Online courses directory (1728)

Project management is an essential skill-set for many careers and in many contexts in our lives. Introduction to Project Management is an ideal starting point if you need to manage projects at work or at home, while not necessarily being a formally trained project manager. It is also suitable if you are considering undertaking a project in the near future and are seeking to learn and apply essential project management knowledge and skills.

To deliver a project successfully, it’s important to start by clearly identifying what the project is, and what its outcomes will be. In the course, we will show you practical ways to explore and understand your goals from the outset of your project, and to consider all the factors that may affect its execution. Step by step you will learn how to plan, scope, schedule, cost and manage your project from beginning to end. Since every project relies on the people who are delivering it, the course also enables you to explore how you can effectively communicate, manage people and employ leadership skills to successfully deliver your own project.

In Introduction to Project Management, you will learn practical ways to use project management skills, whether your project is large or small. Join us to explore how you can benefit from using project management techniques in your own projects.

Do we really only use 10% of our brain? How can we answer questions like this? We shouldn’t just rely on our intuition, because unfortunately that can sometimes give us the incorrect answer.

In this psychology course, learn how psychological research is conducted, how to analyze the findings and results and effectively write a research report.

An understanding of psychological research methods allows us to test questions systematically and report the findings of our research so that others can critically evaluate the validity of our conclusions.

Psychology is the academic and applied study of the human mind and behavior. Perhaps there are no more salient topics in the information age and the global economy than a comprehensive understanding of how learning takes place and what predicts and determines human behavior. The course is a primer, meant to provide substantive content through which to understand the human condition and to inspire students to continue their learning and growth.
 
Students interested in the study of psychology are interested in why people do, say and think what they do. They have questions about how learning takes place, how genetics dictate certain traits but not others, how memories are formed, where to draw the line between normality and disorder, whether a damaged brain can regain function and the predictors of addiction.
 
Through this introductory course, students will have the opportunity to understand the science of psychology and how psychologists measure mental function and behavior and how the results are reported. They will better understand perception and consciousness and the mysteries of sleep and dreams. Through child development, they will understand how the brain is ready for learning and pre-wired for language. Motivation, cognition and personality will be analyzed through the lens of past and current psychological thought. Students will understand the statistical reality of the normal distribution and how that is relevant to most traits. They will review new research on the plasticity of the brain and consider whether intelligence is fixed or flexible. Lastly, the array of disorders and dysfunction will be analyzed and discussed and the line between normal and abnormal will be considered.

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

This course is being offered in an experimental format. Students are welcome to audit the course, and participate in all course activities. Certificates will not be issued.

This course is designed to help you become a more effective and confident public speaker. We will demystify the process of writing, practicing, and performing a clear and engaging speech, work through the unique traits of oral versus written communication, and learn how to prepare speeches that are easier to deliver orally and understand aurally.

One of the best ways to refine your own speech ability is through a close study of others' speeches. We will have a number of opportunities to examine and discuss sample speeches and speakers. Growing out of our analysis of speakers, we will discuss who you hold up as a model speaker and analyze what makes that speaker effective. We will critically examine our own speeches and the speeches of others. By becoming a student of public speaking, you join a long history of rhetorical study dating back to ancient Greece.

This course is adapted from a similar class offered by the Bachelor of Arts in Integrated Social Sciences, a fully online degree completion program from the University of Washington.

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

Python is a very powerful programming language used for many different applications. Over time, the huge community around this open source language has created quite a few tools to efficiently work with Python. In recent years, a number of tools have been built specifically for data science. As a result, analyzing data with Python has never been easier.

In this practical course, you will start from the very beginning, with basic arithmetic and variables, and learn how to handle data structures, such as Python lists, Numpy arrays, and Pandas DataFrames. Along the way, you’ll learn about Python functions and control flow. Plus, you’ll look at the world of data visualizations with Python and create your own stunning visualizations based on real data.

