Online courses directory (4179)

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Udemy Free Closed [?] Error occured ! We are notified and will try and resolve this as soon as possible.
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Iníciate con este Curso introductorio en el mundo de las Apps para iPhone y iPad.

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Udemy Free Closed [?] Canvas.net Histology

Gain an insight to our PRINCE2 Foundation Certification course by reviewing this Introduction/Demo course.

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MIT OpenCourseWare (OCW) Free Diencephalon Infor Information control Information Theory Nutrition

This course provides an introduction to the chemistry of biological, inorganic, and organic molecules. The emphasis is on basic principles of atomic and molecular electronic structure, thermodynamics, acid-base and redox equilibria, chemical kinetics, and catalysis. One year of high school chemistry is the expected background for this freshman-level course.

The aims include developing a unified and intuitive view of how electronic structure controls the three-dimensional shape of molecules, the physical and chemical properties of molecules in gases, liquids and solids, and ultimately the assembly of macromolecules as in polymers and DNA. Relationships between chemistry and other fundamental sciences such as biology and physics are emphasized, as are the relationships between the science of chemistry to its applications in environmental science, atmospheric chemistry and electronic devices. 

Click to get started.

Acknowledgements

Professor Drennan would like to acknowledge the contributions of MIT Lecturer Dr. Elizabeth Vogel Taylor, Professor Sylvia Ceyer, and Professor Robert Silbey to the development of this course and its materials.

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OLI. Carnegie Mellon University Free Computer Sciences Glass ionomers Newborn respiratory diseases

This course provides an introduction to Python and elementary principles of computing, including iteration, recursion, and binary representation of data. Additional topics on cellular automata, encryption, and the limits of computation are also introduced. The goal of this course is to introduce some of the techniques used in computer science to solve complex problems, with or without a computer. The Python modules are used to introduce and illustrate conditionals and iteration; additional topics are provided without using a specific programming language and can be incorporated into classes that do not use Python.

2 votes
OLI. Carnegie Mellon University Free Business Glass ionomers Newborn respiratory diseases

This course teaches the core principles of economics using a collection of experiments and workbooks. In the experiments, students become traders in a market and attempt to make profitable deals with one another. At the conclusion of the experiment, the data are used to form a customized, online workbook. Each workbook guides the student through the analysis of the experiment’s outcome, while simultaneously presenting the key ideas and core principles in economics needed to gain a deeper understanding of both the experiment and economic life. In these experiments the student is both a participant and an observer. As a participant, the student experiences first hand the issues that all economic agents must confront; as an observer, the student sees how modern economic theory can explain the complex interactions that occur in both the experiments, and the economic world at large. Students often report that they learn nearly as much about economic principles from their experience as a participant as they do from their analysis of the experiment as an observer. Students learning on their own or in small classes (generally fewer than 10 students) can still use the workbooks, but will be given synthetic data. Small numbers of students participating in experiments does not yield enough data for the workbooks.

19 votes
Udemy Free Closed [?] Canvas.net Histology

Uses of Accounting Information and the Financial Statements

13 votes
Udemy Free Closed [?] Canvas.net Histology

Analyzing Business Transactions

14 votes
Udemy Free Closed [?] Canvas.net Histology

Measuring Business Income

18 votes
Udemy Free Closed [?] Canvas.net Histology

Financial Reporting and Analysis

14 votes
Udemy Free Closed [?] Canvas.net Histology

Merchandising Operations

16 votes
Udemy Free Closed [?] Canvas.net Histology

Inventories

15 votes
Udemy Free Closed [?] Canvas.net Histology

Cash and Receivables

24 votes
Udemy Free Closed [?] Canvas.net Histology

Time Value of Money

15 votes
MIT OpenCourseWare (OCW) Free Business Infor Information control Information Theory Nutrition Structural+engineering

14.01 Principles of Microeconomics is an introductory undergraduate course that teaches the fundamentals of microeconomics. This course introduces microeconomic concepts and analysis, supply and demand analysis, theories of the firm and individual behavior, competition and monopoly, and welfare economics. Students will also be introduced to the use of microeconomic applications to address problems in current economic policy throughout the semester.

This course is a core subject in MIT's undergraduate Energy Studies Minor. This Institute-wide program complements the deep expertise obtained in any major with a broad understanding of the interlinked realms of science, technology, and social sciences as they relate to energy and associated environmental challenges.

