Mandarin Chinese 1: Chinese for beginners is a beginner's course of Mandarin Chinese. It uses lectures, short plays, interactive exercises and cultural tips to help learners build fundamental capability of oral Chinese in real-life situation.
This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data.
Aprende a analizar y a mejorar los procesos empresariales en servicios o en la industria. Aprende cómo incrementar la productividad y a ofrecer niveles de calidad mayores. Después de que finalices con éxito este curso, podrás aplicar estas habilidades en un reto empresarial del mundo real como parte de la Programa Especializado de Fundamentos Empresariales de Wharton.
This course examines how digital tools, such as the Internet, smartphones, and 3D printing, are revolutionizing the world of marketing by shifting the balance of power from firms to consumers. Marketing in a Digital World is one of the most popular courses on Coursera and has attracted over 100,000 Learners.
Students must learn essential knowledge and skills to deliver an impressive English speech or presentation for academic purposes, job hunting, and business occasions. Global perspectives and inter-cultural communication skills are taught here to facilitate most Chinese English learners. 学习在学术交流、求职、海外留学与商务场景下进行英文演讲与演示所必备的知识与技能，强化中国学生的全球化视角与跨文化沟通技巧。
In this course, professionals at all levels of an organization will learn the best ways to engage an audience they want and need by smartly implementing their important, strategic stories and information and by using proven tools and techniques to enhance an audience’s experiences and interest.
This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple. These applications will involve windows whose contents are graphical and respond to buttons, the keyboard and the mouse.
Learn the basic concepts and approaches needed to understand, create, and perform contemporary music. If you have a passion for music and are curious about how it works, or if you are a musician who learned to play by ear without formal study, this course will provide you with an engaging introduction to key concepts and approaches needed to understand, create, and perform contemporary music. Taught by Berklee College of Music professor George W. Russell, Jr., the course includes six lessons that delve into harmony and ear training—two areas of intensive focus for every entering Berklee student.
Learn the basic concepts of improvisation from Gary Burton, one of the most renowned improvisers in the jazz world, including the mental, melodic, and harmonic processes that contribute to the instinctive skills that an improviser puts to use when taking a solo.
Learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.
This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera.
Get an overview of the data, questions, and tools that data analysts and data scientists work with. This is the first course in the Johns Hopkins Data Science Specialisation. In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, Github, R, and Rstudio.
This course gives you easy access to the invaluable learning techniques used by experts in art, music, literature, math, science, sports, and many other disciplines. We’ll learn about the how the brain uses two very different learning modes and how it encapsulates (“chunks”) information. We’ll also cover illusions of learning, memory techniques, dealing with procrastination, and best practices shown by research to be most effective in helping you master tough subjects.
Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data.