Brand new to text-based programming? Check out this hands-on course for an in-depth look at the details of Python layers and concepts. Get ample practice drills and projects, using Jupyter Notebooks on Azure, which require only a browser and an Internet connection. Learn best practices and begin coding almost immediately.

After you explore data types and variables, take a look at strings, input, testing, and formatting. From there, learn about arguments and parameters, along with conditionals and nested conditionals. By the end of the course, you’ll be able to create programs that prompt users for input and use conditional (True/False) logic and Python methods to manipulate numbers and text to provide responses to the users, in addition to requesting further input. Plus, learn basic troubleshooting for your code. Sign up, and get started coding right away!

Ready for next steps? Take the Introduction to Python: Fundamentals course.

Ready for more hands-on, step-by-step Python fundamentals? Add to the foundational experience you got in the Introduction to Python: Absolute Beginner, and explore data structures. Get lots of practice working with sample code in Jupyter Notebooks on Azure, which require only a browser and an Internet connection.

Focus on Python data structures, and work with string, list, and range sequences. Discover the power of list iteration, and learn about string and list methods. From there, get the details on file input and output—open files, read them, add to them, close them, and more. At the end of the course, you’ll be able to slice strings into substrings, create lists, iterate through them, import files, and use file append mode, along with a lot of other practical Python tasks, as you get started coding.

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

R is rapidly becoming the leading language in data science and statistics. Today, R is the tool of choice for data science professionals in every industry and field. Whether you are full-time number cruncher, or just the occasional data analyst, R will suit your needs.

This introduction to R programming course will help you master the basics of R. In seven sections, you will cover its basic syntax, making you ready to undertake your own first data analysis using R. Starting from variables and basic operations, you will eventually learn how to handle data structures such as vectors, matrices, data frames and lists. In the final section, you will dive deeper into the graphical capabilities of R, and create your own stunning data visualizations. No prior knowledge in programming or data science is required.

What makes this course unique is that you will continuously practice your newly acquired skills through interactive in-browser coding challenges using the DataCamp platform. Instead of passively watching videos, you will solve real data problems while receiving instant and personalized feedback that guides you to the correct solution.

Enjoy!

ReactJS is the latest JavaScript framework to capture the hearts and attention of the frontend developer community.

Developers love ReactJS because it highly performant and renders changes almost instantly. The best part about ReactJS is that it is a relatively small framework and does not take too much time to learn!

Starting with the basics of JSX syntax, this course will teach you how to model UI components using React Components. By the end you should be able to manage the state and life cycle of React Components and use them to dynamically generate lists and forms.

This computer science course provides an overview on designing and analyzing real-time operating systems (RTOS). Found in most mission critical and infrastructure systems, real-time systems are both challenging and rewarding to build. 

Derived from the course instructor’s ground-breaking text on the subject, learn about real-time systems from one of the leading educators in the field.

A minimum understanding of computing principles at a high school level is suggested. Join us as we adventure into the world of real-time systems.

Verified students are eligible to earn Continuing Education Units (CEUs) and Professional Development Hours (PDHs), valid toward continuing education requirements for many professional certifications.

This economics and finance course is an introductory survey of risk management concepts and techniques. Learners will review the role of risk regulation in financial markets, and learn how to identify and describe the various types of financial risk and their sources.

Upon completion of this course, participants will receive a certificate bearing the New York Institute of Finance (NYIF) name. A NYIF certificate is a valuable addition to your credentials, proving that you have acquired the work-ready skills that employer’s value.

For those who wish to go further, students can enroll in the other four modules to earn the complete Risk Management Professional Certificate, backed by the New York Institute of Finance’s 93-year history. As a final option, students may also opt to sit for the NYIF Certificate of Mastery Exam, resulting in the Risk Management Certificate of Mastery upon successful completion.

Oil Country Tubular Goods (OCTG) casing and tubing play a critical role in the drilling and completion of oil and gas wells. “Introduction to Running Pipe in Oil and Gas Wells” will explain how to prepare and install OCTG in oil and gas wells safely, illustrating best practices that contribute to operational reliability and efficiency and minimize environmental impact.

