Online courses directory (1728)

Everyone does accounting of some kind, such as browsing bank statements, preparing a budget for building a house, or counting the cost of a birthday party. Individuals who want to be accountants, managers or entrepreneurs should be able work with financial reports.

This accounting course will give you an overview of business organizations and describes the role accounting plays in managing them. You’ll learn about the effect of common business transactions on financial statements, how to apply the double-entry system for processing transactions and the principles of measuring performance and the related mechanics. At the end of this course, you will know how to prepare financial statements.

Actuary is rated the best job of 2015 by CareerCast.com because it pays well and offers abundant opportunities for advancement. 

You may have heard of actuarial science, or you might even know an actuary, but do you know what an actuary does? During the course you’ll hear from a wide variety of actuaries about their careers.

And don’t be scared that the course will be “just a whole lot of mathematics”. Together, we will go beyond the math to learn how actuaries approach problems relating to risk, using examples from:

• Finance
• Investments
• Banking
• Insurance

You will learn how actuarial science applies mathematical and statistical methods to assess risk in these industries and other professions.

You’ll experience “hands-on” learning using Excel (or an equivalent spreadsheet tool) to project and investigate the financial condition of a company choosing appropriate strategies for the company through the use of simulations.

The course has been carefully designed for students from a wide variety of backgrounds, with secondary/high school level being the only assumption of mathematical background. Even if you don’t have any background in, for example, calculus, the course has been designed so you can skip over these sections without affecting your understanding of the rest of the course. You also do not need to have any Excel or other spreadsheet background to take the course.

For those with stronger mathematical backgrounds, extension questions are provided to test you further. You’ll learn a huge amount about actuarial science no matter what your background is!

Join us today. To connect with the course community before and during the course, join our Facebook group, and tweet us with #actuarialedX.

"Great introduction to this specialized field; every day there are new challenges where as a student you are put in a situation to learn and apply the lessons with practical exercises. Great structure of the course, with main concepts to review at the end of a lesson. I would recommend to anyone who would like to learn more about actuarial science." - Previous student

This aerodynamics course focuses on the study of the flow of air about a body, and the “body” will be an airplane, but many of the concepts explored are relevant to a wide variety of applications from sailboats to automobiles to birds. Learners completing this aerodynamics course will gain a fundamental understanding of concepts and models used to aerodynamically analyze and design subsonic, transonic, and supersonic aircraft.

While the course is an introduction to aerodynamics, it is an advanced subject typically taken as a third or fourth year undergraduate subject in aerospace engineering.

This course provides an overview of and introduction to the fundamentals of aeronautics, using the history of aviation as a story line. The course uses examples from the very beginning of aviation (the Montgolfier brothers’ balloon flight in 1783 and the Wright brothers’ heavier-than-air flight in 1903) and continues all the way through to the current Airbus A380 and future aircraft. During this trajectory three major topics are discussed: aeronautics, aerodynamics and flight mechanics.

Lectures are frequently accompanied by related exercises and demonstrations. The course also incorporates (design) challenges/competitions, based on the knowledge obtained through the lectures.

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.

Spaceflight is exciting, and you don’t have to be a “Rocket Scientist” to share in the excitement! 16.00x makes the basics of spaceflight accessible to everyone. Join MIT Professor Jeffrey Hoffman, a former NASA astronaut who made five spaceflights and was the first astronaut to log 1000 hours on the Space Shuttle, as he teaches you the core principles behind space travel and exploration. The course will cover how rockets work, how spacecraft move in orbit, how we create artificial environments inside spacecraft to keep astronauts alive and healthy, what it’s like living in a world without gravity, how the human body adapts to space, and how spacewalks happen, plus more. Many lessons will be illustrated with Professor Hoffman’s own experiences in space. 

Advanced Notice of a Future Spaceflight Course

Students who are interested in taking more online space-related courses should be aware that Professor Hoffman will be presenting a new online course in the fall of 2018 about “Systems Engineering and the Space Shuttle”. 16.00x is good preparation for this new course.

We live in a world of numbers. You see them every day: on clocks, in the stock market, in sports, and all over the news. Algebra is all about figuring out the numbers you don't see. You might know how fast you can throw a ball, but can you use this number to determine how far you can throw it? You might keep track of stock prices, but how can you figure out how much money you've made (or lost) in the market? And you may already know how to tell time, but can you calculate at what times a clock's hour and minute hands are exactly aligned? With algebra, you can answer all of these questions, using the numbers you already know to solve for the unknown. Algebra is an essential tool for all of high school and college-level math, science, and engineering. So if you're starting out in one of these fields and you haven't yet mastered algebra, then this is the course for you!
 
