Online courses directory (209)

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13 votes
ALISON Free Course Type: course Free to Access Mime Type - Scorm 1.2

Vast quantities of data and information appear on the web every year. This data takes on a wide variety of forms such as text, images, video, code and statistics to name just a few. Data and information can also be multi-lingual and dynamic in that, for example, blogs and wikis are being constantly updated and modified. Companies like Google spend millions of dollars trying to continuously improve human-computer information retrieval methods so that the information obtained from a search is relevant. This is now considered to be one of the most important areas in web development. This free online human-computer information retrieval course shows how modern search techniques integrate information retrieval methods with human-computer interaction studies so that data and information are represented in such a way that leads the user quickly and efficiently to relevant results. In this course you will learn about techniques associated with human-computer information retrieval such as spelling suggestions and automatic query reformulation which puts control of selection and interpretation in the user’s hands. Faceted search enables users to navigate information hierarchically, going from a category to its sub-categories, while ‘lookahead’ provides a general approach to exploration. For example, various web applications employ AJAX to automatically complete query terms and suggest popular searches. This free online human-computer information retrieval course will be of great interest to all IT professionals who would like a greater knowledge and understanding of human-computer information retrieval methods, and to all learners who would like to learn more about how data and information are accessed by search engines.<br />

No votes
ALISON Free Course Type: course Free to Access Mime Type - Scorm 1.2

ALISON Global Health Initiative is a series of free online courses created to raise public awareness and understanding of common diseases that affect millions of people worldwide. In this course important aspects of the hepatitis B are covered in detail. The course begins by defining what hepatitis B is, and important facts and statistics about this medical condition. It then goes on to describe aspects such as symptoms and risk factors that are associated with the disease and how hepatitis B can be diagnosed and prevented. Finally, the course describes how a patient can successfully live with hepatitis B and how family, friends and colleagues can cope with and support a person with hepatitis B. The information in this course will be of great interest to all learners, especially those who have been diagnosed with hepatitis B, and who would like to know more about the disease, its treatment and coping with it. It will also be of great interest to all healthcare professionals who would like access to easy to understand facts and information about hepatitis B that they can share with their patients. <br />

No votes
ALISON Free Course Type: course Free to Access Mime Type - Scorm 1.2

ALISON Global Health Initiative is a series of free online courses created to raise public awareness and understanding of common diseases that affect millions of people worldwide. In this course important aspects of the Hepatitis C are covered in detail. The course begins by defining what Hepatitis C is, and important facts and statistics about this medical condition. It then goes on to describe aspects such as symptoms and risk factors that are associated with the disease and how Hepatitis C can be diagnosed and prevented. Finally, the course describes how a patient can successfully live with Hepatitis C and how family, friends and colleagues can cope with and support a person with Hepatitis C. The information in this course will be of great interest to all learners, especially those who have been diagnosed with Hepatitis C, and who would like to know more about the disease, its treatment and coping with it. It will also be of great interest to all healthcare professionals who would like access easy to understand facts and information about Hepatitis C that they can share with their patients. <br />

No votes
ALISON Free Course Type: course Free to Access Mime Type - Scorm 1.2

ALISON Global Health Initiative is a series of free online courses created to raise public awareness and understanding of common diseases that affect millions of people worldwide. In this course important aspects of the hypertension are covered in detail. The course begins by defining what hypertension is, and important facts and statistics about this medical condition. It then goes on to describe aspects such as symptoms and risk factors that are associated with the disease and how hypertension can be diagnosed and prevented. Finally, the course describes how a patient can successfully live with hypertension and how family, friends and colleagues can cope with and support a person with hypertension. The information in this course will be of great interest to all learners, especially those who have been diagnosed with hypertension, and who would like to know more about the disease, its treatment and coping with it. It will also be of great interest to all healthcare professionals who would like access to easy to understand facts and information about hypertension that they can share with their patients. <br />

