Data Analysis Courses and Certifications

Career Certificate

Understanding Data: Navigating Statistics, Science, and AI

Develop data literacy skills to critically evaluate statistics, scientific research, and AI claims. Enhance decision-making abilities and learn to support perspectives with quality information.

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

Career Certificate

Creative Coding: Hands-On Python

Unleash your creativity through Python programming, from basic concepts to advanced data analysis, while developing essential debugging skills and object-oriented programming techniques.

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

Decoding AI: A Deep Dive into AI Models and Predictions

Explore AI's fundamentals, debunk myths, and gain strategies for meaningful discussions about its societal impact. Develop critical thinking skills to navigate AI's role in various fields.

• Coursera
• 10 hours 4 minutes
• Self-Paced
• Paid Course

How Science Turns Data Into Knowledge

Evaluate scientific claims, understand research methods, and interpret statistical results critically. Gain skills to analyze science news and develop a nuanced perspective on data and information.

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

Network Modeling and Analysis in Python

Explore network analysis using Python's NetworkX to understand complex systems, disease spread, and social media information flow through advanced algorithms and real-world applications.

• Coursera
• 1 day 5 hours 48 minutes
• Self-Paced
• Paid Course

Answering Interesting Questions with Data

Learn to scrape, manage, and visualize data from the internet using Python, SQL, and various tools. Develop skills to answer complex questions through effective data analysis and representation.

• Coursera
• 1 day 5 hours 32 minutes
• Self-Paced
• Paid Course

Python Debugging Capstone Project: Fixing and Extending Code

Master debugging and extending Python code using NumPy, pandas, and SciPy while applying the OILER framework to analyze complex datasets and create clean, maintainable documentation.

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

Data Science Projects: Data Analysis, ML, and Deployment

318 ratings at Udemy

Hands-On Data Science Projects: Streamlit & FastAPI for Real-World ML Model Deployment and Visualization

• Udemy
• 2 hours
• Self-Paced
• Paid Course

Career Certificate

Epidemiology in Public Health Practice

1 rating

Learn essential epidemiologic tools, data analysis, surveillance systems, and outbreak investigation techniques to enhance public health practice and make a meaningful impact on population health.

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

Advanced Linear Models for Data Science 2: Statistical Linear Models

1 rating

Explore advanced linear algebra and statistical concepts for regression modeling, enhancing your understanding of least squares, multivariate distributions, and residual analysis.

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

Simple Regression Analysis in Public Health

1 rating

Learn to apply simple regression methods in public health, including linear, logistic, and Cox regression. Practice interpreting data and performing calculations using real-world examples.

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

Career Certificate

Social Computing

1 rating

Master social computing techniques to analyze networks, develop chatbots, optimize AI with crowdsourcing, and solve real-world problems using advanced tools and methodologies.

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

Qualitative Research

477 ratings at Coursera

Explore qualitative research methods, from design to analysis. Learn to create research instruments, recruit participants, conduct focus groups, and interpret data for effective market research.

• Coursera
• 14 hours 41 minutes
• Self-Paced
• Paid Course

Human Resources Analytics

1 rating

This course focuses on identifying effective data sources, developing meaningful metrics, designing long-term measures, and applying results in support of organizational strategy and tactics.

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

The Social and Technical Context of Health Informatics

Explore health informatics across patient, provider, and population contexts. Learn to assess health IT problems, understand socio-technical factors, and navigate the complexities of healthcare innovation.

• Coursera
• 9 hours 27 minutes
• Self-Paced
• Paid Course