In this course, you'll be able to choose your own path within each lesson, and you can jump between lessons to quickly review earlier material. AlgebraX covers a standard curriculum in high school Algebra I, and CCSS (common core) alignment is indicated where applicable.

Learn more about our High School and AP* Exam Preparation Courses

Please note that the verified certificate option for this course is limited to 300 learners. The verified certificate option will close when this limit is reached.

Analytical models are key to understanding data, generating predictions, and making business decisions. Without models it’s nearly impossible to gain insights from data. In modeling, it’s essential to understand how to choose the right data sets, algorithms, techniques and formats to solve a particular business problem.  

In this course, part of the Analytics: Essential Tools and Methods MicroMasters program, you’ll gain an intuitive understanding of fundamental models and methods of analytics and practice how to implement them using common industry tools like R.

You’ll learn about analytics modeling and how to choose the right approach from among the wide range of options in your toolbox.

You will learn how to use statistical models and machine learning as well as models for:

• classification;
• clustering;
• change detection;
• data smoothing;
• validation;
• prediction;
• optimization;
• experimentation;
• decision making.

Do you want to understand how and why animals behave the way they do, and how we test hypotheses about behaviour scientifically? This biology and life sciences course provides an introduction to the complexities of wild animal behaviour, and how it is studied.

Over six weeks, learners will explore the various behaviours animals adopt in order to meet the challenges of their daily lives. We begin with how animals learn and communicate with each other, then move on to discuss how they find food, avoid predators, choose their mates, and rear their offspring.

This course is aimed at anyone looking to broaden their understanding of animal behaviour beyond nature documentaries or a typical high school education. No previous knowledge is required, only curiosity and enthusiasm for the subject.

Are you interested in what’s happening in your global community? Explore economic, social, political, and environmental issues through the lens of geography.

By exploring human influences and patterns, you can better understand the world around you, make predictions, and propose solutions to current issues. In this course, you will investigate geographic perspectives and analyze historical and current patterns of migration, population, political organization of space, agriculture, food production, land use, industrialization and economic development.

In addition, you will learn helpful strategies for answering multiple-choice questions and free response essay questions on the AP Human Geography test.

Each of the seven modules in this course aligns with the concepts in the Advanced Placement* Human Geography course.

This course is specifically designed for students who are interested in learning more about the AP Human Geography course before enrolling, supplementary support and exam review, and for use in blended learning classrooms.

* Advanced Placement® and AP® are trademarks registered and/or owned by the College Board, which was not involved in the production of, and does not endorse, these offerings.

Everywhere you look today, enterprises are embracing big data-driven customer relationships and building innovative solutions based on insights gained from data. According to IBM, every day we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals, just to name a few. This data is big data.

The demand for storing this unprecedented amount of information is enough of a challenge, but when you add the need for analytics, the technology requirements truly start pushing the envelope on state-of-the-art IT infrastructures. Fortunately, the Open Source community has stepped up to this challenge and developed a storage and processing layer called Apache Hadoop. Add the dozens of other projects integrating with Apache Hadoop and you have the whole Hadoop ecosystem.

The Hadoop ecosystem, along with the data management architectures it enables, is growing at an unprecedented rate, with 73% of Hadoop cluster deployments now in production — a number which continues to rise.

The demand for individuals who have experience managing this platform is also accelerating. According to the IT Skills and Certifications Pay Index research from Foote Partners, “the need for big data skills also continues to lead to pay increases — about 8% over the last year.” Now is exactly the right time to build an exciting and rewarding career managing big data with Apache Hadoop.

This introductory course is taught by Hadoop experts from The Linux Foundation’s ODPi collaborative project. As host to some of the world's leading open source projects, The Linux Foundation provides training and networking opportunities to help you advance your career.

This course is perfect for IT professionals seeking a high-level overview of Hadoop, and who want to find out if a Hadoop-driven big data strategy is the right solution to meet their data retention and analytics needs. This course will also help anyone who wants to set up a small-scale Hadoop test environment to gain experience working with this exciting open source technology.

