List of Free Data Science Courses on Coursera – Coursera Free Certificate
Hey Students! Are you looking for some free data science courses to upskill yourself in Data Science? If yes then Coursera an E-learning platform has a wide range of Free Courses that can help you to learn Data Science. So, this article curated a list of Best Courses to Learn Data Science.
You will not be paying any single rupee/dollar for these courses. So stick around with this article and check out these Free Courses on Coursera for Data Science.
Find out the list of Free Data Science Courses on Coursera with Free Certificates:
DATA SCIENCE COURSES :
HERE ARE SOME BASIC, INTERMEDIATE, AND ADVANCED LEVEL DATA SCIENCE COURSES.
Course 1: Machine Learning by Stanford
Course 2: Introduction to StatisticS by Stanford
Course 3: Computational Neuroscience by University of Washington
Course 4: Foundations of Data Science: K-Means Clustering in Python by University of London
Course 5: Data Analytics for Lean Six Sigma by University of Amsterdam
Course 6: An Intuitive Introduction to Probability by University of Zurich
Course 7: Probability and Statistics: To p or not to p? by University of London
Course 8: Data Science Ethics by University of Michigan
Course 9: Data Visualization in Excel by Macquire University
Course 10: Practical Crowdsourcing for Efficient Machine Learning by Yandex
Course 11: Population Health: Responsible Data Analysis by Universityit Leiden
Course 12: Process Mining: Data science in Action by University of Eindhoven
Course 13: Bayesian Statistics: From Concept to Data Analysis by SANTA Cruz
Course 14: Practical Time Series Analysis by Suny Online
Course 15: Introduction to Embedded Machine Learning by EDGE Impulse
Course 16: Improving your statistical inferences by University of Eindhoven
Course 17: Data Science in Stratified Healthcare and Precision Medicine by University of Edinburg
Course 18: Machine Translation by Karlshure University
Course 19: Computer Vision with Embedded Machine Learning by Edge Impulse
Course 20: Experimentation for Improvement by MCmaster University
Course 21: Power and Sample Size for Multilevel and Longitudinal Study Designs by University of Florida
Course 22: Improving Your Statistical Questions by EINdhoven University of Technology
Course 23: Population Health: Predictive Analytics by UNiversiteIt Leindeit
COURSE 24 : Global Statistics – Composite Indices for International Comparisons BY geneve uNIVERSITY
COURSE 25 : Hands-on Text Mining and Analytics BY yoNSEI uNIVERSITY
COURSE 26 : Causal Inference BY Columbia University
COURSE 27 : Causal Inference 2 by Columbia University
COURSE 28 : Data Science: Foundations using R Specialization by Johns Hopkins
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