No votes
ALISON Free Course Type: course Free to Access Mime Type - Scorm 1.2

ALISON Global Health Initiative is a series of free online courses created to raise public awareness and understanding of common diseases that affect millions of people worldwide. In this course important aspects of the Malaria are covered in detail. The course begins by defining what Malaria is, and important facts and statistics about this medical condition. It then goes on to describe aspects such as symptoms and risk factors that are associated with the disease and how Malaria can be diagnosed and prevented. Finally, the course describes how a patient can be treated for Malaria. The information in this course will be of great interest to all learners, especially those who with exposure to Malaria, and who would like to know more about the disease, its treatment. It will also be of great interest to all healthcare professionals who would like access easy to understand facts and information about Malaria that they can share with their patients. <br />

No votes
ALISON Free Course Type: course Free to Access Mime Type - Scorm 1.2

ALISON Global Health Initiative is a series of free online courses created to raise public awareness and understanding of common diseases that affect millions of people worldwide. In this second course important aspects of the disease COPD (Chronic Obstructive Pulmonary Disease) are covered in detail. The course begins by defining what COPD is, and detailing the two types of COPD and important facts and statistics about the disease. It then goes on to describe aspects such as symptoms and risk factors that are associated with the disease and how COPD can be diagnosed and prevented. Finally, the course describes how a patient can live with COPD and how family, friends and colleagues can cope with and support a person with COPD. The information in this course will be of great interest to all learners, especially those who have been diagnosed with COPD, and who would like to know more about the disease, its treatment and coping with it. It will also be of great interest to all healthcare professionals who would like access to easy to understand facts and information about diabetes that they can share with their patients. <br />

No votes
ALISON Free Course Type: course Free to Access Mime Type - Scorm 1.2

ALISON Global Health Initiative is a series of free online courses created to raise public awareness and understanding of common diseases that affect millions of people worldwide. In this first course important aspects of the disease diabetes are covered in detail. The course begins by defining what diabetes is, and lists the three types of diabetes and important facts and statistics about the disease. It then goes on to describe aspects such as symptoms and risk factors that are associated with the disease and how diabetes can be diagnosed and prevented. Finally, the course describes how a patient can live with diabetes and how family, friends and colleagues can cope with and support a person with diabetes. The information in this course will be of great interest to all learners, especially those who have been diagnosed with diabetes, and who would like to know more about the disease, its treatment and coping with it. It will also be of great interest to all healthcare professionals who would like access to easy to understand facts and information about diabetes that they can share with their patients.

16 votes
ALISON Free Course Type: course Free to Access Mime Type - Scorm 1.2

Google Analytics is one of the premier tools for analysing web traffic data. Whether you manage or own a small blog, or run a major international commercial website, understanding how this free tool works can be a source of great possibilities. Google Analytics gives you access to an abundance of data. You can see where your visitors are coming from, what content is popular and whether your website is working well for you. This course will be of great interest to anyone running a website and wishing to understand the dynamics of online marketing. The course will be useful to professionals in business and marketing, as well as to the casual learner. Understanding website traffic statistics is important in every business today and understanding this tool well, will make you a more competitive employee or entrepreneur.<br />

Starts : 2012-10-15
67 votes
edX Free Closed [?] General & Interdisciplinary Studies English Data Analysis & Statistics EdX HarvardX Health & Safety Math Medicine

Quantitative Methods in Clinical and Public Health Research is the online adaptation of material from the Harvard T.H. Chan School of Public Health's classes in epidemiology and biostatistics. Principled investigations to monitor and thus improve the health of individuals are firmly based on a sound understanding of modern quantitative methods. This involves the ability to discover patterns and extract knowledge from health data on a sample of individuals and then to infer, with measured uncertainty, the unobserved population characteristics. This course will address this need by covering the principles of biostatistics and epidemiology used for public health and clinical research. These include outcomes measurement, measures of associations between outcomes and their determinants, study design options, bias and confounding, probability and diagnostic tests, confidence intervals and hypothesis testing, power and sample size determinations, life tables and survival methods, regression methods (both, linear and logistic), and sample survey techniques. Students will analyze sample data sets to acquire knowledge of appropriate computer software. By the end of the course the successful student should have attained a sound understanding of these methods and a solid foundation for further study.
 

FAQ

How much does it cost to take the course?
Nothing! The course is free.

