Health Data Analysis Courses

Career Certificate

Statistical Learning for Data Science

23 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/week
• Self-Paced
• Paid Course
• 3 courses

Real-Time Embedded Systems Theory and Analysis

20 ratings at Coursera

In-depth exploration of real-time embedded systems scheduling theories, including rate monotonic and dynamic priority policies, with practical implementation on Linux using POSIX extensions and Raspberry Pi.

• Coursera
• 2 days 14 hours 11 minutes
• Self-Paced
• Paid Course

Applications of Software Architecture for Big Data

20 ratings at Coursera

Develop production-ready distributed systems for big data, applying software engineering principles to create loosely coupled, highly cohesive applications with scalable features.

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

Fundamental Tools of Data Wrangling

21 ratings at Coursera

Learn essential data wrangling tools: Python, data structures, NumPy, and pandas. Gain hands-on experience in manipulating, cleaning, and analyzing data for effective preparation and valuable insights.

• Coursera
• 1 day 2 hours 42 minutes
• Self-Paced
• Paid Course

Health, Society, and Wellness in COVID-19 Times

18 ratings at Coursera

Explore perspectives on disease, society, systemic racism, and wellness during COVID-19. Learn skills for navigating health crises, remote learning, and fostering community well-being through interdisciplinary approaches.

• Coursera
• 2 days 4 hours 50 minutes
• Self-Paced
• Paid Course

Data Collection and Integration

16 ratings at Coursera

Comprehensive techniques for gathering and integrating data from diverse sources, emphasizing practical experience with tools like Pandas, Beautiful Soup, and SQL to handle real-life datasets.

• Coursera
• 1 day 4 hours 8 minutes
• Self-Paced
• Paid Course

Career Certificate

Data Visualization & Analytics in Tableau

17 ratings at Coursera

Master data visualization with Tableau, learning to create effective visualizations, dashboards, and stories that transform complex data into clear insights, enhancing your analytics skills and marketability.

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

Defining, Describing, and Visualizing Data

15 ratings at Coursera

Learn to analyze and visualize data effectively, using tools like RStudio and ROIStat to make informed decisions and solve problems in engineering and technical fields.

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

Object-Oriented Analysis and Design: Foundations & Concepts

15 ratings at Coursera

Explore object-oriented analysis and design fundamentals, UML modeling, and testing strategies for complex software systems. Apply concepts in hands-on projects using Java and JUnit.

• Coursera
• 21 hours 24 minutes
• Self-Paced
• Paid Course

Data Analysis with Tidyverse

13 ratings at Coursera

Learn to analyze data using R's Tidyverse: import, tidy, manipulate relational data, work with strings and categorical variables. Gain practical skills for effective data analysis and visualization.

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

Association Rules Analysis

12 ratings at Coursera

Explore unsupervised learning with association rules and outlier detection. Learn frequent patterns, Apriori algorithms, and outlier analysis techniques through hands-on tutorials and real-world case studies.

• Coursera
• 22 hours 56 minutes
• Self-Paced
• Paid Course

Measurement Systems Analysis

10 ratings at Coursera

Analyze measurement systems for process stability and capability, covering continuous and discrete data analysis, ANOVA, correlation, and decision-making for process improvement using R software.

• Coursera
• 16 hours 56 minutes
• Self-Paced
• Paid Course

Market Research and Analysis for Tech Industries

11 ratings at Coursera

Learn market research techniques for tech industries, including consumer behavior, B2B markets, and data-driven strategies to align innovative products with critical customer needs.

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

Clustering Analysis

11 ratings at Coursera

Explore unsupervised learning techniques, including clustering methods and dimension reduction, to uncover patterns and insights in diverse datasets through hands-on tutorials and case studies.

• Coursera
• 1 day 13 hours 2 minutes
• Self-Paced
• Paid Course

Regression Analysis

10 ratings at Coursera

Master regression analysis techniques to model relationships, prevent overfitting, and make data-driven decisions. Explore linear and polynomial regression, regularization, cross-validation, and ensemble methods through hands-on practice.

• Coursera
• 1 day 16 hours 1 minute
• Self-Paced
• Paid Course