Spark is rapidly becoming the compute engine of choice for big data. Spark programs are more concise and often run 10-100 times faster than Hadoop MapReduce jobs. As companies realize this, Spark developers are becoming increasingly valued.

This statistics and data analysis course will teach you the basics of working with Spark and will provide you with the necessary foundation for diving deeper into Spark. You’ll learn about Spark’s architecture and programming model, including commonly used APIs. After completing this course, you’ll be able to write and debug basic Spark applications. This course will also explain how to use Spark’s web user interface (UI), how to recognize common coding errors, and how to proactively prevent errors. The focus of this course will be Spark Core and Spark SQL.

This course covers advanced undergraduate-level material. It requires a programming background and experience with Python (or the ability to learn it quickly). All exercises will use PySpark (the Python API for Spark), but previous experience with Spark or distributed computing is NOT required. Students should take this Python mini-quiz before the course and take this Python mini-course if they need to learn Python or refresh their Python knowledge.

How can we study the Universe we live in using the only available information it provides us with: light ?

This course provides an overview of the physical phenomena at play in the astronomical objects surrounding us, from planets and stars to the cosmic filaments, from galaxies such as our own Milky Way to large galaxy clusters. The course emphasizes the links between theoretical predictions and observations.

In this course, you will learn the basics of astrophysics using simplified mathematical developments. In particular, you will learn the role played by gravity in astrophysics, including gravitational lensing, and how matter and radiation interact. The material in this course is essential to follow more advanced astrophysics courses.

Banking and financial markets encompass the ‘ecosystem’ that (a) channelizes money from those who have it (i.e., savers/investors) to those who need it (i.e., borrowers) and (b) facilitate cross-border flow of funds through exchange of currencies. That ecosystem of banks and financial markets (including Central Banks) has deepened in size, sophistication and complexity over the years. However, in recent times they have also been the subject of abuse, failures and economic distress in several countries resulting in a ‘contagion’ that has concurrently impacted several countries around the World! 

More recently, and perhaps more importantly, thanks to the liberalization of most economies, the world has witnessed an exponential increase in the free flow of capital across countries. Banking institutions and financial markets, being the predominant conduit for such free flow of capital across countries, have therefore become even more ‘globally interconnected’. Such a globally interconnected financial system, combined with regulatory systems that are country-specific and hence varying considerably in rigor and implementation, has further compounded the risks and the consequent contagion, as witnessed in the global financial meltdown that was triggered in 2008.

This course titled “Introduction to Banking and Financial Markets” will be delivered in two parts. The first part will help you demystify the role of banking and financial markets in any country, the products and services they offer and the underlying market mechanisms.

The second part of the course will examine the risks embedded in banking and financial markets, how these risks have been heightened because of a globally interconnected world and the regulatory and governance mechanisms to minimize adverse outcomes in such a complex system.

Organizations use their data for decision support and to build data-intensive products and services, such as recommendation, prediction, and diagnostic systems. The collection of skills required by organizations to support these functions has been grouped under the term Data Science. This course will attempt to articulate the expected output of Data Scientists and then teach students how to use PySpark (part of Apache Spark) to deliver against these expectations. The course assignments include Log Mining, Textual Entity Recognition, Collaborative Filtering exercises that teach students how to manipulate data sets using parallel processing with PySpark.

This course covers advanced undergraduate-level material. It requires a programming background and experience with Python (or the ability to learn it quickly). All exercises will use PySpark (part of Apache Spark), but previous experience with Spark or distributed computing is NOT required. Students should take this Python mini-quiz before the course and take this Python mini-course if they need to learn Python or refresh their Python knowledge.
 

We begin with an introduction to the biology, explaining what we measure and why. Then we focus on the two main measurement technologies: next generation sequencing and microarrays. We then move on to describing how raw data and experimental information are imported into R and how we use Bioconductor classes to organize these data, whether generated locally, or harvested from public repositories or institutional archives. Genomic features are generally identified using intervals in genomic coordinates, and highly efficient algorithms for computing with genomic intervals will be examined in detail. Statistical methods for testing gene-centric or pathway-centric hypotheses with genome-scale data are found in packages such as limma, some of these techniques will be illustrated in lectures and labs.

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

In this course you will use fundamental engineering and mathematical tools to understand and analyze basic bioelectricity and circuit theory in the context of the mammalian nervous system.

