Harvard University · edX
Fundamentals of TinyML
4.567 ratingsFocusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.
Johns Hopkins University via Coursera
Measurement – Turning Concepts into Data
4.782 ratings at CourseraOverview
This course provides a framework for how analysts can create and evaluate quantitative measures. Consider the many tricky concepts that are often of interest to analysts, such as health, educational attainment and trust in government. This course will explore various approaches for quantifying these concepts. The course begins with an overview of the different levels of measurement and ways to transform variables. We’ll then discuss how to construct and build a measurement model. We’ll next examine surveys, as they are one of the most frequently used measurement tools. As part of this discussion, we’ll cover survey sampling, design and evaluation. Lastly, we’ll consider different ways to judge the quality of a measure, such as by its level of reliability or validity. By the end of this course, you should be able to develop and critically assess measures for concepts worth study. After all, a good analysis is built on good measures.
Syllabus 4
- Fundamentals of Measurement 2.5 hours
Scientists and social science researchers are tasked with measuring concepts of all types. Some are quantitative, like blood pressure, while others are qualitative, like support for a policy proposal. Moreover, some measures are at the individual level while others are aggregated. This module will…
- Building a Measurement Model 4 hours
Researchers are often tasked with analyzing concepts that are difficult to measure. As an example, think about the issue of immigration. A full consideration of policies related to immigration requires analysts to measure concepts such as border security, competition for jobs and employer needs. Wh…
- Survey Research 2.5 hours
V. O. Key, a renowned public opinion scholar, wrote that “to speak with precision of public opinion is not unlike coming to grips with the Holy Ghost.” But although survey research is challenging, it is an essential tool in both government and business. Survey research allows researchers to measure…
- Evaluating Measurement Models 2.5 hours
After you have designed a measurement tool, whether it is a survey, test, data collection technique or some other approach, it is essential to evaluate that tool. It is inevitable that a measurement tool will suffer from some degree of measurement error. If the error is well-understood and not over…
Skills you'll practise
Advantages and disadvantages
Advantages
- Structured courses with graded quizzes, assignments and deadlines you can reset.
- A shareable certificate from the university or company when you pay.
- Financial aid is often approved for students in India (apply 15 days before you need it).
- Taught by Johns Hopkins University, one of the strongest names in its field.
- Rated 4.7 out of 5 by 82 learners.
- Self-paced: start any time.
- A clear syllabus (4 parts) you can see before you start.
Disadvantages
- Paid after a 7-day free trial (Coursera Plus or per course).
- Some courses can be audited for free, but graded work and certificates need payment.
Some points apply to every course of this kind; see how we rank.
This course is paid. Here is how to take it for free
- Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
- Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.
Taught by
- Jennifer Bachner, PhDDirector, Data Analytics and Policy Program
Johns Hopkins University is in Tier 1: world-leading universities and India's top institutes of our institution ranking (93/100).
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