Johns Hopkins University |
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A Crash Course in Data Science (Coursera) https://www.coursera.org/learn/data-science-course By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. The goal is to get you up to speed as quickly as possible on data science without all the fluff. We've designed this course to be as convenient a |
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A Public Health Approach to Hearing Loss and Aging (Coursera) https://www.coursera.org/learn/a-public-health-approach-to-hearing-loss-and-aging At the Johns Hopkins Cochlear Center for Hearing and Public Health, we are dedicated to training up the next generation of clinicians and researchers to study the impact that hearing loss in older adults has on public health and to develop and implement public health strategies and solutions for hearing loss. The Center is proud to present this course which introduces a public health approach to aging and hearing population-based research, reviews the state of public health policy and ongoing i |
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Advanced Data Visualization with R (Coursera) https://www.coursera.org/learn/jhu-advanced-data-visualization-r Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidatin |
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Advanced Linear Models for Data Science 1: Least Squares (Coursera) https://www.coursera.org/learn/linear-models Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: - A basic understanding of linear algebra and multivariate calculus. - A basic understanding of statistics and regression models. - At least a little familiarity with proof based mathematics. - Basic knowledge of the R programming language. After takin |
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Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera) https://www.coursera.org/learn/linear-models-2 Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: - A basic understanding of linear algebra and multivariate calculus. - A basic understanding of statistics and regression models. - At least a little familiarity with proof based mathematics. - Basic knowledge of the R programming language. |
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Advanced R Programming (Coursera) https://www.coursera.org/learn/advanced-r This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include functional programming in R, robust error handling, object oriented programming, profiling and benchmarking, debugging, and proper design of functions. Upon completing this course you will be able to identify and abstract common data analysis tasks and to encapsulate them in user-facing functions. Because every data science environment en |
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Advanced Statistics for Data Science (CourseraSpecs) https://www.coursera.org/specializations/advanced-statistics-data-science Offered by Johns Hopkins University. Familiarize yourself with fundamental concepts in probability and statistics, data analysis and linear ... |
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Algebra: Elementary to Advanced (CourseraSpecs) https://www.coursera.org/specializations/algebra-elementary-to-advanced Offered by Johns Hopkins University. Start your journey of Mathematics here. Master the fundamentals of Algebra |
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Algebra: Elementary to Advanced - Equations & Inequalities (Coursera) https://www.coursera.org/learn/algebra-i This course is intended for students looking to create a solid algebraic foundation of fundamental mathematical concepts from which to take more advanced courses that use concepts from precalculus, calculus, probability, and statistics. This course will help solidify your computational methods, review algebraic formulas and properties, and apply these concepts model real world situations. This course is for any student who will use algebraic skills in future mathematics courses. Topics include: |
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Algebra: Elementary to Advanced - Functions & Applications (Coursera) https://www.coursera.org/learn/algebra-ii After completing this course, students will learn how to successfully apply functions to model different data and real world occurrences. This course reviews the concept of a function and then provide multiple examples of common and uncommon types of functions used in a variety of disciplines. Formulas, domains, ranges, graphs, intercepts, and fundamental behavior are all analyzed using both algebraic and analytic techniques. From this core set of functions, new functions are created by arithme |
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Algebra: Elementary to Advanced - Polynomials and Roots (Coursera) https://www.coursera.org/learn/polynomials-roots This course is the final course in a three part algebra sequence, In this course, students extend their knowledge of more advanced functions, and apply and model them using both algebraic and geometric techniques. This course enables students to make logical deductions and arrive at reasonable conclusions. Such skills are crucial in today's world. Knowing how to analyze quantitative information for the purpose of making decisions, judgments, and predictions is essential for understanding many |
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Algorithms for DNA Sequencing (Coursera) https://www.coursera.org/learn/dna-sequencing We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets. |
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An Introduction to the U.S. Food System: Perspectives from Public Health (Coursera) https://www.coursera.org/learn/food-system A food system encompasses the activities, people and resources involved in getting food from field to plate. Along the way, it intersects with aspects of public health, equity and the environment. In this course, we will provide a brief introduction to the U.S. food system and how food production practices and what we choose to eat impacts the world in which we live. We will discuss some key historical and political factors that have helped shape the current food system and consider alternative |
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Application of Health Equity Research Methods for Practice and Policy (Coursera) https://www.coursera.org/learn/health-equity-research-methods Intended for students who have completed the introduction to health equity research course and/or have previous experience working in this area. This course will cover innovative methods, practical tools, and skills required to conduct rigorous health equity research and translate evidence-based strategies into practice and policy. Covers topics ranging from conceptual frameworks for stakeholder engagement and behavioral intervention development, to adapting interventions for socially-at-risk po |
