Courses tagged with "Nutrition" (6413)

This course is part of the Microsoft Professional Program Certificate in Big Data, and the Microsoft Professional Program Certificate in Data Science.

Excel is one of the most widely used solutions for analyzing and visualizing data. It now includes tools that enable the analysis of more data, with improved visualizations and more sophisticated business logics. In this data science course, you will get an introduction to the latest versions of these new tools in Excel 2016 from an expert on the Excel Product Team at Microsoft.

Learn how to import data from different sources, create mashups between data sources, and prepare data for analysis. After preparing the data, find out how business calculations can be expressed using the DAX calculation engine. See how the data can be visualized and shared to the Power BI cloud service, after which it can be used in dashboards, queried using plain English sentences, and even consumed on mobile devices.

Do you feel that the contents of this course is a bit too advanced for you and you need to fill some gaps in your Excel knowledge? Do you need a better understanding of how pivot tables, pivot charts and slicers work together, and help in creating dashboards? If so, check out DAT205x: Introduction to Data Analysis using Excel.

This course is also a part of the Microsoft Excel for the Data Analyst XSeries. 

This course is part of the Microsoft Professional Program Certificate in Big Data, and the Microsoft Professional Program Certificate in Data Science.

Power BI is quickly gaining popularity among professionals in data science as a cloud-based service that helps them easily visualize and share insights from their organizations’ data.

In this data science course, you will learn from the Power BI product team at Microsoft with a series of short, lecture-based videos, complete with demos, quizzes, and hands-on labs. You’ll walk through Power BI, end to end, starting from how to connect to and import your data, author reports using Power BI Desktop, and publish those reports to the Power BI service. Plus, learn to create dashboards and share with business users—on the web and on mobile devices.

In this computer science course, you will learn to build reports with SQL Server Reporting Services, which includes new visualization features and mobile capabilities. You will learn to create reporting solutions, mobile reports and dashboards.

Whether you're new to reporting services, or experienced with earlier versions, we'll show you how to build tables, matrices, advanced visualizations, and dashboards with key performance indicators. You'll design and deploy compelling, interactive reports for smartphones, tablets, and browsers.

By the end of the course, you'll have developed a complete reporting solution and be ready to analyze and visualize your own business data with SQL Server Reporting Services.

Note: To complete the hands-on elements in this course, you will require an Azure subscription. You can sign up for a free Azure trial subscription (a valid credit card is required for verification, but you will not be charged for Azure services). Note that the free trial is not available in all regions. It is possible to complete the course and earn a certificate without completing the hands-on practices.

This course is part of the Microsoft Professional Program Certificate in Big Data, and the Microsoft Professional Program Certificate in Data Science. 

The open-source programming language R has for a long time been popular (particularly in academia) for data processing and statistical analysis. Among R's strengths are that it's a succinct programming language and has an extensive repository of third party libraries for performing all kinds of analyses. Together, these two features make it possible for a data scientist to very quickly go from raw data to summaries, charts, and even full-blown reports. However, one deficiency with R is that traditionally it uses a lot of memory, both because it needs to load a copy of the data in its entirety as a data.frame object, and also because processing the data often involves making further copies (sometimes referred to as copy-on-modify). This is one of the reasons R has been more reluctantly received by industry compared to academia.

The main component of Microsoft R Server (MRS) is the RevoScaleR package, which is an R library that offers a set of functionalities for processing large datasets without having to load them all at once in the memory. RevoScaleR offers a rich set of distributed statistical and machine learning algorithms, which get added to over time. Finally, RevoScaleR also offers a mechanism by which we can take code that we developed on our laptop and deploy it on a remote server such as SQL Server or Spark (where the infrastructure is very different under the hood), with minimal effort.

In this course, we will show you how to use MRS to run an analysis on a large dataset and provide some examples of how to deploy it on a Spark cluster or a SQL Server database. Upon completion, you will know how to use R for big-data problems.

Since RevoScaleR is an R package, we assume that the course participants are familiar with R. A solid understanding of R data structures (vectors, matrices, lists, data frames, environments) is required. For example, students should be able to confidently tell the difference between a list and a data frame, or what each object is generally a good representation for and how to subset it. Students should be familiar with basic programming concepts such as control flows, loops, functions and scope. Students should have a good understanding of how to write and debug R functions. Finally, students are expected to have a good understanding of data manipulation and data processing in R (e.g. functions such as merge, transform, subset, cbind, rbind, lapply, apply). Familiarity with 3rd party packages such as dplyr is also helpful.

What does the future hold for global markets? How are societies and cultures evolving? Who will be global powers of the 21st century? Take this class and find out how global trends are transforming business and society.

The world is changing rapidly, but how do you begin to understand the effect of these changes on business and society? Learn to analyze the latest global trends so that you can adapt and cope with these changes in business and the world.

The new realities of the 21st century are disrupting the global financial architecture based on the U.S. dollar. Populations are aging. People are moving from the countryside to the cities. There are more people suffering from obesity than people who go hungry. The middle-class is growing fast in the emerging economies yet shrinking in Europe and the United States. The race for energy, natural resources, and food is intensifying.

You’ll learn about these and other global trends, and understand what the consequences are for markets, the business world, and society at large in this international management course from The Wharton School of the University of Pennsylvania. You’ll also learn how to analyze global trends, and to understand both their magnitude and relation to each other. Finally, you’ll discover how you can adapt and cope with these changes as they affect your business and society. 