Course Format


Click to get started. This course has been designed for independent study. It includes all of the materials you will need to understand the concepts covered in this subject. The materials in this course include:

  • A complete set of Lecture Videos by Prof. Jon Gruber.
  • Reading Assignments in your choice of two textbooks – one of which is a free online edition - as preparation for the lectures.
  • Multiple-choice Quizzes to assess your understanding of the key concepts in each session.
  • Problem Sets with solution keys to test your ability to apply to concepts covered in lecture, and Problem Solving Videos to provide step-by-step instruction through several problem set solutions.
  • A collection of links For Further Study to provide supplemental online content.
  • A full set of Exams, including review material and practice exams to help you prepare.

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Udemy Free Closed [?] online interaction Histology

Learn the essentials required to take up advanced courses on Pain Management

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Udemy Free Closed [?] Histology Navigation+SAP

In this course I will introduce you to the basic simple interest formulas and how to solve problems with them.

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MIT OpenCourseWare (OCW) Free Before 1300: Ancient and Medieval History Infor Information control Information Theory Nutrition

This course introduces students to the modeling, quantification, and analysis of uncertainty.  The tools of probability theory, and of the related field of statistical inference, are the keys for being able to analyze and make sense of data. These tools underlie important advances in many fields, from the basic sciences to engineering and management.

Course Format


Click to get started. This course has been designed for independent study. It provides everything you will need to understand the concepts covered in the course. The materials include:

  • Lecture Videos by MIT Professor John Tsitsiklis
  • Lecture Slides and Readings
  • Recitation Problems and Solutions
  • Recitation Help Videos by MIT Teaching Assistants
  • Tutorial Problems and Solutions
  • Tutorial Help Videos by MIT Teaching Assistants
  • Problem Sets with Solutions
  • Exams with Solutions

 

88 votes
Khan Academy Free Closed [?] Mathematics Class2Go Growth

Basic probability. Should have a reasonable grounding in basic algebra before watching. Basic Probability. Example: Marbles from a bag. Example: Picking a non-blue marble. Example: Picking a yellow marble. Term Life Insurance and Death Probability. Probability with Playing Cards and Venn Diagrams. Addition Rule for Probability. Compound Probability of Independent Events. Getting At Least One Heads. Example: Probability of rolling doubles. LeBron Asks: What are the chances of making 10 free throws in a row?. LeBron Asks: What are the chances of three free throws versus one three pointer?. Frequency Probability and Unfair Coins. Example: Getting two questions right on an exam. Example: Rolling even three times. Introduction to dependent probability. Example: Dependent probability. Example: Is an event independent or dependent?. Example: Bag of unfair coins. Monty Hall Problem. Example: All the ways you can flip a coin. Example: Probability through counting outcomes. Permutations. Combinations. Example: Ways to arrange colors. Example: 9 card hands. Example: Ways to pick officers. Getting Exactly Two Heads (Combinatorics). Probability and Combinations (part 2). Probability using Combinations. Exactly Three Heads in Five Flips. Generalizing with Binomial Coefficients (bit advanced). Example: Different ways to pick officers. Example: Combinatorics and probability. Example: Lottery probability. Mega Millions Jackpot Probability. Conditional Probability and Combinations. Birthday Probability Problem. Random Variables. Discrete and continuous random variables. Probability Density Functions. Expected Value: E(X). Binomial Distribution 1. Binomial Distribution 2. Binomial Distribution 3. Binomial Distribution 4. Expected Value of Binomial Distribution. Poisson Process 1. Poisson Process 2. Law of Large Numbers. Introduction to Random Variables. Probability (part 1). Probability (part 2). Probability (part 3). Probability (part 4). Probability (part 5). Probability (part 6). Probability (part 7). Probability (part 8).

15 votes
Udemy Free Closed [?] Histology Navigation+SAP

The foundations of basic probability.

3 votes
OLI. Carnegie Mellon University Free Mathematics Glass ionomers Newborn respiratory diseases

This course introduces students to the basic concepts and logic of statistical reasoning and gives the students introductory-level practical ability to choose, generate, and properly interpret appropriate descriptive and inferential methods. In addition, the course helps students gain an appreciation for the diverse applications of statistics and its relevance to their lives and fields of study. The course does not assume any prior knowledge in statistics and its only prerequisite is basic algebra. We offer two versions of statistics, each with a different emphasis: Probability and Statistics and Statistical Reasoning. Each course includes all expository text, simulations, case studies, comprehension tests, interactive learning exercises, and the StatTutor labs. Each course contains all of the instructions for the four statistics packages options we support. To do the activities, you will need your own copy of Microsoft Excel, Minitab, the open source R software, TI calculator, or StatCrunch. One of the main differences between the courses is the path through probability. Probability and Statistics includes the classical treatment of probability as it is in the earlier versions of the OLI Statistics course.

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