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  • Technology
    Beginner

    Chi-Square Tests of Hypotheses About Frequency Tables

    This is primarily aimed at first- and second-year undergraduates interested in psychology, data analysis, and quantitative research methods along with high school students and professionals with similar interests. This course provides a comprehensive understanding of chi-square analyses of contingency tables, including when and how to use them, formulating appropriate hypotheses, and understanding their underlying logic and assumptions. Students will gain practical skills in conducting chi-square goodness-of-fit tests and tests of independence, as well as analyzing effect sizes. Table of Contents: The Frequency Tables and Chi-Square Test The Chi-Square Goodness-of-Fit Test The Chi-Square Test of Independence

    900 min
    View details: Chi-Square Tests of Hypotheses About Frequency Tables
  • Business
    Beginner

    High-Impact Business Writing

    Effective writing is a powerful tool in the business environment. Learn how to articulate your thoughts in a clear and concise manner that will allow your ideas to be better understood by your readers. Improve your business writing skill by learning to select and use appropriate formats for your audience, use the correct medium and adjust your writing style accordingly, as well as identify your objective and communicate it clearly. You'll also learn to spot, correct and avoid the most common writing pitfalls, and gain valuable experience analyzing, writing and revising a wide spectrum of business documents. From a simple email to a complete report, learn how to put good business writing to work for you. Upon completing this course, you will be able to: 1. Write effective business communications, including bad news, good news, persuasive writing, presentations, emails, memos, business reports and press releases 2. Learn how to edit and proofread business documents 3. Learn how to write for a global market

    480 min
    View details: High-Impact Business Writing
  • Technology
    Beginner

    Using probability distributions for real world problems in R

    By the end of this project, you will learn how to apply probability distributions to solve real world problems in R, a free, open-source program that you can download. You will learn how to answer real world problems using the following probability distributions – Binomial, Poisson, Normal, Exponential and Chi-square. You will also learn the various ways of visualizing these distributions of real world problems. By the end of this project, you will become confident in understanding commonly used probability distributions through solving practical problems and you will strengthen your core concepts of data distributions using R programming language. These distributions are widely used in day-to-day life of statisticians for hypothesis testing and drawing conclusions on a population from a small sample. Additionally, in the field of data science, statistical inferences use probability distribution of data to analyze or predict trend from data. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

    90 min
    View details: Using probability distributions for real world problems in R
  • Technology
    Beginner

    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. After completing this course, you will be able to: 1. Use sorting appropriately in solving problems; 2. Develop classes that implement the Comparable interface; 3. Use timing data to analyze empirical performance; 4. Break problems into multiple classes, each with their own methods; 5. Determine if a class from the Java API can be used in solving a particular problem; 6. Implement programming solutions using multiple approaches and recognize tradeoffs; 7. Use object-oriented concepts including interfaces and abstract classes when developing programs; 8. Appropriately hide implementation decisions so they are not visible in public methods; and 9. Recognize the limitations of algorithms and Java programs in solving problems. 10. Recognize standard Java classes and idioms including exception-handling, static methods, java.net, and java.io packages.

    1440 min
    View details: Java Programming: Principles of Software Design
  • Technology
    All levels

    Python بُنى بيانات

    ستقدم هذه الدورة التدريبية بُنى البيانات الأساسية للغة برمجة Python. وسوف نتجاوز أساسيات البرمجة الإجرائية ونستكشف الكيفية التي يمكننا من خلالها استخدام بُنى بيانات Python المضمَّنة، مثل القوائم والقواميس والمجموعات لإجراء تحليل معقد بشكل متزايد للبيانات. ستغطي هذه الدورة التدريبية الفصول من 6 إلى 10 من كتاب «Python للجميع» النصي. وستغطي هذه الدورة التدريبية Python 3.

    View details: Python بُنى بيانات
  • General
    All levels

    Experiments and Variations in Bipedalism

    This course will help you learn how fossils give us an insight into how the early members of our lineage walked bipedally. The four million years old bone of Australopithecus anamensis is the oldest undisputed evidence for bipedalism in our lineage. Similarly, Lucy’s, who was Australopithecus afarensis, fossil also helped scientists discover a lot about how bipedalism evolved over time. You will also explore bipedal variations in humans. From its earliest version to its modern form—how humans learned to walk, is an interesting story. Similarly how a human being learns to walk, from a toddler’s first footstep to an adult human being’s walk and its variations would also be discussed in this course. You will also understand that while bipedalism has its advantages, it has its adverse effects on humans too from a musculoskeletal point of view. Every module of this course has been created with the intention of a “hands-on” learner experience, where you can play around with and learn from 3D renditions of different human and animal fossils. Through these exercises, you will read the shapes found in bones in order to analyze and reconstruct how a species moved.

