Coursera Data Science Specialization
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This document is a certificate of completion for the Data Science Specialization from Johns Hopkins University on Coursera. The specialization includes 10 courses covering topics like R programming, getting and cleaning data, exploratory data analysis, reproducible research, statistical inference, regression models, practical machine learning, developing data products, and a capstone. It provides an overview of the full data science pipeline and teaches skills for working with large datasets, statistical analysis, machine learning, and communicating results. This certificate does not confer academic credit but verifies completion of the online, non-credit specialization.
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Coursera Data Science Specialization
- 1. 10 Courses The Data Scientist’s Toolbox R Programming Getting and Cleaning Data Exploratory Data Analysis Reproducible Research Statistical Inference Regression Models Practical Machine Learning Developing Data Products Data Science Capstone Jeff Leek, PhD; Roger Peng, PhD; Brian Caffo, PhD Department of Biostatistics Johns Hopkins Bloomberg School of Public Health 12/23/2016 Gopala Krishna Chaitanya Yadavalli has successfully completed the online, non-credit Specialization Data Science The Data Science Specialization covers the concepts and tools for an entire data science pipeline. Successful participants learn how to use the tools of the trade, think analytically about complex problems, manage large data sets, deploy statistical principles, create visualizations, build and evaluate machine learning algorithms, publish reproducible analyses, and develop data products. This certificate does not confer academic credit toward a degree or official status at the Johns Hopkins University. Verify this certificate at: coursera.org/verify/specialization/ZSWWYHZ9MHRD