When will assignments be due?
The course is organized into weeks, and each week will have its own set of assignments. Students will be expected to complete their homework each week.

Do I need any other materials to take the course?
Nope, as long as you’ve got a Mac or PC, you’ll be ready to take the course.

Will the course use any textbooks or software?
Yes! We'll have free access to the book "Principles of Biostatistics" written by Marcello Pagano (one of the Professors) and Kimberlee Gauvreau.

In addition to the textbook, we'll use Stata (a piece of software for doing statistical analysis).

Thanks to our friends at Statacorp, we'll have free copies of Stata available for all students to use for the duration of the course (Mac and PC only).

Do I need to watch the lectures live?
No. You can watch the lectures at your leisure.

Will certificates be awarded?
Yes. Online learners who achieve a passing grade in a course can earn a certificate of achievement. These certificates will indicate you have successfully completed the course, but will not include a specific grade. Certificates will be issued by edX under the name of either HarvardX, MITx or BerkeleyX, designating the institution from which the course originated. For the courses in Fall 2012, honor code certificates will be free.


HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code : https://www.edx.org/edx-terms-service. HarvardX will take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the HarvardX course; revocation of any certificates received for the HarvardX course; or other remedies as circumstances warrant. No refunds will be issued in the case of corrective action for such violations. Enrollees who are taking HarvardX courses as part of another program will also be governed by the academic policies of those programs.

HarvardX pursues the science of learning. By registering as an online learner in an HX course, you will also participate in research about learning. Read our research statement : http://harvardx.harvard.edu/research-statement to learn more.

Harvard University and HarvardX are committed to maintaining a safe and healthy educational and work environment in which no member of the community is excluded from participation in, denied the benefits of, or subjected to discrimination or harassment in our program. All members of the HarvardX community are expected to abide by Harvard policies on nondiscrimination, including sexual harassment, and the edX Terms of Service. If you have any questions or concerns, please contact harvardx@harvard.edu and/or report your experience through the edX contact form : https://www.edx.org/contact-us.

 

Starts : 2017-07-12
No votes
edX Free Closed [?] English Biology & Life Sciences Data Analysis & Statistics EdX HarvardX Science

If you’re interested in data analysis and interpretation, then this is the data science course for you. We start by learning the mathematical definition of distance and use this to motivate the use of the singular value decomposition (SVD) for dimension reduction and multi-dimensional scaling and its connection to principle component analysis. We will learn about the batch effect: the most challenging data analytical problem in genomics today and describe how the techniques can be used to detect and adjust for batch effects. Specifically, we will describe the principal component analysis and factor analysis and demonstrate how these concepts are applied to data visualization and data analysis of high-throughput experimental data.

Finally, we give a brief introduction to machine learning and apply it to high-throughput data. We describe the general idea behind clustering analysis and descript K-means and hierarchical clustering and demonstrate how these are used in genomics and describe prediction algorithms such as k-nearest neighbors along with the concepts of training sets, test sets, error rates and cross-validation.

Given the diversity in educational background of our students we have divided the series into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts.

These courses make up 2 XSeries and are self-paced:

statistics-r-life-sciences-harvardx-ph525-1x-0" target="_blank">PH525.1x: Statistics and R for the Life Sciences

PH525.2x: Introduction to Linear Models and Matrix Algebra

statistics-life-sciences-harvardx-ph525-3x" target="_blank">PH525.3x: Statistical Inference and Modeling for High-throughput Experiments

PH525.4x: High-Dimensional Data Analysis

PH525.5x: Introduction to Bioconductor: annotation and analysis of genomes and genomic assays 

PH525.6x: High-performance computing for reproducible genomics

PH525.7x: Case studies in functional genomics


This class was supported in part by NIH grant R25GM114818.

HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. HarvardX will take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the HarvardX course; revocation of any certificates received for the HarvardX course; or other remedies as circumstances warrant. No refunds will be issued in the case of corrective action for such violations. Enrollees who are taking HarvardX courses as part of another program will also be governed by the academic policies of those programs.