Want to know how to engage healthcare learners through simulation? This education and teacher training course is intended to give a brief introduction for academic or clinical-based educators who desire to learn the simulation pedagogy unique to healthcare environments.

Unfortunately, being a great clinical educator does not always translate into being a great simulation educator. In this course, you will learn best practices for simulation in healthcare education and why it’s so important. Faculty experts will show you how developing simulation curricular tools can be used to train and evaluate providers. While many educators use simulation, not all are utilizing it to its full potential. Simulation in healthcare is only growing and experience in this educational tool is beneficial to all that educate or have aspirations to have a positive affect on patient outcomes.

Learner Testimonial

“I cannot tell you how valuable learning about healthcare simulation was to my professional development, I refer back to it constantly in my role as a nursing educator.”-- Previous Student

We often have firmly held beliefs about why people think and behave the way they do. Sometimes our intuitions are correct, but often they are not.

Social psychology helps us understand how people think about themselves and other people and what motivates their behaviour in social settings.

This course explores a range of topics in social psychology, from how we think about ourselves, how we think about others, and how we interact and communicate with others. We will also discuss the ways that we can influence others and be influenced by others. Finally, we look at some problematic aspects of human behaviour, such as prejudice and aggression.

You should take this course if you are curious about why we behave the way we do.

Very often we see, hear or experience things that seem "strange" and incomprehensible to us. We start to wonder about the world around us, asking questions like: “How do certain people become billionaires when others are homeless? Why do humans worship Gods or form families? What makes killing in war acceptable but not in any other situation?”

If you have ever wondered about these issues and/or other, you aren’t alone. Similar questions have been asked since the beginning of history, and searching for objective answers using scientific research is the goal of sociology. 

This course is designed to look critically and analytically through different sociological perspectives, including the functionalist, interactionist, conflict and feminist, to help us realize the extent to which society guides our thoughts and actions. The course material provides a fresh, new look at societies and cultures—more objective, full of inquiry and analysis, striving towards social justice and change. Sociology urges us to draw connections between public issues and personal problems, to see the strange as familiar and the familiar as strange, and to examine biography in a historical and social context.

Issues of inequalities, social class, race, sexual orientation, disability, age and gender are critically examined within a global perspective in this course. You do not need any prior knowledge of sociological theories or methods to take this class.  Bring your life experiences and knowledge, and see how the Sociological Imagination will allow you to dispel cultural myths and reframe reality.

This course will cover topics found on the CLEP Sociology exam.

In this introductory 4-credit hour lecture and laboratory course, we will explore the origins, structure, contents, and evolution of our solar system and exosolar planetary systems. We will cover the history of astronomy, properties of light, instruments, the study of the solar system and nearby stars.

Throughout the course, we will learn about the Discovery Channel Telescope, the Lowell Observatory, the Challenger Space Center, and Meteor Crater, the world’s best-preserved meteorite impact site on Earth. We will also get a chance to virtually walk through the Lunar Exploration Museum and Arizona State University’s Moeur Building, home of the Mars Space Flight Facility where ASU scientists and researchers are using spacecraft instruments on Mars to explore the geology and mineralogy of the red planet.

This course satisfies the Natural Science — Quantitative (SQ) general studies requirement at Arizona State University. Introduction to Astronomy may satisfy a general education requirement at other institutions; however, it is strongly encouraged that you consult with your institution of choice to determine how these credits will be applied to their degree requirements prior to transferring the credit.

This first-year University chemistry course explores the basic principles of the chemical bond by studying the properties of solids. Properties such as stiffness, electrical conductivity, thermal expansion, strength, and optical properties are the vehicle by which you can learn a great deal of practical chemistry. 

You will see how experts use their knowledge of trends in the periodic table to predict the properties of materials. 3.091x is an engineering course so there is an emphasis on applications and how materials are used. The on-campus version of the course has been taught for over forty years and is one of the largest classes at MIT.