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Applied Calculus with Python (Coursera) https://www.coursera.org/learn/applied-calculus-with-python This course is designed for the Python programmer who wants to develop the foundations of Calculus to help solve challenging problems as well as the student of mathematics looking to learn the theory and numerical techniques of applied calculus implemented in Python. By the end of this course, you will have learned how to apply essential calculus concepts to develop robust Python applications that solve a variety of real-world challenges. Video lectures, readings, worked examples, assessments, |
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Artificial Intelligence for Breast Cancer Detection (Coursera) https://www.coursera.org/learn/artificial-intelligence-for-breast-cancer-detection The objective of this course is to provide students the knowledge of artificial intelligence processing approaches to breast cancer detection. Students will take quizzes and participate in discussion sessions to reinforce critical concepts conveyed in the modules. Reading assignments, including journal papers to understand the topics in the modules, will be provided. The course is designed for students who are interested in the career of product development using artificial intelligence and wo |
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Beginning Custom Projects with Raspberry Pi (Coursera) https://www.coursera.org/learn/beginning-custom-projects-with-raspberry-pi In this course you will use a Raspberry Pi 4 to build a complete network-connected project with sensors and motors and access it from your smartphone. We'll explore all the parts which make this work, so you can use this experience as a foundation for your own projects. We'll use the Raspberry Pi as an "embedded system" (as opposed to a desktop computer) so you're ready to build a Raspberry Pi into your projects as the brains that make it all work. Want to build your own Internet of Things (IoT) |
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Bioconductor for Genomic Data Science (Coursera) https://www.coursera.org/learn/bioconductor Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University. |
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Biostatistics in Public Health (CourseraSpecs) https://www.coursera.org/specializations/biostatistics-public-health Offered by Johns Hopkins University. Build Statistical Skills for Biological Sciences. Master the tools and methods you need to analyze, ... |
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Black Agricultural Solutions to Food Apartheid: A Teach-Out (Coursera) https://www.coursera.org/learn/black-agricultural-solutions Black Agricultural Solutions to Food Apartheid is a series where we dive deep into the historical, ancestral, and spiritual connections that Black people have to land and agriculture. Throughout this course, we encourage participants to learn about their ancestral foodways, agrarian practices, and spiritual connections. These sessions share wisdom and highlight the importance of food sovereignty, rebuilding community, and land based living. Participants will gain a deeper understanding of the |
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https://www.coursera.org/learn/black-lives-matter The #BlackLivesMatter movement is the most significant political movement in African American life in the United States in the last fifty years. BLM leaders denounced anti-black racism, white supremacy, and police brutality and reshaped how we think about gender, sexuality, social justice, economic injustice, and crime. The movement is grounded in a long history of African American activism. From slave revolts to the Black Panther Party, from the founding of the Congressional Black Caucus, to th |
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Building a Data Science Team (Coursera) https://www.coursera.org/learn/build-data-science-team Data science is a team sport. As a data science executive it is your job to recruit, organize, and manage the team to success. In this one-week course, we will cover how you can find the right people to fill out your data science team, how to organize them to give them the best chance to feel empowered and successful, and how to manage your team as it grows. This is a focused course designed to rapidly get you up to speed on the process of building and managing a data science team. Our goal wa |
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Building Data Visualization Tools (Coursera) https://www.coursera.org/learn/r-data-visualization The data science revolution has produced reams of new data from a wide variety of new sources. These new datasets are being used to answer new questions in way never before conceived. Visualization remains one of the most powerful ways draw conclusions from data, but the influx of new data types requires the development of new visualization techniques and building blocks. This course provides you with the skills for creating those new visualization building blocks. We focus on the ggplot2 framew |
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Building R Packages (Coursera) https://www.coursera.org/learn/r-packages Writing good code for data science is only part of the job. In order to maximizing the usefulness and reusability of data science software, code must be organized and distributed in a manner that adheres to community-based standards and provides a good user experience. This course covers the primary means by which R software is organized and distributed to others. We cover R package development, writing good documentation and vignettes, writing robust software, cross-platform development, contin |
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Business Analytics with Excel: Elementary to Advanced (Coursera) https://www.coursera.org/learn/business-analytics-excel A leader in a data driven world requires the knowledge of both data-related (statistical) methods and of appropriate models to use that data. This Business Analytics class focuses on the latter: it introduces students to analytical frameworks used for decision making though Excel modeling. These include Linear and Integer Optimization, Decision Analysis, and Risk modeling. For each methodology students are first exposed to the basic mechanics, and then apply the methodology to real-world busines |
