and generating evidence for healthcare decision-making.

• Coursera
• 9 hours 40 minutes
• Self-Paced
• Paid Course

Genentech

Making Data Science Work for Clinical Reporting

11 ratings at Coursera

Explore data science principles for efficient clinical reporting, focusing on transparency, DevOps practices, version control, code reusability, and risk management in clinical trials.

• Coursera
• 11 hours 22 minutes
• Self-Paced
• Paid Course

Edureka

Power BI for Data Science and Analytics

11 ratings at Coursera

Master Power BI for data analytics: create insightful visualizations, leverage AI features, centralize data with dataflows, and design effective scorecards to extract valuable insights and display key metrics.

• Coursera
• 14 hours 26 minutes
• Self-Paced
• Paid Course

Packt

Statistics & Mathematics for Data Science & Data Analytics

11 ratings at Coursera

Master essential statistical and mathematical concepts for data science, from descriptive statistics and probability theory to regression analysis and hypothesis testing, with practical applications for real-world data problems.

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

The Living Amazon: Science, Cultures and Sustainability in Practice

12 ratings at edX

Learn about the importance of the Amazon at local and global scales, the threats the region faces, and how sustainable development can help save its extraordinary biodiversity and peoples for current and future generations. Leia em Português Leer en espa…

• edX
• 8 weeks, 2-3 hours/week
• Self-Paced
• Free Online Course (Audit)

Meta

Prepare for the Meta Marketing Science Certification Exam

10 ratings at Coursera

Comprehensive guide to scheduling, preparing, and taking the Meta Marketing Science Certification exam, with access to study materials and resources.

• Coursera
• 1 hour 26 minutes
• Self-Paced
• Paid Course

SQL for Data Science with R

9 ratings at edX

Build a baseline understanding about relational database concepts and learn how to apply foundational knowledge of the SQL and R languages through a series of hands-on labs to practice building and running SQL queries.

• edX
• 6 weeks, 2-3 hours/week
• Self-Paced
• Free Online Course (Audit)

DP-604: Implement a Data Science Machine Learning Solution for AI with Microsoft Fabric (Live Online)

8 ratings at CourseHorse

Elevate your data science skills with a deep dive into machine learning solutions using Microsoft Fabric.

• CourseHorse
• 6 hours
• Self-Paced
• $595.00

Designing and Implementing a Data Science Solution (Live Online)

8 ratings at CourseHorse

Master the art of designing and implementing data science solutions on Azure with this comprehensive course.

• CourseHorse
• 27 hours
• Self-Paced
• $2,295.00

Packt Credential

Machine Learning, Data Science and Generative AI with Python

5 ratings at Coursera

Master machine learning, data science, and generative AI using Python. Build models with TensorFlow, work with big data using Spark, and deploy real-time AI systems ethically.

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

Fred Hutchinson Cancer Center Credential

Enhancing Reproducible Science with GitHub and Docker

5 ratings at Coursera

Master reproducible science techniques using GitHub and Docker to ensure consistent research results across different environments and collaborators.

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

Credential

Data Science Fundamentals, Part 1

6 ratings at Coursera

Master the complete data science workflow from data acquisition to ML model deployment using Python, with hands-on exercises and real-world applications.

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

Packt Credential

R Ultimate 2024 - R for Data Science and Machine Learning

5 ratings at Coursera

Master R programming for data science and machine learning, covering fundamentals to advanced techniques in statistical analysis, visualization, and AI applications.

• Coursera
• 4 weeks, 10 hours/week
• 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 Credential

Python - Complete Python, Django, Data Science and ML Guide

Master Python programming from basics to advanced applications including Django web development, data science with Pandas/Matplotlib, and machine learning with Scikit-learn.

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