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Basic Program

#### Calculus and Applications

###### Pre-Calculus · University of California, Irvine, Coursera

This course covers mathematical topics in algebra and trigonometry and is designed to prepare students for a calculus course.

###### Calculus: Single Variable – Functions · University of Pennsylvania, Coursera

This course covers the core ideas of single-variable calculus with emphases on conceptual understanding and applications.

###### Calculus: Single Variable – Applications · University of Pennsylvania, Coursera

This part of the course covers computing areas and volumes, geometric and physical applications, averages, mass and introduces probability.

###### Calculus: Single Variable – Discrete Calculus · University of Pennsylvania, Coursera

In this part, the course covers a calculus for sequences, numerical methods, series and convergence tests, power and Taylor series.

#### Differentiation and Integration

###### Calculus: Single Variable – Differentiation · University of Pennsylvania, Coursera

In this part, the course covers derivatives, differentiation rules, linearization, higher derivatives, optimization, differentials, and differentiation operators.

###### Calculus: Single Variable – Integration · University of Pennsylvania, Coursera

This part of the course covers integrating differential equations, techniques of integration, the fundamental theorem of integral calculus, and difficult integrals.

#### Linear Algebra and Matrix

###### Linear Algebra – Foundations to Frontiers · University of Texas at Austin, edX

You will learn: The connection between linear transformations, matrices, and systems of linear equations; Partitioning methods and special characteristics matrices; A variety of algorithms for matrix operations and for solving systems of equations; Vector spaces and various characterizations of linear independence and other themes.

###### Coding the Matrix: Linear Algebra through Computer Science Applications · Brown University, Coursera

In this course, you will learn the concepts and methods of linear algebra, and how to use them to think about problems arising in computer science.

#### Probability

###### Introduction to Statistics: Probability · University of California, Berkeley, edX

This course represents an introduction to probability as well as techniques needed to analyze simple random samples.

###### Introduction to Probability – The Science of Uncertainty · Massachusetts Institute of Technology, edX

In this course, you will get an introduction to probabilistic models, including random processes and the basic elements of statistical inference.

###### Probability · University of Pennsylvania, Coursera

This course takes you through the development of a modern, axiomatic theory of probability.

###### Probability and Statistics · Plekhanov Russian University of Economics, Lectorium

This course is designed for the students majoring in Economics and includes 10 lectures.

#### Statistics

###### Statistics One · Princeton University, Coursera

This course is a comprehensive yet friendly introduction to fundamental concepts in statistics.

###### Introduction to Statistics: Descriptive Statistics · University of California, Berkeley, edX

You will learn: The fundamental concepts and methods of statistics; How to interpret graphical and numerical summaries of data and other themes.

###### Introduction to Statistics: Inference · University of California, Berkeley, edX

The course is an introduction to statistical methods used to make valid conclusions based on data from random samples.

###### Statistics: Making Sense of Data · University of Toronto, Coursera

This course covers methods of data collection, constructing effective graphical and numerical displays to understand the data, how to estimate and describe the error in estimates of some important quantities, and the key ideas in how statistical tests can be used.

###### Data Analysis and Statistical Inference · Duke University, Coursera

The course describes statistics as a science of understanding and analyzing data.

###### Statistics for Business · Indian Institute of Management, Bangalore, edX

The course examines data from the perspective of business and demonstrates how to apply this data to make better decisions.

#### C, C++, C#

###### Google’s C++ Class · Google for Education

This class includes written materials, lecture videos, examples, and exercises to practice C++ coding.

###### C++ For C Programmers, Part A · University of California, Santa Cruz, Coursera

This course is for experienced C programmers who want to program in C++. The examples and exercises require a basic understanding of algorithms and object-oriented software.

###### C# Fundamentals for Absolute Beginners · Microsoft Virtual Academy

Learn C# by stepping through the basics: get the tools, see how to write code, debug features, explore customizations, and more.

###### Programming in C# Jump Start · Microsoft Virtual Academy

This developer training course covers C#, Microsoft’s managed C-style language for the .NET Framework.

#### R

###### R Programming · Johns Hopkins University, Coursera

In this course you will learn how to program in R and how to use R for effective data analysis.

###### Explore Statistics with R · Karolinska Institutet, edX

In this course, you will learn basic statistics in a practical, experimental way, through statistical programming with R.

#### Python

###### Google’s Python Class · Google for Education

This is a class for people with a little bit of programming experience who want to learn Python.

###### Python · Codecademy

In this course, you will learn to program in Python, a powerful language.

###### Getting Started with Python · University of Michigan, Coursera

This course teaches everyone the basics of programming computers using Python.

#### Excel

###### Mastering Data Analysis in Excel · Duke University, Coursera

This course teaches the concepts and mathematical methods and focuses on the two most common types of predictive model – binary classification and linear regression.

###### Excel Training · Office Videos

Training videos for getting the most out of Excel 2013.

###### Analyzing and Visualizing Data with Excel · Microsoft Virtual Academy

This is practical course, taught in short, lecture-based videos, complete with demos, quizzes, and hands-on labs, and skill up on many of the built-in business intelligence (BI) tools and features in Excel.

#### Matlab

###### Introduction to Programming with MATLAB · Vanderbilt University, Coursera

This is an introductory programming course that happens to use MATLAB to illustrate general concepts in computer science and programming.

###### MATLAB Tutorials: Getting Started with MATLAB · MATLAB, YouTube

MATLAB tutorials showing how to get started with MATLAB, including how to enter commands, work in the development environment, and write a MATLAB program.

#### FINANCE AND INVESTMENT

###### CME Group Education · CME Group

CME Group Education is your source for information on the derivatives and risk management industry. Here you will find strategy papers, books, product brochures, and research papers.

###### Futures Fundamentals · CME Group

A Clear Look at the World of Derivatives.

###### Introduction to the NYSE · Global Finance School, OpenSesame

The course will educate on how you should assess your trading strategies, how to get important company information, and more. You will learn how to balance the theoretical trading aspects and the actual trading strategies.

###### LSE Equity Trading Centre · London Stock Exchange Group

You will know many ways that companies can raise finance from using the owner’s own capital, to bank loans, venture capital (private equity) and equity.

###### LSE FOREX Trading Centre · London Stock Exchange Group

You will focus your attention on the foreign exchange market (FX market) which is considered one of the most liquid.

###### LSE CFD Trading Centre · London Stock Exchange Group

A CFD is a contract between two parties in which one pays the other a certain sum of money based on the difference between the current value of the CFD’s underlying financial asset and its value at a specific future date. CFDs are traded daily in Europe and in Asia but not in the USA because of the SEC’s restrictions.

#### Investments

###### Financial Evaluation and Strategy: Investments · University of Illinois at Urbana-Champaign, Coursera

This course teaches the fundamental principles of trading off risk and return, portfolio optimization, and security pricing and explores market efficiency and firm valuation techniques.

###### Alternative Approaches to Valuation and Investment · University of Melbourne, Coursera

In this course, you will develop an understanding of the intuitive foundations of asset and investment valuation, and how alternative valuation techniques may be used in practice.

#### Finance

###### The Language and Tools of Financial Analysis · University of Melbourne, Coursera

In this course, you will learn the foundations of accounting principles and financial analysis develop an understanding of the links between these, and the measurement of value creation at the firm level.

###### Understanding Financial Markets · University of Geneva, Coursera

In this course, you will learn what the main financial markets and their characteristics are as well as how they are linked to the economy.