Intermediate

 

 


 

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E.g., 2017-02-21
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Jul 11th 2017

Learn how to conduct effective user research to better understand what users love, hate, want and need. Designing effective interactive systems requires understanding the needs and capabilities of the people who will be using them.

Average: 4.9 (8 votes)
Mar 7th 2017

Learn everything you need to know to deploy and manage Adobe Experience Manager (AEM) systems at scale. This course will cover how you can take advantage of MongoDB to deploy a highly scalable content repository to support your business needs. Learn about installation, sizing, and the tools available to automate and manage your cluster.

Average: 5.9 (10 votes)
Feb 28th 2017

"Autoliderazgo y Gestión de Emociones para Avanzar en Desafíos Complejos" es un curso práctico, enfocado en tu primer círculo de influencia: tú mismo. El curso te invitará a conectarte con tus propósitos e identificar la forma en la que tus creencias, miedos y hambres con frecuencia dificultan el logro de tus propósitos y tu avance en desafíos de liderazgo. El curso te va a permitir identificar, y si lo decides, trabajar temas personales que te ayudarán a ser más efectivo y a acercarte más a vivir tu vida como quieres vivirla.

Average: 9.5 (2 votes)
Feb 28th 2017

In this course you will learn how to use key finance principles to understand and measure business success and to identify and promote true value creation. You will learn how to use accounting information to form key financial ratios to measure a company’s financial health and to manage a company's short-term and long-term liquidity needs. You will also learn how to use valuation techniques to make sound business investment and acquisition decisions. Finally, you will learn how to incorporate risk and uncertainty into investment decisions and how to evaluate the performance of existing investments.

Average: 4.5 (2 votes)
Feb 27th 2017

This course is an introduction into formal concept analysis (FCA), a mathematical theory oriented at applications in knowledge representation, knowledge acquisition, data analysis and visualization. It provides tools for understanding the data by representing it as a hierarchy of concepts or, more exactly, a concept lattice. FCA can help in processing a wide class of data types providing a framework in which various data analysis and knowledge acquisition techniques can be formulated. In this course, we focus on some of these techniques, as well as cover the theoretical foundations and algorithmic issues of FCA.

Average: 10 (1 vote)
Feb 27th 2017

In this course, participants 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. This is part of a Specialization in corporate finance created in partnership between the University of Melbourne and Bank of New York Mellon (BNY Mellon).

Average: 1 (1 vote)
Feb 27th 2017

In this course you will learn how to create models for decision making. We will start with cluster analysis, a technique for data reduction that is very useful in market segmentation. You will then learn the basics of Monte Carlo simulation that will help you model the uncertainty that is prevalent in many business decisions.

Average: 10 (1 vote)
Feb 27th 2017

This second course in the specialization will last six weeks and will focus on the second main building block of financial analysis and valuation: risk. The notion of risk and statistics are intimately related and we will spend a fair amount of time on the development of some statistical concepts and tools, namely distribution theory and regression analysis. This time will be well spent because these concepts and tools are also commonly used in many applications in the real world. The foundational idea of diversification will then be used to develop a framework for evaluating risk and establishing a relationship between risk and return. Apart from developing a keen appreciation of risk for making thoughtful decisions in an institutional context, this course will contain a lot of material and examples that will enable the learner to make smart personal investing decisions.

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Feb 27th 2017

This is the third course in the Learn English: Advanced Grammar and Punctuation specialty. In this class, you will learn about the advanced grammar concepts of noun clauses and conditionals. You will learn about several different types of each and get lots of practice using them appropriately. This may seem like difficult grammar, but this course will make them easy to understand. These grammar points are essential for any learner trying to master fluency in the English language.

Average: 10 (1 vote)
Feb 27th 2017

This course covers two of the seven trading strategies that work in emerging markets. The seven include strategies based on momentum, momentum crashes, price reversal, persistence of earnings, quality of earnings, underlying business growth, behavioral biases and textual analysis of business reports about the company.

Average: 1 (2 votes)
Feb 27th 2017

How will customers act in the future? What will demand for our products and services be? How much inventory should we order for the next season? Beyond simply forecasting what customers will do, marketers need to understand how their actions can shape future behavior. In Developing Forecasting Tools with Excel, learners will develop an understanding of the basic components of a forecasting model, how to build their own forecasting models, and how to evaluate the performance of forecasting models.

Average: 10 (1 vote)
Feb 27th 2017

The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search, connectivity, shortest paths), and their applications (ranging from deduplication to social network analysis).

Average: 6.8 (4 votes)
Feb 27th 2017

How do consumers see your brand relative to your competitors? How should a new product be positioned when it’s launched? Which customer segments are most interested in our current offerings? For these questions and many others, surveys remain the tried and true method for gaining marketing insights.

Average: 10 (1 vote)
Feb 27th 2017

This Innovation and Entrepreneurship course focuses on the interconnection between entrepreneurial thinking and innovation. Specifically, we look at models used in Silicon Valley to grow both start-up companies as well as innovation inside large organizations. Bringing together top Haas School of Business, UC Berkeley faculty, this course addresses critical areas for successful growth, including design thinking, open innovation, business models, product-market fit, and financing. This course will teach you how to think like an entrepreneur and provides the models, tools and frameworks to further develop your business or idea. An emphasis will be placed on the IT space.

Average: 10 (2 votes)
Feb 27th 2017

Neste curso, assumimos que você já sabe desenvolver programas pequenos em Java, mas você talvez não se sinta ainda confortável em projetar programas mais complexos com método e organização. O objetivo deste curso é fazer você compreender os princípios de orientação a objetos por meio da linguagem Java e saber como eficientemente aplicar esses princípios na prática quando projetando e desenvolvendo software de maneira ágil. Os conceitos discutidos e experimentados por você neste curso serão a base para você poder compreender os novos conceitos apresentados nos cursos seguintes desta especialização.

Average: 5 (1 vote)
Feb 27th 2017

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.

Average: 5.6 (24 votes)
Feb 27th 2017

This course focuses on a range of management techniques. You’ll discover the main skills and competencies of effective leaders, and how to distinguish between management and leadership. The course will cover team dynamics, how to build effective relationships, key motivation theories, and how to use communication to best effect.

Average: 7 (2 votes)
Feb 27th 2017

The course provides guidance on developing a strong application that will allow reviewers to better evaluate the science and merit of your proposal. You will learn how to put your ideas into proper words, arrange a clear and concise paper and search grant market for potential funder. You will also learn how to react to negative feedback from reviewers and resubmit your proposal. The course focuses on useful project management tools and possible budget pitfalls.

Average: 10 (1 vote)
Feb 27th 2017

The primary topics in this part of the specialization are: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal search trees).

Average: 5.3 (3 votes)
Feb 27th 2017

In this course, you will start by reviewing the fundamentals of investments, including the trading off of return and risk when forming a portfolio, asset pricing models such as the Capital Asset Pricing Model (CAPM) and the 3-Factor Model, and the efficient market hypothesis.

Average: 6.3 (6 votes)

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