Health Data Analysis Courses

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

Statistics and Data Analysis with Excel, Part 2

10 ratings at Coursera

Explore advanced statistical techniques using Excel, including hypothesis testing, regression analysis, and ANOVA. Build on foundational concepts to enhance data analysis skills.

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

Network Analysis for Marketing Analytics

Explore network analysis for marketing data, covering text datasets and social networks. Learn key concepts, data structures, and visualization techniques through Python tutorials and a hands-on project.

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

Degree

Master of Science in Data Science

An interdisciplinary, applied data science master’s degree with performance-based admissions and no application process.

• Coursera
• Self-Paced
• Paid Course
• 17 courses

Data Analysis with Python Project

Comprehensive exploration of data analysis techniques, from classification to outlier detection, empowering learners to conduct real-world projects and make data-driven decisions.

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

Data Wrangling with Python Project

Apply data wrangling techniques to transform raw data into a refined dataset ready for analysis. Gain hands-on experience in identifying sources, collecting, integrating, and processing data for real-world challenges.

• Coursera
• 1 day 1 hour 41 minutes
• Self-Paced
• Paid Course

Classification Analysis

Explore key classification algorithms, their applications, and evaluation methods. Gain hands-on experience through tutorials and case studies to solve real-world data analysis problems.

• Coursera
• 1 day 14 hours 14 minutes
• Self-Paced
• Paid Course

Data Processing and Manipulation

Learn essential data processing techniques: handling missing values, detecting outliers, sampling, dimension reduction, scaling, discretization, and using data cubes and pivot tables for efficient analysis and decision-making.

• Coursera
• 1 day 4 hours 43 minutes
• Self-Paced
• Paid Course

Data Understanding and Visualization

Learn essential statistical concepts and data visualization techniques using Pandas, Matplotlib, and Seaborn to effectively analyze, interpret, and communicate insights from datasets through compelling visualizations.

• Coursera
• 1 day 1 hour 13 minutes
• Self-Paced
• Paid Course

Engineering Genetic Circuits: Modeling and Analysis

Learn to model, simulate, and analyze genetic circuits using SBML, ODEs, and stochastic methods. Explore advanced algorithms and apply computational analysis for optimal genetic circuit design.

• Coursera
• 1 day 52 minutes
• Self-Paced
• Paid Course

Data Acquisition, Risk, and Estimation

Learn data acquisition planning, estimation techniques, and risk reduction for capital investments using sampling, hypothesis testing, and ROI calculations.

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

Global Climate Change Policies and Analysis

Explore climate policies, energy sources, and analysis technologies. Gain insights into global climate governance, focusing on developing countries and contemporary challenges.

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

Modeling Climate Anomalies with Statistical Analysis

Learn to model climate data using statistical analysis in Python, covering data visualization, predictive modeling, and regression techniques with emphasis on practical application to climate datasets.

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

Introduction to Bayesian Statistics for Data Science

Explore the theoretical foundations of Bayesian statistics and apply them to data science problems, covering probability theory, Bayes' theorem, prior distributions, practical applications, and ethical considerations.

• Coursera
• 1 day 13 hours 29 minutes
• Self-Paced
• Paid Course

BiteSize Python for Absolute Beginners: Data Structures

Master Python's core data structures through hands-on exploration of lists, tuples, sets, and dictionaries, culminating in practical case studies for efficient data manipulation and problem-solving.

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