Health Data Analysis Courses

Fundamentals of Software Architecture for Big Data

92 ratings at Coursera

Aprende a construir y escalar sistemas distribuidos intensivos en datos, aplicando prácticas de ingeniería de software y microservicios. Ideal para profesionales y graduados recientes en ciencia de datos o informática.

• Coursera
• 20 hours 29 minutes
• Self-Paced
• Paid Course

Data Mining Methods

72 ratings at Coursera

Explore core data mining techniques including pattern analysis, classification, clustering, and outlier analysis. Learn advanced methods for complex data and discover research frontiers in the field.

• Coursera
• 1 day 25 minutes
• Self-Paced
• Paid Course

Ethical Issues in Data Science

51 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
• Self-Paced
• Paid Course

Fundamentals of Data Visualization

44 ratings at Coursera

Explore data visualization design, development, and evaluation. Learn to create effective visualizations, use exploratory tools, and craft data narratives through hands-on experience with user-centered design and web-based techniques.

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

Data Mining Project

33 ratings at Coursera

Gain hands-on experience designing and implementing a real-world data mining project, from problem formulation to evaluation and future work.

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

Data Driven Decision Making

31 ratings at Coursera

Learn statistical analysis techniques for data-driven decision making, including one and two sample tests, correlation, and ANOVA. Gain practical skills using RStudio and ROIStat for various data types and scenarios.

• Coursera
• 12 hours 19 minutes
• Self-Paced
• Paid Course

Cybersecurity for Data Science

31 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
• 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

Applications of Software Architecture for Big Data

19 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

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

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

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