Our Courses

Managerial Accounting Fundamentals

Managerial Accounting Fundamentals

This course, developed at the Darden School of Business at the University of Virginia and taught by top-ranked faculty, will teach you the fundamentals of managerial accounting including how to navigate the financial and related information managers need to help them make decisions. You'll learn about cost behavior and cost allocation systems, how to conduct cost-volume-profit analysis, and how to determine if costs and benefits are relevant to your decisions.

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  • 13 hours
  • English
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Advanced Machine Learning and Signal Processing

Advanced Machine Learning and Signal Processing

>>> By enrolling in this course you agree to the End User License Agreement as set out in the FAQ. Once enrolled you can access the license in the Resources area <<<\n\nThis course, Advanced Machine Learning and Signal Processing, is part of the IBM Advanced Data Science Specialization which IBM is currently creating and gives you easy access to the invaluable insights into Supervised and Unsupervised Machine Learning Models used by experts in many field relevant disciplines.

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  • 28 hours
  • English
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Foundations of Business Strategy

Foundations of Business Strategy

Develop your ability to think strategically, analyze the competitive environment, and recommend firm positioning and value creation. In this course, developed at the Darden School of Business at the University of Virginia, top-ranked faculty will help you explore the underlying theory and frameworks that provide the foundations of a successful business strategy and provide the tools you need to understand that strategy: SWOT, Competitor, Environmental, Five Forces, and Capabilities Analyses, as well as Strategy Maps.

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  • 9 hours
  • English
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Creative Writing: The Craft of Character

Creative Writing: The Craft of Character

At the center of a good story are the characters in it. In this course aspiring writers will discover how to build and bring to life complex, vivid and unforgettable characters. We will study the choices a writer makes to bring all characters to life on the page, and we will perform written exercises in order to develop a variety of writing and pre-writing techniques, in order to create a variety of characters. We will learn how to use our own life experiences, and the people we know (and how not to!).

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  • 6 hours
  • English
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Big Data - Capstone Project

Big Data - Capstone Project

Welcome to the Capstone Project for Big Data! In this culminating project, you will build a big data ecosystem using tools and methods form the earlier courses in this specialization. You will analyze a data set simulating big data generated from a large number of users who are playing our imaginary game "Catch the Pink Flamingo". During the five week Capstone Project, you will walk through the typical big data science steps for acquiring, exploring, preparing, analyzing, and reporting.

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  • 21 hours
  • English
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Portfolio Selection and Risk Management

Portfolio Selection and Risk Management

When an investor is faced with a portfolio choice problem, the number of possible assets and the various combinations and proportions in which each can be held can seem overwhelming. In this course, you’ll learn the basic principles underlying optimal portfolio construction, diversification, and risk management. You’ll start by acquiring the tools to characterize an investor’s risk and return trade-off. You will next analyze how a portfolio choice problem can be structured and learn how to solve for and implement the optimal portfolio solution.

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  • 23 hours
  • English
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Business English: Capstone Project

Business English: Capstone Project

The capstone project will give you opportunities to demonstrate your competence in the learning objectives for this Specialization. For the project, you’ll use formal, written methods and more casual visual and audio methods of communication to demonstrate your ability to use language appropriate for different business contexts.

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  • 31 hours
  • English
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Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

Welcome to the Cloud Computing Applications course, the second part of a two-course series designed to give you a comprehensive view on the world of Cloud Computing and Big Data!\n\nIn this second course we continue Cloud Computing Applications by exploring how the Cloud opens up data analytics of huge volumes of data that are static or streamed at high velocity and represent an enormous variety of information. Cloud applications and data analytics represent a disruptive change in the ways that society is informed by, and uses information.

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  • 20 hours
  • English
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Fitting Statistical Models to Data with Python

Fitting Statistical Models to Data with Python

In this course, we will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data. We will build on the concepts presented in the Statistical Inference course (Course 2) to emphasize the importance of connecting research questions to our data analysis methods.

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  • 15 hours
  • English
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Fundamentals of Scalable Data Science

Fundamentals of Scalable Data Science

Apache Spark is the de-facto standard for large scale data processing. This is the first course of a series of courses towards the IBM Advanced Data Science Specialization. We strongly believe that is is crucial for success to start learning a scalable data science platform since memory and CPU constraints are to most limiting factors when it comes to building advanced machine learning models.\n\nIn this course we teach you the fundamentals of Apache Spark using python and pyspark.

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  • 22 hours
  • English
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Leading Teams: Developing as a Leader

Leading Teams: Developing as a Leader

In this foundational course, you will be challenged to develop as a leader. You will explore the concept of leadership, assess required competencies for today's leaders, learn more about yourself and how you can make effective and ethical decisions, identify how to build trusting relationships with others, and articulate a practice for growing as a leader.\n\nThis course is part of Gies College of Business’ suite of online programs, including the iMBA, iMSA and iMSM.

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  • 14 hours
  • English
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Auditing I: Conceptual Foundations of Auditing

Auditing I: Conceptual Foundations of Auditing

This course provides an intensive conceptual and applied introduction to auditing in society. It focuses on concepts and applications related to financial-statement auditors’ professional responsibilities as well as major facets of the audit process including risk assessment and audit reporting. In the U.S. financial-statement audits and related services generally are provided by Certified Public Accountants (CPAs).

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  • 28 hours
  • English
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Write A Feature Length Screenplay For Film Or Television

Write A Feature Length Screenplay For Film Or Television

Write a Full Length Feature Film Script\n\nIn this course, you will write a complete, feature-length screenplay for film or television, be it a serious drama or romantic comedy or anything in between. You’ll learn to break down the creative process into components, and you’ll discover a structured process that allows you to produce a polished and pitch-ready script by the end of the course. Completing this project will increase your confidence in your ideas and abilities, and you’ll feel prepared to pitch your first script and get started on your next.

