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
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
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.
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.
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.
Reconciling Account Data with Cloud Spanner Change Streams
This is a self-paced lab that takes place in the Google Cloud console. Learn how to perform financial account reconciliation tasks using Cloud Spanner, Dataflow, and BigQuery.
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.
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.
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.
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.
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.