This course teaches students how to understand the rationality behind how organizations and their programs behave, and to be comfortable and analytical with a live organization. It thereby builds analytic skills for evaluating programs and projects, organizations, and environments. It draws on the literature of the sociology of organizations, political science, public administration, and historical experience-and is based on both developing-country and developed-country experience.

Using publicly available data from NASA of actual satellite observations of astronomical x-ray sources, we explore some of the mysteries of the cosmos, including neutron stars, black holes, quasars and supernovae.

In this anatomy course you will explore the organs involved in our food digestion and discover the common causes of abdominal and pelvic pain. The latest graphics and animations will help us to find new insights and understanding of the part of the body, that has been the focus of anatomical research for centuries and presently arouses renewed scientific interest.

In this anatomy course, part of the Anatomy XSeries, you will explore the interactive relationships of the cardiovascular, respiratory and urinary systems, and the roles they play in your body.

This course is a primer for the cardiovascular, respiratory, and urinary systems in which students learn the pertinent details of the structures and functions through a combination of lectures, videos, labeling activities and quizzes.

In this anatomy course, part of the Anatomy XSeries, you’ll learn about the various digestive, endocrine, and reproductive organs, their functions, and pathways of nerves and blood vessels serving these organs. Clinical correlations and vignettes will be used to highlight the importance of these anatomical structures and their relationships. Images and videos from cadaveric and artistic materials will be used to illustrate these concepts.

In this anatomy course, part of the Anatomy XSeries, you will be introduced to the central and peripheral nervous systems. You will learn about basic neuroanatomy, sensory pathways, motor pathways and the autonomic nervous system.

The course includes illustrated lecture videos and quizzes to help you expand and test your knowledge of the nervous system.

By the end of this course, you will have a better understanding of how the entire body influences, and is influenced, by the nervous system.

In this anatomy course, part of the Anatomy XSeries, you will learn how the components of the integumentary system help protect our body (epidermis, dermis, hair, nails, and glands), and how the musculoskeletal system (bones, joints, and skeletal muscles) protects and allows the body to move.

You will engage with fascinating videos, lectures, and anatomical visual materials (illustrations and cadaveric images) to learn about these properties and functions.

Musculoskeletal AnatomyX invites students to join basic science and clinical faculty at Harvard Medical School (HMS) to learn about several musculoskeletal injuries commonly seen in clinical practice.

For each case, students visit the HMS Clinical Skills Center to observe the initial patient encounter and physical examination by an orthopedic surgeon. Following the patient encounter, students complete the interactive gross anatomy, histology and radiology learning sessions essential for understanding the case. The anatomy learning sessions include observing actual dissections in the Harvard Medical School anatomy laboratories revealing and explaining the human anatomy relevant for each clinical case.

After completing the case learning sessions, students review pertinent radiology images, commit to a tentative diagnosis from a list of differential diagnoses, and accompany the patient to a virtual operating room to observe the surgical treatment.  In the virtual operating room, students observe narrated videos of actual surgical procedures.

Clinical content for each case is developed in close collaboration with leading orthopedic surgeons and radiologists at Brigham and Women’s Hospital.

This course will contain videos, photographs, and other content, including anatomical images and videos showing cadaver dissection, that some people may find offensive, disturbing or inappropriate.

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This course provides a general introduction to the history of ancient Egypt, based on six key items selected from the collections of The Manchester Museum.

We will examine the role of Egyptian women and their positions as monarchs and goddesses, the invention of papyrus and Egypt’s first writings as well as ancient Egypt’s achievements in medicine. There will also be a brief summary of the famous architecture of ancient Egypt including pyramids, tombs and temples.

This course explores the relationship between ancient Greek philosophy and mathematics. We investigate how ideas of definition, reason, argument and proof, rationality / irrationality, number, quality and quantity, truth, and even the idea of an idea were shaped by the interplay of philosophic and mathematical inquiry. The course examines how discovery of the incommensurability of magnitudes challenged the Greek presumption that the cosmos is fully understandable. Students explore the influence of mathematics on ancient Greek ethical theories. We read such authors as: Euclid, Plato, Aristotle, Nicomachus, Theon of Smyrna, Bacon, Descartes, Dedekind, and Newton.

This course will acquaint the student with some of the ancient Greek contributions to the Western philosophical and scientific tradition. We will examine a broad range of central philosophical themes concerning: nature, law, justice, knowledge, virtue, happiness, and death. There will be a strong emphasis on analyses of arguments found in the texts.

Western philosophy and theoretical mathematics were born together, and the cross-fertilization of ideas in the two disciplines was continuously acknowledged throughout antiquity. In this course, we read works of ancient Greek philosophy and mathematics, and investigate the way in which ideas of definition, reason, argument and proof, rationality and irrationality, number, quality and quantity, truth, and even the idea of an idea were shaped by the interplay of philosophic and mathematical inquiry.

Western philosophy and theoretical mathematics were born together, and the cross-fertilization of ideas in the two disciplines was continuously acknowledged throughout antiquity. In this course, we read works of ancient Greek philosophy and mathematics, and investigate the way in which ideas of definition, reason, argument and proof, rationality and irrationality, number, quality and quantity, truth, and even the idea of an idea were shaped by the interplay of philosophic and mathematical inquiry.