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  • 93 hours
  • English
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Java Programming: Principles of Software Design

Java Programming: Principles of Software Design

Solve real world problems with Java using multiple classes. Learn how to create programming solutions that scale using Java interfaces. Recognize that software engineering is more than writing code - it also involves logical thinking and design. By the end of this course you will have written a program that analyzes and sorts earthquake data, and developed a predictive text generator.\n\nAfter completing this course, you will be able to:\n1. Use sorting appropriately in solving problems;\n2. Develop classes that implement the Comparable interface;\n3.

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  • 13 hours
  • English
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Inferential and Predictive Statistics for Business

Inferential and Predictive Statistics for Business

This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. To this end, the course aims to cover statistical ideas that apply to managers by discussing two basic themes: first, is recognizing and describing variations present in everything around us, and then modeling and making decisions in the presence of these variations. The fundamental concepts studied in this course will reappear in many other classes and business settings.

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  • 19 hours
  • English
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Big Data Modeling and Management Systems

Big Data Modeling and Management Systems

Once you’ve identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions? In this course, you will experience various data genres and management tools appropriate for each. You will be able to describe the reasons behind the evolving plethora of new big data platforms from the perspective of big data management systems and analytical tools. Through guided hands-on tutorials, you will become familiar with techniques using real-time and semi-structured data examples.

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  • 13 hours
  • English
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Brand and Product Management

Brand and Product Management

The main objective is identify the critical information needed to develop a product and brand strategy that generates both quick wins and long-term value. Along this course, you will learn brand and product strategy key concepts such as product lifecycle, product demand estimation, product and brand development and launching, product pipeline, competitors analysis, brand essence and identity, brand architecture, brand equity, brand portfolio, customer experience journey, purchase funnel, key customer touchpoints and brand engagement.

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  • 14 hours
  • English
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Japanese Architecture and Structural Design

Japanese Architecture and Structural Design

In this revised course, fundamental and modern approaches to Japanese structural design will be explained using historical overviews and Tokyo-Tech’s campus buildings as case studies. Learners will be able to interpret and apply seismic design concepts like energy-dissipating braced frames, spine frames, seismic retrofit, seismic isolation and seismic design of spatial structures.

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  • English
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Introduction to Computer Science and Programming

Introduction to Computer Science and Programming

The term “Computation” refers to the action performed by a computer. A computation can be a basic operation and it can also be a sophisticated computer simulation requiring a large amount of data and substantial resources. This course aims at introducing learners with no prior knowledge to the basic key concepts of computer science. By following the lectures and exercises of this course, you will gain an understanding of algorithms by programming using the language Ruby.

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Introduction to Typography

Introduction to Typography

Typography is the art of manipulating the visual form of language to enrich and control its meaning. It’s an essential area of skill and knowledge for graphic designers. Typography predates modern graphic design by around 500 years; it is rich in rules, conventions, and esoteric terminology—but it remains an exciting space for invention and expression.\n\nIn this rigorous introductory course, we will study, name, and measure the characteristics of letterforms. We’ll consider the pragmatic concerns involved in selecting and combining type.

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  • 9 hours
  • English
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Pointers, Arrays, and Recursion

Pointers, Arrays, and Recursion

The third course in the specialization Introduction to Programming in C introduces the programming constructs pointers, arrays, and recursion. Pointers provide control and flexibility when programming in C by giving you a way to refer to the location of other data. Arrays provide a way to bundle data by guaranteeing sequences of data are grouped together. Finally, recursive functions—functions that call themselves—provide an alternative to iteration that are very useful for implementing certain algorithms.

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  • 21 hours
  • English
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Financial Accounting: Foundations

Financial Accounting: Foundations

In this course, you will learn foundations of financial accounting information. You will start your journey with a general overview of what financial accounting information is and the main financial statements. You will then learn how to code financial transactions in financial accounting language. In the meantime, you will learn about the most important concept in contemporary financial accounting: accrual accounting. You will then critically analyze how firms recognize revenues.

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  • 14 hours
  • English
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Writing Skills for Engineering Leaders

Writing Skills for Engineering Leaders

Engineering leaders must write extensively for their jobs, and their writing needs to be professional, reader-focused, and error-free. What leaders write in particular can affect productivity and the bottom line, so the written communication that leaders create must be clear and concise. In this course, you’ll learn essential writing skills that you can apply in your daily activities on the job as an engineering leader.

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  • 17 hours
  • English
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Cloud Computing Concepts: Part 2

Cloud Computing Concepts: Part 2

Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies – all centered around distributed systems. Learn about such fundamental distributed computing "concepts" for cloud computing.\n \nSome of these concepts include: clouds, MapReduce, key-value/NoSQL stores, classical distributed algorithms, widely-used distributed algorithms, scalability, trending areas, and much, much more! \n \nKnow how these systems work from the inside out.

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  • 20 hours
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Fundamentals of Visualization with Tableau

Fundamentals of Visualization with Tableau

In this first course of this specialization, you will discover what data visualization is, and how we can use it to better see and understand data. Using Tableau, we’ll examine the fundamental concepts of data visualization and explore the Tableau interface, identifying and applying the various tools Tableau has to offer. By the end of the course you will be able to prepare and import data into Tableau and explain the relationship between data analytics and data visualization.

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  • 11 hours
  • English
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