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Calculus through Data & Modeling: Applying Differentiation (Coursera) https://www.coursera.org/learn/calculus-through-data-and-modelling-applying-differentiation As rates of change, derivatives give us information about the shape of a graph. In this course, we will apply the derivative to find linear approximations for single-variable and multi-variable functions. This gives us a straightforward way to estimate functions that may be complicated or difficult to evaluate. We will also use the derivative to locate the maximum and minimum values of a function. These optimization techniques are important for all fields, including the natural sciences and data |
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Calculus through Data & Modeling: Differentiation Rules (Coursera) https://www.coursera.org/learn/calculus-through-data-and-modelling-differentiation-rules Calculus through Data & Modeling: Differentiation Rules continues the study of differentiable calculus by developing new rules for finding derivatives without having to use the limit definition directly. These differentiation rules will enable the calculation of rates of change with relative ease the derivatives of polynomials, rational functions, algebraic functions, exponential and logarithmic functions, and trigonometric and inverse trigonometric functions. Once these rules are developed, |
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Calculus through Data & Modeling: Limits & Derivatives (Coursera) https://www.coursera.org/learn/calculus-through-data-and-modelling-imits-derivatives This first course on concepts of single variable calculus will introduce the notions of limits of a function to define the derivative of a function. In mathematics, the derivative measures the sensitivity to change of the function. For example, the derivative of the position of a moving object with respect to time is the object's velocity: this measures how quickly the position of the object changes when time advances. This fundamental notion will be applied through the modelling and analysis of |
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Calculus through Data & Modeling: Precalculus Review (Coursera) https://www.coursera.org/learn/calculus-through-data-and-modelling-precalculus-review This course is an applications-oriented, investigative approach to the study of the mathematical topics needed for further coursework in single and multivariable calculus. The unifying theme is the study of functions, including polynomial, rational, exponential, logarithmic, and trigonometric functions. An emphasis is placed on using these functions to model and analyze data. Graphing calculators and/or the computer will be used as an integral part of the course. |
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Calculus through Data & Modelling: Integration Applications (Coursera) https://www.coursera.org/learn/calculus-through-data-and-modelling-integration-applications This course continues your study of calculus by focusing on the applications of integration. The applications in this section have many common features. First, each is an example of a quantity that is computed by evaluating a definite integral. Second, the formula for that application is derived from Riemann sums. Rather than measure rates of change as we did with differential calculus, the definite integral allows us to measure the accumulation of a quantity over some interval of input val |
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Calculus through Data & Modelling: Series and Integration (Coursera) https://www.coursera.org/learn/calculus-through-data-and-modelling-series-and-integrals This course continues your study of calculus by introducing the notions of series, sequences, and integration. These foundational tools allow us to develop the theory and applications of the second major tool of calculus: the integral. Rather than measure rates of change, the integral provides a means for measuring the accumulation of a quantity over some interval of input values. This notion of accumulation can be applied to different quantities, including money, populations, weight, area, v |
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Calculus through Data & Modelling: Techniques of Integration (Coursera) https://www.coursera.org/learn/calculus-through-data-and-modelling-techniques-of-integration In this course, we build on previously defined notions of the integral of a single-variable function over an interval. Now, we will extend our understanding of integrals to work with functions of more than one variable. First, we will learn how to integrate a real-valued multivariable function over different regions in the plane. Then, we will introduce vector functions, which assigns a point to a vector. This will prepare us for our final course in the specialization on vector calculus. Finally |
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Calculus through Data & Modelling: Vector Calculus (Coursera) https://www.coursera.org/learn/calculus-through-data-and-modelling-vector-calculus This course continues your study of calculus by focusing on the applications of integration to vector valued functions, or vector fields. These are functions that assign vectors to points in space, allowing us to develop advanced theories to then apply to real-world problems. We define line integrals, which can be used to fund the work done by a vector field. We culminate this course with Green's Theorem, which describes the relationship between certain kinds of line integrals on closed paths |
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Cancer Biology (CourseraSpecs) https://www.coursera.org/specializations/cancer-biology Offered by Johns Hopkins University. Learn essential skills in cancer biology, cancer metastasis, and prostate cancer, that will enable you ... |
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Chemicals and Health (Coursera) https://www.coursera.org/learn/chemicals-health This course covers chemicals in our environment and in our bodies and how they impact our health. It addresses policies and practices related to chemicals, particularly related to how they get into our bodies (exposures), what they do when they get there (toxicology), how we measure them (biomonitoring) and their impact on our health. Most examples are drawn from the US. |
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Clinical Trials Analysis, Monitoring, and Presentation (Coursera) https://www.coursera.org/learn/clinical-trials-analysis-presentation-statistical-monitoring In this course, you’ll learn more advanced operational skills that you and your team need to run a successful clinical trial. You’ll learn about the computation of sample size and how to develop a sample size calculation that’s suitable for your trial design and outcome measures. You’ll also learn to use statistical methods to monitor your trial for safety, integrity, and efficacy. Next, you’ll learn how to report the results from your clinical trials through both journal articles and data monit |
