Upcoming Paid Online Courses (295)

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Starts : 2017-06-30 in 1 days
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edX Free English Biology & Life Sciences EdX HKPolyUx Medicine Science

How is the human body structured? How are the different body systems interconnected with each other? If you are interested but layman to Human Anatomy, if you find the Human Anatomy textbooks are too difficult to read, or if you want to freshen up quickly your anatomy knowledge, this is the course for you.

Human Anatomy is fundamental to every medical and healthcare professional. However, the science of anatomy and effects of stroke are also extremely useful to anyone interested in understanding more about the human body. In this course, you’ll gain an understanding of the basic concepts of anatomy and learn to ‘dissect’ the human body with a logical approach through a typical clinical case of stroke.

Case-based study:
A real-life severe stroke case is adopted in this MOOC to articulate the application of Human Anatomy knowledge. This case scenario is presented by using a micro movie together with an interactive case summary and interview to arouse learners’ interest.

Module-based design:
In addition to the presentation of a stroke case scenario in Module ONE, two more modules are included. In Module TWO, general knowledge of human anatomy related to the stroke case, including organs of important body systems, anatomical orientation, skeletal and muscular system, nervous system and special senses, and cardiovascular and pulmonary system. And Module THREE is specific for healthcare professionals or learners who want to know more about the health services being provided to stroke patients. It rounds up the course with six healthcare-discipline specific role play videos and lectures given by visiting professors.

Starts : 2017-06-30 in 1 days
No votes
edX Free English Computer Science EdX Microsoft

This course is part of the Microsoft Professional Program Certificate in Front-End Web Development

Want to give your apps the power of the cloud? Roll up your sleeves for a fast-paced, hands-on tour of several cloud-powered features in Azure, and learn how to integrate Azure services within a single web app.

As you work with the experts through an easy-to-follow scenario, start by creating a web app using Angular and .NET Core. Then, integrate Bing Search to find and retrieve images to display on your site. Ready for artificial intelligence (AI)? Use Azure Cognitive Services Computer Vision to analyze and detect the objects within the images you found. Plus, use SQL Azure to store your metadata in a scalable database, retrieve the data, and display it using .NET Core Web API and Entity Framework Core.

Complete the scenario with Azure Search for quick retrieval of images based on your own search terms. Finally, use Azure Active Directory B2C to enable secure access to your stored images and to protect the entire application.

Starts : 2017-07-01 in 2 days
No votes
edX Free English Biology & Life Sciences Data Analysis & Statistics EdX HarvardX Science

We will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R. We provide R programming examples in a way that will help make the connection between concepts and implementation. Problem sets requiring R programming will be used to test understanding and ability to implement basic data analyses. We will use visualization techniques to explore new data sets and determine the most appropriate approach. We will describe robust statistical techniques as alternatives when data do not fit assumptions required by the standard approaches. By using R scripts to analyze data, you will learn the basics of conducting reproducible research.

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:

PH525.1x: Statistics and R for the Life Sciences

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

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 : 2017-07-01 in 2 days
No votes
edX Free English Biology & Life Sciences Data Analysis & Statistics EdX HarvardX Science

Matrix Algebra underlies many of the current tools for experimental design and the analysis of high-dimensional data. In this introductory data analysis course, we will use matrix algebra to represent the linear models that commonly used to model differences between experimental units. We perform statistical inference on these differences. Throughout the course we will use the R programming language.

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:

PH525.1x: Statistics and R for the Life Sciences

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

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 : 2017-07-01 in 2 days
No votes
edX Free 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:

PH525.1x: Statistics and R for the Life Sciences

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

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 : 2017-07-01 in 2 days
No votes
edX Free English Computer Science Data Analysis & Statistics EdX Microsoft

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

Are you ready for big data science? In this course, learn how to implement predictive analytics solutions for big data using Apache Spark in Microsoft Azure HDInsight. See how to work with Scala or Python to cleanse and transform data and build machine learning models with Spark ML (the machine learning library in Spark),

Note: To complete the hands-on elements in this course, you will require an Azure subscription and a Windows client computer. 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.

This course is also part of the Microsoft Azure HDInsight Big Data Analyst XSeries.

Starts : 2017-07-01 in 2 days
No votes
edX Free English Biology & Life Sciences Data Analysis & Statistics EdX HarvardX Science

In this course you’ll learn various statistics topics including multiple testing problem, error rates, error rate controlling procedures, false discovery rates, q-values and exploratory data analysis. We then introduce statistical modeling and how it is applied to high-throughput data. In particular, we will discuss parametric distributions, including binomial, exponential, and gamma, and describe maximum likelihood estimation. We provide several examples of how these concepts are applied in next generation sequencing and microarray data. Finally, we will discuss hierarchical models and empirical bayes along with some examples of how these are used in practice. We provide R programming examples in a way that will help make the connection between concepts and implementation.