    View details: Experiments and Variations in Bipedalism
  • Business
    Beginner

    Inspirar el liderazgo a través de la inteligencia emocional

    La inteligencia emocional, la esperanza, la atención plena y la compasión ayudan a una persona a revertir el daño del estrés crónico y a construir excelentes relaciones de liderazgo. Los atractores emocionales positivos y negativos inspiran cambios y aprendizajes sostenidos y deseados en muchos niveles.

    View details: Inspirar el liderazgo a través de la inteligencia emocional
  • General
    All levels

    中国哲学经典著作导读

    这是一个全球化、信息化、快餐化的时代；全球化拷问着人们的文化根基，信息化拷问着人们的价值信仰，快餐化拷问着人们的经典阅读。 民族的就是世界的。为继承弘扬中华文化传统，我们特意打造这门课，希冀提供一个阅读哲学经典、传承中国文化、铸造民族精神的平台，让中国文化走向世界、走向未来。 本课分十个专题，分别介绍《周易》、孔子《论语》、老子《道德经》，《大学》与《中庸》，《庄子》，《孙子兵法》，《墨经》，《心经》，以及朱熹理学、王阳明《传习录》等著作和人物的思想。既有对儒释道经典的介绍，也有对理学、心学思想的阐释，以期以一种更广阔的视角看待中国传统哲学，让学生能够对中国传统哲学有一种全方位的认识。 课程大纲 第一章 《周易》导读 第二章 《道德经》导读 第三章 《论语》导读 第四章 《大学》《中庸》导读 第五章 《孙子兵法》导读 第六章 《墨经》导读 第七章 《心经》导读 第八章 《庄子》导读 第九章 朱熹理学相关著作导读 第十章 《传习录》导读

    900 min
    View details: 中国哲学经典著作导读
  • Business
    Beginner

    Forecast & Evaluate Market Trends

    This course develops essential market forecasting and trend analysis skills for research professionals. Learners will master techniques for analyzing historical data to predict future demand and evaluating the strategic relevance of emerging trends. Through practical application with time-series data, learners will build the predictive capabilities needed to support forward-looking business decisions.

    120 min
    View details: Forecast & Evaluate Market Trends
  • Business
    All levels

    Developing An Entrepreneurial Mindset: First Step Towards Success

    This course is the first in a series on starting a business. Though new venture creation is the focus of the specialization, this course is important for everyone.To create a successful business it is not only about what you do (technical execution), it is also about how you think. This course provides learners with insights to re-frame their thinking in order to maximize their chances for success. So what can a learner expect to gain from this course? At the end of this course a learner: 1.) will be able to argue effectively against all of the reasons for not starting their business (or reaching some goal); 2.) will be able to operate effectively within the new framework or model for starting a business (or any new endeavor), thus increasing their chances for success; and 3.) will be able to make the initial business startup decisions of what type of business to start, and what type of business owner to be. Having an entrepreneurial mindset is critical to being successful as an entrepreneur. An entrepreneurial mindset stands alone in terms of its importance. No other attribute, personality, inherent entrepreneurial proclivities, training, or demographic profile is common to all successful entrepreneurs whether Warren Buffet, Steve Jobs, or the neighborhood florist or grocer. The course provides learners with an understanding of the attributes and perspectives of an entrepreneurial mindset, and the process to acquire one. We suggest that learners bring an open mind and be willing to thoroughly explore the nascent business ventures they have been carrying with them.The course introduces concepts that enables a person to start a trans-formative process in the way they think generally, and in the way they think about business specifically. This new way of thinking has the potential to positively impact not only them, but their family, and community.

    View details: Developing An Entrepreneurial Mindset: First Step Towards Success
  • Technology
    Beginner

    Advanced Topics and Future Trends in Database Technologies

    This course consists of four modules covering some of the more in-depth and advanced areas of database technologies, followed by a look at the future of database software and where the industry is heading. Advanced Topics and Future Trends in Database Technologies can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.

    View details: Advanced Topics and Future Trends in Database Technologies