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Learn Data Science, earn certificates with paid and free online courses from Harvard, Stanford, MIT, University of Pennsylvania and other top universities around the world. Read reviews to decide if a class is right for you.
We've picked the best online courses to learn Data Science from the Class Central catalog.
Some courses are practical and interactive while others are more comprehensive.
Learn the essential tools and concepts used by data scientists to turn data into actionable knowledge. Offered by Johns Hopkins University.
Learn to program in R and use it for data analysis. Covers installation, configuration, programming concepts, and statistical data analysis. 4 weeks. Johns Hopkins University.
Explore the intersection of technology and society with this 26-week course from UC Davis. Learn to use computational tools to understand human behavior, study digital footprints, and simulate hypothetical scenarios.
Learn the fundamentals of Qualitative Research Methods, developing a qualitative research question and get data using interviews, focus groups and analyse the data in this course by Yale University
Through inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life.
Deliver faster, higher quality, and fault-tolerant products regardless of industry using the latest in Agile, DevOps, and Data Science.
Learn how to obtain and clean data from various sources, including the web, APIs, and databases. Discover the importance of tidy data and gain the skills needed for collecting, cleaning, and sharing data. Offered by Johns Hopkins University.
En este curso, aprenderás los conceptos generales de la ciencia de datos utilizando el lenguaje de programación Python. Serás capaz de recolectar contenido en la web, limpiar los datos y prepararlos para su visualización y gestión.
Learn to navigate digital transformation in organizations with this 4-week course from the University System of Maryland. Gain skills in data analysis, machine learning, and strategic decision-making.
Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.
Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference -- Part of the MITx MicroMasters program in Statistics and Data Science.
MIT's 9-week course on computational thinking and data science. Learn Python programming, dynamic programming, Monte Carlo simulations, and more. Requires 14-16 hours/week.
The course is based on the text Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, and Jeff Ullman, who by coincidence are also the instructors for the course.