This course is for students who are interested in learning about relating the systems of the human body that involve or communicate with bioelectrical systems, including the heart, brain, muscles, and the neuromuscular system that connects them all together. 

Students will learn how bioelectricity can be used to record and control the way the body electric behaves. Suggested text: “Neuroscience” by Purves, et al. 

This course is offered by the nanoHUB-U project, which is jointly funded by Purdue and NSF with the goal of transcending disciplines through short courses accessible to students in any branch of science or engineering. These courses focus on cutting-edge topics distilled into short lectures with quizzes, homework, and practice exams.

Should we clone humans? What should we think of the coming genetic revolution? How much control should we have over how and when we die? When does medical treatment turn into medical enhancement — and should we care? Is rationing health care good, bad, necessary — or all of the above?

This course will explore fundamental moral issues that arise in medicine, health, and biotechnology. Some are as old as life itself: the vulnerability of illness, the fact of death. Some are new, brought on by a dizzying pace of technology that can unsettle our core ideas about human nature and our place in the world. And nearly all intersect with issues of racial and gender equality, as well as policies affecting the world’s most vulnerable populations.

Designed to introduce students to the range of issues that define bioethics, together with core concepts and skills, this course should be of interest to undergraduates, health care professionals, policy makers, and anyone interested in philosophy or ethics.

Before your course starts, try the new edX Demo where you can explore the fun, interactive learning environment and virtual labs. Learn more.

Read fully to understand the verified-certificate option. Join Professor Eric Lander and the MITx Biology team in this unique introductory biology learning experience. All 7.00x course materials are available here for exploration and completion, including video and interactive problem sets and exams for skill building. We strongly encourage you to work through the activities, towards a goal of learning biology. We have optimized the course settings for learning: instant feedback after trying problems and all content available at all times. We offer a rigorous means of certifying edX learners in their mastery of the MITx introductory biology content, through the MITx 7.00x Introduction to Biology Competency Exam. This exciting option is available ONLY to those who register for the verified-certificate track, and successful completion of this exam is the only assessment that counts toward a certificate. We highly recommend preparing for the Competency Exam certification by using the current course materials and MIT OpenCourseWare problems. The next Competency Exam will be open October 24, 2017 to October 31, 2017.

7.00x is an introductory level biology course hosted by professor Eric Lander, who was one of the leaders of the Human Genome Project. The course content reflects the topics taught in the MIT introductory biology courses and many biology courses across the world. As a learner, you will first focus on the structure and function of macromolecules such as DNA, RNA and proteins. You will discover how changes in the structure of some of these macromolecules alter their functions and what the implications of such changes have on human health. As you continue in the course, you will apply an understanding of heredity and information flow within cells to human health and disease and will learn about molecular biological techniques and their potential to impact our changing world. After you complete this course, you will have a foundation in biology that will allow you to understand the remarkable medical revolution going on today.

MITx 7.00x: Introduction to Biology – The Secret of Life will let you explore the mysteries of biochemistry, genetics, molecular biology, recombinant DNA technology and genomics, and rational medicine. We are excited to take this journey with you!

Imaging technologies form a significant component of the health budgets of all developed economies, and most people need advanced imaging such as MRIs, X-Rays and CT Scans (or CAT Scans) during their life. Many of us are aware of the misinformation sometimes offered in TV dramas, which either exaggerates the benefits or overemphasizes the risks.

This medical imaging course provides an introduction to biomedical imaging and modern imaging modalities. The course also covers the basic scientific principals behind each modality, and introduces some of the key applications, from neurological diseases to cancers. This course includes modules specially designed for the general public, whilst also providing some advanced modules which could contribute to professional development in health, engineering and IT industries.

Interested in a career in business? Knowledge of accounting will be key to your success. By studying at your own pace, this Introduction to Bookkeeping 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 exam in Recording Financial Transactions (FA1)

And the best thing is you do not need any previous knowledge of accounting - simply sign up and start learning straight away.

Course discussions will be moderated.

This course does not offer an edX certificate.

However, you can earn the ACCA Certificate in Financial and Management Accounting by registering with ACCA as a student, passing the ACCA’s exams in Recording Financial Transactions (FA1) and Management Information (MA1) and completing a free online module called "Foundations in Professionalism." A free exam preparation course for MA1, called Introduction to Management Accounting, is also available through ACCA-X.