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Kenhub provides extensive resources to guide you through the human anatomy with videos, quizzes, articles and an atlas.
- Subjects:
- Health Sciences and Medical Imaging
- Keywords:
- Human physiology -- Computer simulation Histology Human anatomy Diagnostic imaging
- Resource Type:
- Others
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Others
This Linux tutorial is divided into 13 sections. In general I recommend you work through them in order but if you've come here just to learn about a specific topic then feel free to just go straight to that one. You can now jump into section 1 and get started or keep reading below to learn a little more about this tutorial. 1.The Command Line - What is it, how does it work and how do I get to one. 2.Basic Navigation - An introduction to the Linux directory system and how to get around it. 3.More About Files - Find out some interesting characteristics of files and directories in a Linux environment. 4.Manual Pages - Learn how to make the most of the Linux commands you are learning. 5.File Manipulation - How to make, remove, rename, copy and move files and directories. 6.Vi Text Editor - Discover a powerful Linux based text editor. 7.Wildcards - Also referred to as globbing, this is a means to refer to several files in one go. 8.Permissions - Learn to identify and change the permissions of files and directories and what the consequences of these are. 9.Filters - An introduction to various commands that allow us to mangle data in interesting and useful ways. 10.Grep and Regular Expressions - Master a powerful pattern matching language that is useful for analysing and processing data. 11.Piping and Redirection - Join commands together in powerful combinations. 12.Process Management - See what is currently running on your Linux system and what state the system is in, learn how to kill programs that have hung and put jobs in the background. 13.Scripting - Be happy. Get the computer to do tedious and repetitive tasks for you. 14.Cheat Sheet - A quick reference for the main points covered in this tutorial.
- Subjects:
- Computing, Data Science and Artificial Intelligence
- Keywords:
- Linux Operating systems (Computers)
- Resource Type:
- Others
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Others
Each morning, wake up to a new 5-minute lesson delivered to your email inbox. Choose from 300+ topics. For example, Arts, Business, Coding, Computer Science, Health & Fitness, History, Languages, Philosophy,Photography,Productivity,Psychology,Science,Social Science, and Writing.
- Keywords:
- Internet in education
- Resource Type:
- Others
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Others
Welcome to Registered Nurse RN. Our mission is to help aspiring nurses, nursing students, and new nurses. Aspiring nurses can learn about the different types of nurses, education requirements, and nurse salary statistics. Nursing students can access care plan examples, nursing school study tips, NCLEX review lectures and quizzes, nursing skills, and more. New nurses can access job resources such as interview tips, nursing job resumes, and job search tools.
- Subjects:
- Nursing
- Keywords:
- Nursing students Nursing Nurses
- Resource Type:
- Others
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MOOC
These free online courses are also known as MOOCs (massive open online courses). MOOCs are short courses that are usually run free of charge by major learning providers to expand your knowledge of a particular academic topic or to help you develop a specific skill. They are free to take part in and are open to everyone regardless of age, education level and location.
- Course related:
- RS2270 Rehabilitation Psychology, RS3410 Enabling Occupation: Musculoskeletal Rehabilitation, and RS3310 A: Clinical Sciences in Psychiatric Conditions
- Subjects:
- Health Sciences, Nursing, and Rehabilitation Sciences
- Keywords:
- Developmental disabilities Psychology Health
- Resource Type:
- MOOC
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MOOC
Data science has critical applications across most industries, and is one of the most in-demand careers in computer science. Data scientists are the detectives of the big data era, responsible for unearthing valuable data insights through analysis of massive datasets. And just like a detective is responsible for finding clues, interpreting them, and ultimately arguing their case in court, the field of data science encompasses the entire data life cycle. That starts with capturing lots of raw data using data collection techniques, and then building and maintaining data pipelines and data warehouses that efficiently “clean” the data and make it accessible for analysis at scale. This data infrastructure allows data scientists to efficiently process datasets using data mining and data modeling skills, as well as analyze these outputs with sophisticated techniques like predictive analysis and qualitative analysis. Finally, these findings must be presented using data visualization and data reporting skills to help business decision makers. Depending on the size of the company, data scientists may be responsible for this entire data life cycle, or they might specialize in a particular portion of the life cycle as part of a larger data science team
- Subjects:
- Computing, Data Science and Artificial Intelligence
- Keywords:
- Big data Data mining Machine learning
- Resource Type:
- MOOC
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MOOC
The Elements of AI is a series of free online courses created by Reaktor and the University of Helsinki. We want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.
- Course related:
- COMP4431 Artificial Intelligence
- Subjects:
- Computing, Data Science and Artificial Intelligence
- Keywords:
- Artificial intelligence Machine learning
- Resource Type:
- MOOC
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MOOC
Master the building blocks of financial trading and investment over the course of 4 weeks. You will learn to trade with confidence by focusing on both the technical and fundamental aspects of trading/investment with our help and support throughout. You will learn what is required in order to successfully trade stocks, currency and commodity markets.
- Course related:
- AF3316 Investments
- Subjects:
- Finance
- Keywords:
- Securities -- Prices Investments Stocks Investment analysis
- Resource Type:
- MOOC
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e-book
This course was developed by the Centers for Disease Control and Prevention (CDC) as a self-study course. Students who successfully complete this course should be able to correctly: Describe key features and applications of descriptive and analytic epidemiology. Calculate and interpret ratios, proportions, incidence rates, mortality rates, prevalence, and years of potential life lost. Calculate and interpret mean, median, mode, ranges, variance, standard deviation, and confidence interval. Prepare and apply tables, graphs, and charts such as arithmetic-scale line, scatter diagram, pie chart, and box plot. Describe the processes, uses, and evaluation of public health surveillance. Describe the steps of an outbreak investigation.
- Course related:
- SN3303 Public Health and Infection Control
- Subjects:
- Public Health and Health Sciences
- Keywords:
- Biometry Epidemiology Public health
- Resource Type:
- e-book
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Others
Wolfram*Alpha brings expert-level knowledge and capabilities to the broadest possible range of people—spanning all professions and education levels. We work to accept completely free-form input, and to serve as a knowledge engine that generates powerful results and presents them with maximum clarity. Energetically developed for more than a decade, Wolfram*Alpha is an ambitious, long-term intellectual endeavor that we intend will deliver ever-increasing capabilities over the years to come. With a world-class team and participation from top outside experts in countless fields, we are constantly working to create what we hope will stand as a major milestone of 21st-century intellectual achievement. In this website, it covers the topics of calculus and analysis, differential equations, statistics, chemistry, engineering, computational sciences, earth sciences, language, finances
- Course related:
- AMA2308 Mathematics for Engineers, AMA1130 Calculus for Engineers, and AMA1110 Basic Mathematics I - Calculus and Statistical Probability
- Keywords:
- Lesson planning Statistics Web search engines
- Resource Type:
- Others