This course will cover the relationship between electronic structure, chemical bonding, and atomic order, and characterization of atomic arrangements in crystalline and amorphous solids: metals, ceramics, semiconductors, and polymers (including proteins). There will be topical coverage of organic chemistry, solution chemistry, acid-base equilibria, electrochemistry, biochemistry, chemical kinetics, diffusion, and phase diagrams. Examples will be drawn from industrial practice (including the environmental impact of chemical processes), from energy generation and storage (e.g., batteries and fuel cells), and from emerging technologies (e.g., photonic and biomedical devices). 

The "sense-and-correct" nature of feedback controllers make them an appealing choice for systems whose actuators, or environments, are highly variable. If the system also requires high performance (e.g. an industrial robot, a car, or an aircraft), the usual approach is to use a state-space feedback controller derived from a physics-based model. And when performance is less critical (e.g. for toys and appliances), the traditional choice has been to tune a low-cost proportional-derivative-integral (PID) controller.

Over the last few years, much has changed. The dramatic decline in the cost of accurate sensors and fast microcontrollers have made state-space controllers practical even for inexpensive toys. In addition, modeling approaches have become far more reliant on measurement and computation rather than physics and analysis. In this course, we examine the theory and application of this arc of alternatives to control, starting with PID, then moving to physical-modeling and state-space, and ending with state-space using measurement-based modeling. In each case, you will design and test controllers with your own copter-levitated arm, to solidify your understanding and to gain insight in to the practical issues.

PLEASE NOTE: This is intended to be an advanced course and students should have a background in linear algebra and differential equations, as well as some experience with control systems. IN ADDITION: THIS IS A BETA COURSE, THINGS WILL GO WRONG. We are testing a new type of on-line class, one where students use advanced concepts to design and then examine performance results on their own hardware. There will be difficulties, and we will be updating content and focus in response to student input.

This data course is a primer to statistical genetics and covers an approach called linkage disequilibrium mapping, which analyzes non-familial data and has been successfully used to identify genetic variants associated with common and complex genetic traits.

We hope many students find this introductory course interesting and are motivated to study further topics in statistical genetics to understand biological variation from statistical standpoints.

Previous knowledge of molecular genetics and basic statistical concepts, such as statistical tests and estimation, is required. Basic knowledge on genetic variations is offered at the start of the course.

We are surrounded by information, much of it numerical, and it is important to know how to make sense of it. Stat2x is an introduction to the fundamental concepts and methods of statistics, the science of drawing conclusions from data.

The course is the online equivalent of Statistics 2, a 15-week introductory course taken in Berkeley by about 1,000 students each year. Stat2x is divided into three 5-week components. Stat2.1x is the first of the three.

The focus of Stat2.1x is on descriptive statistics. The goal of descriptive statistics is to summarize and present numerical information in a manner that is illuminating and useful. The course will cover graphical as well as numerical summaries of data, starting with a single variable and progressing to the relation between two variables. Methods will be illustrated with data from a variety of areas in the sciences and humanities.

There will be no mindless memorization of formulas and methods. Throughout Stat2.1x, the emphasis will be on understanding the reasoning behind the calculations, the assumptions under which they are valid, and the correct interpretation of results.

FAQ

• What is the format of the class?
  • Instruction will be consist of brief lectures and exercises to check comprehension. Grades (Pass or Not Pass) will be decided based on a combination of scores on short assignments, quizzes, and a final exam.
• How much does it cost to take the course?
  • Nothing! The course is free.
• Will the text of the lectures be available?
  • Yes. All of our lectures will have transcripts synced to the videos.
• Do I need to watch the lectures live?
  • No. You can watch the lectures at your leisure.
• Can I contact the Instructor or Teaching Assistants?
  • Yes, but not directly. The discussion forums are the appropriate venue for questions about the course. The instructors will monitor the discussion forums and try to respond to the most important questions; in many cases response from other students and peers will be adequate and faster.
• Do I need any other materials to take the course?
  • If you have any questions about edX generally, please see the edX FAQ.