HarvardX pursues the science of learning. By registering as an online learner in an HX course, you will also participate in research about learning. Read our research statement to learn more.

Harvard University and HarvardX are committed to maintaining a safe and healthy educational and work environment in which no member of the community is excluded from participation in, denied the benefits of, or subjected to discrimination or harassment in our program. All members of the HarvardX community are expected to abide by Harvard policies on nondiscrimination, including sexual harassment, and the edX Terms of Service. If you have any questions or concerns, please contact harvardx@harvard.edu and/or report your experience through the edX contact form.

Starts : 2017-09-07
No votes
edX Free Closed [?] English Biology & Life Sciences Data Analysis & Statistics EdX HarvardX Science

If you’re interested in data analysis and interpretation, then this is the data science course for you.

Enhanced throughput: Almost all recently manufactured laptops and desktops include multiple core CPUs. With R, it is very easy to obtain faster turnaround times for analyses by distributing tasks among the cores for concurrent execution. We will discuss how to use Bioconductor to simplify parallel computing for efficient, fault-tolerant, and reproducible high-performance analyses. This will be illustrated with common multicore architectures and Amazon’s EC2 infrastructure.  

Enhanced interactivity: New approaches to programming with R and Bioconductor allow researchers to use the web browser as a highly dynamic interface for data interrogation and visualization. We will discuss how to create interactive reports that enable us to move beyond static tables and one-off graphics so that our analysis outputs can be transformed and explored in real time.

Enhanced reproducibility: New methods of virtualization of software environments, exemplified by the Docker ecosystem, are useful for achieving reproducible distributed analyses. The Docker Hub includes a considerable number of container images useful for important Bioconductor-based workflows, and we will illustrate how to use and extend these for sharable and reproducible analysis.

Given the diversity in educational background of our students we have divided the series into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts.

These courses make up 2 XSeries and are self-paced:

statistics-r-life-sciences-harvardx-ph525-1x-0" target="_blank">PH525.1x: Statistics and R for the Life Sciences

PH525.2x: Introduction to Linear Models and Matrix Algebra

statistics-life-sciences-harvardx-ph525-3x" target="_blank">PH525.3x: Statistical Inference and Modeling for High-throughput Experiments

PH525.4x: High-Dimensional Data Analysis

PH525.5x: Introduction to Bioconductor: annotation and analysis of genomes and genomic assays 

PH525.6x: High-performance computing for reproducible genomics

PH525.7x: Case studies in functional genomics


This class was supported in part by NIH grant R25GM114818.

HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. HarvardX will take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the HarvardX course; revocation of any certificates received for the HarvardX course; or other remedies as circumstances warrant. No refunds will be issued in the case of corrective action for such violations. Enrollees who are taking HarvardX courses as part of another program will also be governed by the academic policies of those programs.

HarvardX pursues the science of learning. By registering as an online learner in an HX course, you will also participate in research about learning. Read our research statement to learn more.

Harvard University and HarvardX are committed to maintaining a safe and healthy educational and work environment in which no member of the community is excluded from participation in, denied the benefits of, or subjected to discrimination or harassment in our program. All members of the HarvardX community are expected to abide by Harvard policies on nondiscrimination, including sexual harassment, and the edX Terms of Service. If you have any questions or concerns, please contact harvardx@harvard.edu and/or report your experience through the edX contact form.

Starts : 2015-04-15
No votes
edX Free Closed [?] English Data Analysis & Statistics EdX Math NotreDameX Social Sciences

When you meet a new person, it is hard to know what to expect.  You may not be able to read the person or understand what they mean. Even if you want to have a good relationship with them, this lack of understanding can make interactions tense, unpredictable and scary! The same is true for a lot of people as they encounter statistics and mathematical ways of working with data.  Statistics can be confusing and opaque.  Symbols, Greek letters, very large and very small numbers, and how to interpret all of this can leave to feeling cold and disengaged—even fearful and resentful.

