Jeff Leek is an Assistant Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and co-editor of the Simply Statistics Blog. He received his Ph.D. in Biostatistics from the University of Washington and is recognized for his contributions to genomic data analysis and statistical methods for personalized medicine. His data analyses have helped us understand the molecular mechanisms behind brain development, stem cell self-renewal, and the immune response to major blunt force trauma. His work has appeared in the top scientific and medical journals Nature, Proceedings of the National Academy of Sciences, Genome Biology, and PLoS Medicine. He created Data Analysis as a component of the year-long statistical methods core sequence for Biostatistics students at Johns Hopkins. The course has won a teaching excellence award, voted on by the students at Johns Hopkins, every year Dr. Leek has taught the course.
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Embark on a journey into the world of data science with 'The Data Scientist's Toolbox'. This introductory course equips you with fundamental tools and ideas that are pivotal for any aspiring data analyst or scientist. Dive into understanding how data is transformed into knowledge, and get hands-on experience with version control, markdown, git, GitHub, R, and RStudio.
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Embark on a journey to master the fundamentals of data acquisition and cleaning with 'Getting and Cleaning Data'. This course is designed for those new to data science or professionals looking to refine their skills in collecting and preparing data for analysis. From web scraping to database management, you'll learn how to obtain data from multiple sources and transform it into a clean, usable format.
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Discover the secrets to making informed decisions based on data with our Statistical Inference course. Designed for those who want to understand how to draw reliable conclusions from their findings, this course covers a wide range of techniques and theories essential for effective analysis. From statistical modeling to data-oriented strategies, you'll gain valuable skills in interpreting and utilizing your research results.
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Explore the essential concepts and practical tools of Reproducible Research on Coursera. Master the art of publishing data analyses, ensuring others can verify findings and build upon them. Ideal for researchers, analysts, and anyone working with complex datasets.
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Discover the key methods of Exploratory Data Analysis (EDA) in this insightful online course offered by Coursera. Designed for beginners and professionals alike, this course will equip you with the skills to summarize data effectively, inform hypothesis development, and lay a strong foundation for advanced statistical modeling. Start your journey into the world of data analysis today!
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Dive into Regression Models, a crucial course for aspiring data scientists on Coursera. Explore linear assumptions, learn how to relate outcomes to predictors effectively using regression analysis, and understand the principles of least squares and statistical inference. This course is perfect for those looking to deepen their understanding of essential statistical tools.
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Discover how to transform raw data into valuable insights with Coursera's 'Developing Data Products' course. Designed for those who want to create automated analytical tools or enhance data-driven models, this course equips you with essential skills in utilizing Shiny, R packages, and interactive graphics to build impactful data products.
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Discover the essential skills needed for data science with our Practical Machine Learning course. Designed for beginners, this course will guide you through the basics of creating and implementing prediction models, focusing on real-world application and avoiding common pitfalls like overfitting and error rates.
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Explore the fascinating world of genomic technologies in this introductory course. Learn about DNA, RNA, epigenetic patterns, next-generation sequencing, and data analysis techniques that are revolutionizing biology and medicine.