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:

PH525.1x: Statistics and R for the Life Sciences

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

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 : 2017-07-01 in 2 days
No votes
edX Free English Computer Science Data Analysis & Statistics EdX Microsoft

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

Showcase the knowledge and skills you’ve acquired during the Microsoft Professional Program for Data Science, and solve a real-world data science problem in this program capstone project. The project takes the form of a challenge in which you will explore a dataset and develop a machine learning solution that is tested and scored to determine your grade.

Note: This course assumes you have completed the previous courses in the Microsoft Professional Program for Data Science. For details, go to https://academy.microsoft.com/en-us/professional-program/data-science.

Starts : 2017-07-01 in 2 days
No votes
edX Free English Business & Management DelftX EdX

Designing a new business model is one thing, but how do you actually put it into practice? How do you move from your current model to a new business model?

In this business and management course, you will learn how to make a practical action plan to implement your new business model.

You will create a business model roadmap that will include practical activities that take into consideration the possible risks associated with moving to a new business model.

You will also learn about the practical factors that need to be taken into consideration during the transition process, i.e. the competency of your people and your IT, in order to successfully implement a new business model.

 

LICENSE

The course materials of this course are Copyright Delft University of Technology and are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA) 4.0 International License.

Starts : 2017-07-01 in 2 days
No votes
edX Free English Computer Science EdX Microsoft

This course is part of the Microsoft Professional Program Certificate in Big Data

The past can often be the key to predicting the future. Big data from historical sources is a valuable resource for identifying trends and building machine learning models that apply statistical patterns and predict future outcomes.

This course introduces Azure Machine Learning, and explores techniques and considerations for using it to build models from big data sources, and to integrate predictive insights into big data processing workflows.

Starts : 2017-07-03 in 4 days
13 votes
Open2Study Free Computer Sciences

Learn to create great experiences for people visiting websites, with proven tools and techniques.

Starts : 2017-07-03 in 4 days
8 votes
Open2Study Free Business

Learn the strategies of successful managers, including leadership, teamwork and communication.

Starts : 2017-07-03 in 4 days
No votes
edX Free English ACCA Business & Management Economics & Finance EdX

This course introduces the principles of financial accounting, and will allow learners to demonstrate technical proficiency in the use of double-entry techniques, including the preparation and interpretation of basic financial statements for sole traders, partnerships and companies. You will also learn how to:

  • Record, process and report business transactions
  • Use the trial balance and identify and correct errors
  • Draft financial statements
  • Understand the qualitative characteristics of useful information

Completion of this course will also prepare you for the ACCA ‘Financial Accounting’ exam (FFA/F3), which leads to a Diploma in Accounting and Business.

To check availability of this course in your country please click here. This course does not offer an edX certificate. Those learners who would like to earn an award will have the opportunity to register with ACCA as a student, take computer based exams and gain the ACCA Diploma in Accounting and Business.

You can find your nearest ACCA exam centre on the ACCA website.

Starts : 2017-07-03 in 4 days
No votes
Open2Study Free Life Sciences

Discover a world built by atoms, shaped by molecules and kept running with chemical reactions!

Starts : 2017-07-03 in 4 days
No votes
edX Free English ACCA Business & Management Economics & Finance EdX

This course introduces different ways of managing finances within an organisation with the aim of enhancing business performance.

It will allow you to develop your knowledge and understanding of how to make financing and investment decisions and help you to understand:

  • How organisations finance their operations
  • How to plan and control cash flows
  • How to make the best use of working capital
  • The principles of making capital investment decisions

Completion of this course will also prepare you for the ACCA ‘Management Accounting’ exam (FMA/F2), which leads to a Diploma in Accounting and Business.

To check availability of this course in your country please click here.

This course does not offer an edX certificate.

Those learners who would like to earn an award will have the opportunity to register with ACCA as a student, take computer-based exams and gain the ACCA Diploma in Accounting and Business.

You can find your nearest ACCA exam centre on the ACCA website.

Starts : 2017-07-03 in 4 days
No votes
edX Free Public Affairs & Law English EdX History LouvainX Social Sciences

Le politique nous concerne tous : chaque jour, des décisions publiques sont adoptées qui impactent notre quotidien. Dans quel contexte ces décisions sont-elles adoptées ? Au 21ème siècle, de nombreux paradoxes brouillent la vision que nous pouvons en avoir. Qu’est-ce que le pouvoir dans la société actuelle ? Quels acteurs en détiennent ? L’État demeure-t-il un acteur politique majeur s’il est concurrencé par des organisations internationales et régionales ? Comment la démocratie prônée par la communauté internationale se différencie-t-elle des régimes autoritaires voire totalitaires ? Quelle est la place des idéologies dans le monde actuel ? Le cours vise à comprendre et à expliquer des phénomènes politiques à partir d’une posture d’analyse critique.


