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Reasoning, Data Analysis, and Writing Specialization

How to Make Effective Arguments

Earn a Certificate

  • Specialization via Coursera and Duke University
  • $196 for 6-9 months
  • 6-10 hours a week of effort
  • 3 courses + capstone project
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Title
Reasoning, Data Analysis, and Writing
Rating
☆☆☆☆☆ (0 Reviews)
Overview
How to make effective arguments
Credential Type
Provider
Institution
Cost
$196
Effort
6-10 hours a week
Duration
6-9 months
This specialization will strengthen your ability to engage with others' ideas and communicate productively with them by analyzing their arguments, identifying the inferences they are drawing, and understanding the reasons that inform their beliefs. The Specialization concludes with a Capstone project that allows you to apply the skills you've learned throughout the courses.
★★★★☆ (32) 12 weeks 24th Aug, 2015
Reasoning is important.  This course will teach you how to do it well.  You will learn some simple but vital rules to follow in thinking about any topic at all and some common and tempting mistakes to avoid in reasoning.  We will discuss how to identify, analyze, and evaluate arguments by other people (including politicians, used car salesmen, and teachers) and how to construct arguments of your own in order to help you decide what to believe or what to do. These skills will be useful in dealing with whatever matters most to you.
★★★★★ (40) 14th Sep, 2015
<div>The Coursera course, Data Analysis and Statistical Inference has been revised and is now offered as part of Coursera Specialization “<a title="Link: https://www.coursera.org/specializations/statistics" target="_blank" href="https://www.coursera.org/specializations/statistics">Statistics with R</a>”.</div><div>&nbsp;</div><div>This Specialization consists of 4 courses and a capstone project. The courses can be taken separately:</div><div><ul><li><a target="_blank" href="https://www.coursera.org/learn/probability-intro">Introduction to Probability and Data</a> (began in April 2016)<br></li><li><a target="_blank" href="https://www.coursera.org/learn/inferential-statistics-intro">Inferential Statistics</a> (begins in May 2016)<br></li><li>Linear Regression and Modeling (begins in June 2016)<br></li><li>Bayesian Statistics (begins in July 2016) A completely new course, with additional faculty!<br></li><li>Statistics Capstone Project (August 2016) (for learners who have passed the 4 previous courses, and earned certificate)</li></ul></div><div>You may enroll in a single course, or all of them, but each requires the knowledge and techniques from the previous courses. The assignments in these courses have suggested but not required deadlines, so you can work at your own schedule. Please check the Specialization page for other answers to your questions, and peek at the first course.</div><div>&nbsp;</div><div>We hope to see you in our new courses.</div><div>&nbsp;</div><div>The Statistics with R team.</div><br>___________________________________________________<br>The goals of this course are as follows:<br><ol><li>Recognize the importance of data collection, identify limitations in data collection methods, and determine how they affect the scope of inference.</li><li>Use statistical software (R) to summarize data numerically and visually, and to perform data analysis.</li><li>Have a conceptual understanding of the unified nature of statistical inference.</li><li>Apply estimation and testing methods (confidence intervals and hypothesis tests) to analyze single variables and the relationship between two variables in order to understand natural phenomena and make data-based decisions.</li><li>Model and investigate relationships between two or more variables within a regression framework.</li><li>Interpret results correctly, effectively, and in context without relying on statistical jargon.</li><li>Critique data-based claims and evaluate data-based decisions.</li><li>Complete a research project that employs simple statistical inference and modeling techniques.</li></ol><br>
★★★☆☆ (18) 12 weeks 9th Sep, 2019
You will gain a foundation for college-level writing valuable for nearly any field. Students will learn how to read carefully, write effective arguments, understand the writing process, engage with others' ideas, cite accurately, and craft powerful prose. <br /> <br /> Course Learning Objectives<br /> • Summarize, analyze, question, and evaluate written and visual texts<br /> • Argue and support a position<br /> • Recognize audience and disciplinary expectations<br /> • Identify and use the stages of the writing process<br /> • Identify characteristics of effective prose<br /> • Apply proper citation practices<br /> • Discuss applying your writing knowledge to other writing occasions
☆☆☆☆☆ (0) 8 weeks 15th Jan, 2016
<p>This course invites students to synthesize their learning from the three courses in the Specialization into one final project on a topic of their own choice.&nbsp;Each student will choose a controversial topic and write an&nbsp;essay (1,500 - 2,000 words) in which they use their analysis of&nbsp;data to argue for their own position about that topic. This written argument will analyze data and draw statistical inferences, as well as engage with other evidence in the form of visual and/or written texts. Students will be asked to develop their project in stages, working from concept to data analysis to argument draft to final project, and will give and receive multiple rounds of peer review to hone their product.&nbsp;<br /><br />The Final Project Course will run three times throughout the year.</p>
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