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دوراتنا
Data Science in Real Life
Have you ever had the perfect data science experience? The data pull went perfectly. There were no merging errors or missing data. Hypotheses were clearly defined prior to analyses. Randomization was performed for the treatment of interest. The analytic plan was outlined prior to analysis and followed exactly. The conclusions were clear and actionable decisions were obvious. Has that every happened to you? Of course not. Data analysis in real life is messy. How does one manage a team facing real data analyses? In this one-week course, we contrast the ideal with what happens in real life.
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Course by
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Self Paced
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7 ساعات
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الإنجليزية
Fundamental Neuroscience for Neuroimaging
Neuroimaging methods are used with increasing frequency in clinical practice and basic research. Designed for students and professionals, this course will introduce the basic principles of neuroimaging methods as applied to human subjects research and introduce the neuroscience concepts and terminology necessary for a basic understanding of neuroimaging applications.
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Course by
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Self Paced
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9 ساعات
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الإنجليزية
Genetics: The Fundamentals
How do we know what we know about heredity? Enhance your scientific thinking and experimental design skills with this in-depth adventure through genetics.
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Course by
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Self Paced
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الإنجليزية
Genetics: Analysis and Applications
How do we know what we know about heredity? Enhance your scientific thinking and experimental design skills with this in-depth adventure through genetics.
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Course by
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Self Paced
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الإنجليزية
Molecular Biology - Part 1: DNA Replication and Repair
An in-depth adventure through DNA replication and repair to strengthen your scientific thinking and experimental design skills.
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Course by
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Self Paced
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الإنجليزية
Molecular Biology - Part 2: Transcription and Transposition
Strengthen your scientific thinking and experimental design skills in this adventure through transcription and transposition.
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Course by
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Self Paced
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الإنجليزية
Neuroscience and Neuroimaging
This specialization combines the strength of 4 different neuroscience courses into a cohesive learning experience. Taught by Johns Hopkins University, it begins with fundamental neuroscience concepts for neuroimaging. Neuroimaging methods are used with increasing frequency in clinical practice and basic research.
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Course by
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Self Paced
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الإنجليزية
Statistical Modeling for Data Science Applications
Statistical modeling lies at the heart of data science. Well crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In this three credit sequence, learners will add some intermediate and advanced statistical modeling techniques to their data science toolkit. In particular, learners will become proficient in the theory and application of linear regression analysis; ANOVA and experimental design; and generalized linear and additive models.
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Course by
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Self Paced
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الإنجليزية
Google Advanced Data Analytics
Get professional training designed by Google and take the next step in your career with advanced data analytics skills. There are over 144,000 open jobs in advanced data analytics and the median salary for entry-level roles is $118,000.¹ Advanced data professionals are responsible for collecting, analyzing, and interpreting extremely large amounts of data.
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Course by
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Self Paced
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الإنجليزية
Design of Experiments
Learn modern experimental strategy, including factorial and fractional factorial experimental designs, designs for screening many factors, designs for optimization experiments, and designs for complex experiments such as those with hard-to-change factors and unusual responses. There is thorough coverage of modern data analysis techniques for experimental design, including software.
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Course by
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Self Paced
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الإنجليزية
Introduction to the Multiphase Optimization Strategy (MOST)
This course is aimed at intervention scientists working in any area--including public health, education, criminal justice, and others—interested in learning about an innovative framework for conducting intervention research.
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Course by
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Self Paced
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18 ساعات
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الإنجليزية
Introduction to High-Throughput Materials Development
This course is an introduction to high-throughput experimental methods that accelerate the discovery and development of new materials. It is well recognized that the discovery of new materials is the key to solving many technological problems faced by industry and society. These problems include energy production and utilization, carbon capture, tissue engineering, and sustainable materials production, among many others. This course will introduce the learner to a remarkable new approach to materials discovery and characterization: high-throughput materials development (HTMD).
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Course by
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Self Paced
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16 ساعات
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الإنجليزية
Principles of fMRI 1
Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public health researchers, biologists, and others are coming together to advance our understanding of the human mind and brain.
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Course by
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Self Paced
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8 ساعات
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الإنجليزية
ANOVA and Experimental Design
This second course in statistical modeling will introduce students to the study of the analysis of variance (ANOVA), analysis of covariance (ANCOVA), and experimental design. ANOVA and ANCOVA, presented as a type of linear regression model, will provide the mathematical basis for designing experiments for data science applications. Emphasis will be placed on important design-related concepts, such as randomization, blocking, factorial design, and causality.
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Course by
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Self Paced
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40 ساعات
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الإنجليزية
Science Literacy
Fake news or good science? In a world where we have access to unlimited information, it is hard to sift through the echo chamber of opinions fueled by emotions and personal biases, rather than scientific evidence. Science Literacy will teach you about the process of science, how to think critically, how to differentiate science from pseudoscience, how indigenous wisdom can inform science, how to understand and design a scientific study, and how to critically evaluate scientific communication in the media.
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Course by
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Self Paced
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23 ساعات
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الإنجليزية