Politics impact all of us: everyday political decisions impact many areas of our lives. In which context are these decisions made? In the 21st century, many paradoxes blur our vision of these decisions. What is power in a multi-level society? Does the state remain the main political actor, if it is in competition with international and regional organizations? Can democracy – pushed forward by the international community – coexist with authoritarian, or even totalitarian, regimes? What is the role of ideologies in contemporary politics? The course aims at understanding and explaining political phenomena from a critical standpoint. 

Starts : 2017-07-03 in 4 days
No votes
edX Free English ACCA Business & Management Economics & Finance EdX

Don’t have a business background but want to understand how people and systems of an organisation interact with the world and each other?

This business and finance course will help you understand business in the context of its environment, including economic, legal, and regulatory influences on such aspects as governance, employment, health and safety, data protection and security.

Upon the completion of the course, you will understand:

  • The purpose and types of businesses and more about how the external environment impact them
  • Business organisation structure, functions and the role of corporate governance
  • How accountancy and audit support effective financial management and communication
  • Leadership and how people are developed within businesses
  • What makes for a high performing team
  • The vital role of professional ethics and professional values in all aspects of business

Completion of this course will also prepare you for the ACCA ‘Financial Accounting’ exam (FAB/F1), which leads to a Diploma in Accounting and Business.

To check availability of this course in your country please click here.

This course does not offer an edX certificate.

Those learners who would like to earn an award will have the opportunity to register with ACCA as a student, take computer based exams and gain the ACCA Diploma in Accounting and Business.

You can find your nearest ACCA exam centre on the ACCA website.

Starts : 2017-07-03 in 4 days
No votes
edX Free English Computer Science EdX Engineering PennX

Knowing how to code is only part of the skills needed to become a professional software developer.

This course, part of the CS Essentials for Software Development Professional Certificate program, will take your skills to the next level by teaching you how to write “good” software that appropriately represents and organizes data, is easy to maintain, and is of high quality.

As the purpose of most computer programs is to manipulate data, sometimes large quantities of it, the manner in which programs represent and organize data can have an enormous effect on the simplicity and efficiency of the code. In this course, you will learn about important core data structures such as arrays, lists, stacks, queues, sets, maps, trees, and graphs, and learn how to evaluate them and reason about their behavior and efficiency.

Most importantly, you will learn how to determine which data structure is the most appropriate for solving the problem at hand, and see how to use the implementations that are part of the Java library.

However, choosing the right data structure is only part of the challenge of developing high quality software: you must also consider the design of the classes that use those data structures. You will learn about software design principles such as modularity, functional independence, and abstraction, and apply those concepts toward writing programs that are easy to understand, easy to modify, and easy to test.

Although it is important to know how to write high quality code, professional software developers often spend a majority of their time maintaining existing code. You will also learn about software refactoring techniques for improving the design of existing code, and see how to improve code efficiency.

This course will use Java but the concepts you learn can be applied to almost all modern programming languages.

Starts : 2017-07-03 in 4 days
No votes
edX Free English ACCA Business & Management Economics & Finance EdX

Intermediate Financial and Management Accounting is part two of a programme designed for anyone who is just starting out on their business, finance or accountancy journey and wants to expand their accounting and finance skills. 

Building on what you learned in Introduction to Financial and Management Accounting, this free online course from the Association of Chartered Certified Accountants will:

  • Enhance your finance and accountancy skills, exploring how to prepare financial statements and use accounting concepts to aid decision-making.
  • Arm you with the knowledge you need to take your exams in Maintaining Financial Records (FA2) and Managing Costs and Finance (MA2).
  • Prepare you for a position as an accounting administrator or bookkeeper.

If you have some basic knowledge of accountancy, business and finance, then this is the course for you. If you do not, then start with the Introduction course.

This course does not offer an edX certificate.

For learners who would like to earn an ACCA certificate for this course, please register with ACCA as a student. Once you pass ACCA’s computer-based exams on demand, you will need to complete an online and interactive module on the "Foundations in Professionalism." Upon completion of this module, you be awarded the Intermediate Certificate in Financial and Management Accounting from ACCA.

Starts : 2017-07-03 in 4 days
No votes
edX Free English ACCA Business & Management Economics & Finance EdX

Interested in a career in business? Knowledge of finance will be key to your success. This Introduction to Financial and Management Accounting course is an ideal starting point if you want to:

  • Start a career in business, finance or accountancy
  • Study business or finance at school or college
  • Launch your own start-up
  • Prepare for ACCA’s exams in Recording Financial Transactions (FA1) and Management Information (MA1).

And the best thing is you do not need any previous knowledge of accounting- Simply sign up and start your learning journey.

This course does not offer an edX certificate.

For learners who would like to earn an ACCA certificate for this course, please register with ACCA as a student. Once you pass ACCA’s computer-based exams on demand, you will need to complete an online and interactive module on the "Foundations in Professionalism." Upon completion of this module, you be awarded the Introductory Certificate in Financial and Management Accounting from ACCA.