But in the modern information age, having a healthy relationship with statistics can make life a whole lot easier. We are constantly faced with an onslaught of data and claims about it—from news articles, to Facebook and blog posts, casual and professional conversations, reports at our workplace, advertising, and claims from politicians and public officials. How can we process that information, make sense of it, evaluate truth claims, and put ourselves in a position to act on the information?  One of the most important ways is by befriending statistics and consistently using statistical ways of thinking.
 
The purpose of this course, then is to help you develop a functional, satisfying, and useful life-long relationship with statistics. To achieve that goal, we will take a non-technical approach—you will learn how statistics work and why they are so helpful in evaluating the world of information that is around us. You will learn about the logic of statistical thinking and the concepts (rather than the mathematical details and probability theory) that guide statistical inferences and conclusions.
 
You do not need to be a math whiz to take this course. If you can add, subtract, multiply, and divide (or just be able to use a calculator to do that!), you will be more than able to handle what will happen as this relationship develops.

By the end of the course you will be able to:

 

  • Identify the most important features of a data set
  • Select a statistical test based on the features of the data
  • Think like a statistical detective
  • Understand the relationship between two different characteristics or variables
  • Perform some simple statistical calculations and draw some conclusions from real data
  • Hopefully, love stats! 

We’ll do all of this using entertaining examples related to real-life situations we all encounter in everyday life.

No votes
Udemy $119 Closed [?] Math & Science

Learn how to enter, manipulate, analyze, and report data using IBM SPSS Statistics.

Starts : 2016-02-29
No votes
Coursera Free Closed [?] English Social Sciences Statistics and Data Analysis

Learn about inferential statistics, and how they are used and misused in the social and behavioral sciences. Learn how to critically evaluate the use of inferential statistics in published research and how to generate these statistics yourself, using freely available statistical software.

No votes
Udemy $79 Closed [?] Math & Science

Learn step-by-step how to analyze and interpret t tests, ANOVA, correlation, regression and chi-square in SPSS.

Starts : 2018-03-26
No votes
edX Free Closed [?] English Education & Teacher Training EdX UMUC USMx

Data driven decision-making systems allow instructional designers to engage in continuous improvement of course design to optimize student learning.

In this education and teacher training course, part of the Instructional Design and Technology MicroMasters program we will delve into data driven decision-making and you will learn data mining techniques to collect actionable data. You will learn how to analyze learner statistics to improve the impact of design and technology on learning. 

It’s important for instructional designers to have systematic plans for gathering data and learner analysis to guide ongoing course adjustments to improve teaching and learning. Data is critical to the continuous improvement process.

Starts : 2017-07-01
No votes
edX Free Closed [?] English Business & Management Communication Data Analysis & Statistics EdX Microsoft

Data flows everywhere today, but consuming and communicating the essence of these signals is no easy task. Business executives want to hear findings as efficiently as possible. Business managers would like an engaging dialogue with data, but turn data aside if the burden of knowledge is too great. Results really matter. A proven framework and method for interpreting and communicating data insights is necessary when the going gets tough.

In this data analysis and statistics course, you’ll discover effective strategies and tools to master the process of interpreting and then communicating your data analysis and visualization work to business audiences. This course will empower you with proven business analytics methods and boost your confidence for effective communication of insights.

No votes
Udacity Free Closed [?] Data Science

The Introduction to Data Science class will survey the foundational topics in data science, namely: * Data Manipulation * Data Analysis with Statistics and Machine Learning * Data Communication with Information Visualization * Data at Scale -- Working with Big Data The class will focus on breadth and present the topics briefly instead of focusing on a single topic in depth. This will give you the opportunity to sample and apply the basic techniques of data science. This course is also a part of our Data Analyst Nanodegree.

No votes
Udacity Free Closed [?] Data Science

Statistics is an important field of math that is used to analyze, interpret, and predict outcomes from data. Descriptive statistics will teach you the basic concepts used to describe data. This is a great beginner course for those interested in Data Science, Economics, Psychology, Machine Learning, Sports analytics and just about any other field.

No votes
Udacity Free Closed [?] Data Science

Inferential statistics allows us to draw conclusions from data that might not be immediately obvious. This course focuses on enhancing your ability to develop hypotheses and use common tests such as t-tests, ANOVA tests, and regression to validate your claims.

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