Data Science Courses and Certifications

Credential

Data Science Fundamentals

264 ratings at Coursera

Demystify data science through key skills, techniques, and concepts. Explore analytics, statistical modeling, data engineering, big data manipulation, and data mining algorithms.

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

Advanced Linear Models for Data Science 2: Statistical Linear Models

108 ratings at Coursera

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

Credential

More Applied Data Science with Python

19 ratings at Coursera

Master advanced Python data analysis techniques including data mining, clustering, network modeling, and information extraction using real-world datasets and machine learning libraries.

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

Credential

Data Science for Health Research

13 ratings at Coursera

Learn to organize, visualize, and analyze health data using R for statistical modeling, linear regression, and logistic regression to make data-informed decisions in public health.

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

Code Free Data Science

216 ratings at Coursera

Gain essential data science skills using KNIME Analytics Platform. Learn predictive modeling, data manipulation, and machine learning without coding. Apply algorithms to real data and interpret results.

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

Data Science Decisions in Time: Using Data Effectively

Learn to make optimal decisions using data streams, from simple to complex, covering Wald's model, Thompson sampling, change points, Markov chains, and Markov decision processes for effective data analysis and decision-making.

• Coursera
• 1 day 1 hour 10 minutes
• Self-Paced
• Paid Course

Credential

Data Science Decisions in Time

Learn to make confident, data-driven decisions in streaming applications through four courses covering sequential decisions, hypothesis testing, information theory, and causal inference.

• Coursera
• 12 weeks, 15 hours/week
• Self-Paced
• Paid Course
• 4 courses

Data Science Decisions in Time:Sequential Hypothesis Testing

Explore sequential hypothesis testing for data-driven decision-making, from Chernoff's landmark paper to modern applications in pricing, healthcare, and image analysis.

• Coursera
• 1 day 12 minutes
• Self-Paced
• Paid Course

Goldsmiths University of London;  University of London

Foundations of Data Science: K-Means Clustering in Python

735 ratings at Coursera

Learn essential data science concepts, focusing on K-means clustering in Python. Develop mathematical, statistical, and programming skills through hands-on exercises and a practical data clustering project.

• Coursera
• 1 day 5 hours 8 minutes
• Self-Paced
• Paid Course

Data Science in Stratified Healthcare and Precision Medicine

341 ratings at Coursera

Explore data science in biomedicine, from genomics to wearables. Learn computational methods for precision medicine, including sequence processing, image analysis, and machine learning. Gain hands-on experience with real-world data and case studies.

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

Data Science Certificate (Live Online)

686 ratings at CourseHorse

Become an expert in data manipulation, analysis, and machine learning using Python in this comprehensive program.

• CourseHorse
• Self-Paced
• $3,995.00

Communicating Data Science Results

142 ratings at Coursera

Explore data visualization, ethics in big data, and reproducible research using cloud computing. Learn to effectively communicate findings, address privacy concerns, and leverage technology for impactful data science.

• Coursera
• 7 hours 55 minutes
• Self-Paced
• Paid Course

Spatial Data Science and Applications

532 ratings at Coursera

Explore spatial data science through GIS, DBMS, analytics, and big data systems. Learn key concepts, open-source tools, and real-world applications to differentiate your expertise in this growing field.

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

Introduction to R Programming for Data Science

615 ratings at Coursera

Learn R programming essentials for data science: data types, manipulation techniques, and fundamental tasks. Gain practical skills through hands-on exercises using RStudio and Jupyter notebooks for data analysis.

• Coursera
• 11 hours 38 minutes
• Self-Paced
• Paid Course

Fractal Analytics Credential

Fractal Data Science

578 ratings at Coursera

Master Python, machine learning, data manipulation, and decision-making skills. Learn SQL, PowerBI, and real-world applications. Gain a problem-solving approach to data science and prepare for high-demand career opportunities.

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