Soil Science Courses

Microcredential

Vital Skills for Data Science

126 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 a week
• On-Demand
• Paid Course
• 3 courses

Integral Calculus and Numerical Analysis for Data Science

109 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
• On-Demand
• Paid Course

Modes of Science Communication

In this course, you will explore different modalities of science communication, including oral presentations, written forms of communication, technology, and artistic media, including best practices for each.

• Coursera
• 10 hours 23 minutes
• On-Demand
• Paid Course

Statistical Estimation for Data Science and AI

90 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
• On-Demand
• Paid Course

The Softer Side of Science Communication

Explore evidence-based methods for effective science communication, focusing on emotions, connection, conflict management, and inclusivity to enhance your skills and impact.

• Coursera
• 9 hours 48 minutes
• On-Demand
• Paid Course

Python Packages for Data Science

78 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
• On-Demand
• Paid Course

Microcredential

Statistical Modeling for Data Science Applications

60 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 a week
• On-Demand
• Paid Course
• 3 courses

Microcredential

Expressway to Data Science: R Programming and Tidyverse

56 ratings at Coursera

Master R programming and Tidyverse for data science: import, tidy, and visualize data using ggplot2. Develop skills for reproducible research and advanced data analysis techniques.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Microcredential

Data Science Methods for Quality Improvement

53 ratings at Coursera

Gain data analysis skills for quality improvement in business and industry. Learn RStudio, RMarkdown, and techniques to enhance performance, quality, and reliability across various sectors.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Statistical Inference and Hypothesis Testing in Data Science Applications

51 ratings at Coursera

Learn hypothesis testing for data science applications, covering theory, implementation, and ethical considerations. Develop skills to make informed decisions from data using statistical inference techniques.

• Coursera
• 1 day 12 hours 40 minutes
• On-Demand
• Paid Course

Ethical Issues in Data Science

49 ratings at Coursera

Explore ethical challenges in data science, including privacy, security, bias, and medical applications. Gain insights to navigate ethical considerations in your data science career.

• Coursera
• 23 hours 52 minutes
• On-Demand
• Paid Course

Data Science as a Field

39 ratings at Coursera

Explore data science's evolution, applications, and methodologies. Learn about the data analysis process, pitfalls, and effective communication of results in various professional settings.

• Coursera
• 10 hours 56 minutes
• On-Demand
• Paid Course

Cybersecurity for Data Science

30 ratings at Coursera

Learn essential cybersecurity concepts, tools, and techniques for data science, including risk mitigation, authentication, access control, and ethical considerations to ensure data security and privacy.

• Coursera
• 19 hours 11 minutes
• On-Demand
• Paid Course

Microcredential

Statistical Learning for Data Science

20 ratings at Coursera

Gain advanced statistical learning techniques for data science, including model selection, regression, classification, and unsupervised learning. Develop skills to explain and justify models effectively.

• Coursera
• 16 weeks, 9 hours a week
• On-Demand
• Paid Course
• 3 courses

Microcredential

The Science of Movement

16 ratings at Coursera

Explore the nervous system's role in controlling muscle forces for movement, learning to distinguish neural components and develop interventions to enhance movement capabilities.

• Coursera
• 12 weeks, 20 hours a week
• On-Demand
• Paid Course
• 3 courses