Data Protection Courses

Genomic Data Science and Clustering (Bioinformatics V)

94 ratings at Coursera

Explore genomic data clustering techniques for gene expression analysis and human migration patterns. Learn algorithms for data point grouping and dimensionality reduction using principal components analysis.

• Coursera
• 9-10 hours
• Self-Paced
• Paid Course

Credential

Advanced Statistics for Data Science

797 ratings at Coursera

Comprehensive exploration of probability, statistics, and linear models for aspiring biostatisticians and data scientists. Covers mathematical foundations, hypothesis testing, regression, and R programming.

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

Healthcare Data Security, Privacy, and Compliance

465 ratings at Coursera

Explore healthcare data security, privacy, and compliance, focusing on HIPAA, data protection, encryption, cloud computing, and healthcare laws. Gain essential skills for Health IT Support roles.

• Coursera
• 5 hours 39 minutes
• Self-Paced
• Paid Course

Credential

Data Visualization & Dashboarding with R

450 ratings at Coursera

Develop expertise in creating static and interactive data visualizations using R, from basic plots to advanced techniques, and learn to publish them on the web for various audiences.

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

Credential

Differential Calculus through Data and Modeling

390 ratings at Coursera

Explore calculus through real-world data analysis and modeling. Learn to interpret and communicate results using scientific computing, covering topics from functions to differential equations and optimization.

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

Credential

Precalculus through Data and Modelling

321 ratings at Coursera

Develop mathematical modeling skills through functions and data analysis, preparing for scientific careers and advanced math courses. Applicable across various disciplines for real-world problem-solving.

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

Getting Started with Data Visualization in R

309 ratings at Coursera

Learn to create impactful data visualizations using R and tidyverse. Import data, manipulate it effectively, and produce simple reports with R Markdown. Ideal for beginners seeking practical skills in data visualization.

• Coursera
• 11 hours 44 minutes
• Self-Paced
• Paid Course

Credential

Data Literacy

267 ratings at Coursera

Develop critical skills in interpreting statistical results through descriptive statistics, data visualization, measurement, regression modeling, and probability, enhancing your ability to evaluate quantitative analyses.

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

The Data Science of Health Informatics

234 ratings at Coursera

By the end of this course, students will recognize the different types of health and healthcare data, will articulate a coherent and complete question, will interpret queries designed for secondary use of EHR data, and will interpret the results of those…

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

Calculus through Data & Modeling: Limits & Derivatives

209 ratings at Coursera

Explore limits and derivatives in calculus through data modeling, learning to analyze rates of change and apply mathematical concepts to real-world scenarios.

• Coursera
• 9 hours 36 minutes
• Self-Paced
• Paid Course

Clinical Trials Data Management and Quality Assurance

186 ratings at Coursera

Learn to manage clinical trial data, ensure quality, and maintain integrity through effective collection, organization, monitoring, and quality assurance practices for successful research outcomes.

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

Data – What It Is, What We Can Do With It

183 ratings at Coursera

Explore data analysis fundamentals, including theory development, causal inference, descriptive statistics, and data visualization. Gain essential tools for interpreting and evaluating data-driven insights across various fields.

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

Building Data Visualization Tools

158 ratings at Coursera

Develop skills to create custom visualization tools using ggplot2, focusing on new techniques for diverse data types and building blocks to address evolving data science needs.

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

Credential

Integral Calculus through Data and Modeling

142 ratings at Coursera

Develop integral calculus skills through data analysis, scientific computing, and mathematical modeling. Apply techniques to real-world problems in natural and social sciences.

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

Data Visualization in R with ggplot2

132 ratings at Coursera

Learn to create and refine powerful data visualizations using ggplot2 in R. Master the grammar of graphics, explore various plot types, and enhance your plots with advanced graphical elements.

• Coursera
• 12 hours 32 minutes
• Self-Paced
• Paid Course