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Clinical Trials Data Management and Quality Assurance (Coursera) https://www.coursera.org/learn/clinical-trials-data-collection-management-quality-assurance In this course, you’ll learn to collect and care for the data gathered during your trial and how to prevent mistakes and errors through quality assurance practices. Clinical trials generate an enormous amount of data, so you and your team must plan carefully by choosing the right collection instruments, systems, and measures to protect the integrity of your trial data. You’ll learn how to assemble, clean, and de-identify your datasets. Finally, you’ll learn to find and correct deficiencies throu |
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Clinical Trials Management and Advanced Operations (Coursera) https://www.coursera.org/learn/clinical-trials-management-and-advanced-operations In this course, you’ll learn about the more advanced elements of managing clinical trials. From anticipating and planning for protocol events to conducting systematic reviews to synthesize evidence, you and your study team need the skills to implement best practices throughout the trial process. You’ll learn how to recognize and respond to problems and adverse events, comply with regulations, and participate in frameworks that promote transparency. You’ll also learn how systematic review and met |
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Clinical Trials Operations (CourseraSpecs) https://www.coursera.org/specializations/clinical-trials-operations Offered by Johns Hopkins University. Design and Conduct Successful Clinical Trials. Build skills for conducting successful and impactful ... |
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Command Line Tools for Genomic Data Science (Coursera) https://www.coursera.org/learn/genomic-tools Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University. |
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Community Change in Public Health (Coursera) https://www.coursera.org/learn/community-public-health In bringing about behavior change in public health, we often focus on the individual mother, student, or farmer. We should not forget the community structure and norms constrain for encouraging individual health behaviors. This course examines the community context of the changes needed to promote the public’s health. We begin by examining the various definitions of ‘community’ and the processes by which we ‘diagnose’ or seek to understand the structure and characteristics of different types of |
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Confronting Gender Based Violence: Global Lessons for Healthcare Workers (Coursera) https://www.coursera.org/learn/gender-based-violence This course introduces participants from the healthcare sector to gender based violence (GBV), including global epidemiology of GBV; health outcomes; seminal research; and clinical best practices for GBV prevention, support, and management. A core curriculum is supplemented by lectures that contextualize the content with specific examples and programs from around the world. The core curriculum introduces learners to a global perspective on gender based violence (GBV), and includes a review with |
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COVID Vaccine Ambassador Training: How to Talk to Parents (Coursera) https://www.coursera.org/learn/covid-vaccine-ambassador Vaccination is a key strategy for preventing serious illness and death from COVID-19. COVID-19 vaccines are available for children 5 and older, but many parents have questions about vaccinations. This training course prepares parents of school-age children, PTAs, community members, and school staff to be Vaccine Ambassadors and promote vaccine acceptance in their communities. After completing the course, Vaccine Ambassadors will be able to share knowledge about COVID-19 and the COVID-19 vaccine, |
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COVID-19 Contact Tracing (Coursera) https://www.coursera.org/learn/covid-19-contact-tracing The COVID-19 crisis has created an unprecedented need for contact tracing across the country, requiring thousands of people to learn key skills quickly. The job qualifications for contact tracing positions differ throughout the country and the world, with some new positions open to individuals with a high school diploma or equivalent. In this introductory course, students will learn about the science of SARS-CoV-2 , including the infectious period, the clinical presentation of COVID-19, and th |
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Culminating Project in Health Informatics (Coursera) https://www.coursera.org/learn/culminating-project-course-in-health-informatics This capstone course in the Health Informatics Specialization will allow learners to create a comprehensive plan for an informatics intervention of their choosing, and that will demonstrate to current or future employers the new skills obtained through the completion of this series of five courses in Health Informatics. |
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Data and Health Indicators in Public Health Practice (Coursera) https://www.coursera.org/learn/data-public-health Epidemiology is often described as the cornerstone science in public health. Epidemiology in public health practice uses study design and analyses to identify causes in an outbreak situation, guides interventions to improve population health, and evaluates programs and policies. In this course, we'll define the role of the professional epidemiologist as it relates to public health services, functions, and competencies. With that foundation in mind, we'll introduce you to the problem solving met |
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https://www.coursera.org/specializations/data-literacy Offered by Johns Hopkins University. Become a Data-driven Leader. Master the Fundamentals of Interpreting Data |
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https://www.coursera.org/specializations/jhu-data-science Offered by Johns Hopkins University. Launch Your Career in Data Science. A ten-course introduction to data science, developed and taught by ... |
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Data Science in Real Life (Coursera) https://www.coursera.org/learn/real-life-data-science 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 |
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Data Science: Foundations using R (CourseraSpecs) https://www.coursera.org/specializations/data-science-foundations-r Offered by Johns Hopkins University. |