Survey Data Collection and Analytics

Go to Course: https://www.coursera.org/specializations/data-collection

Introduction

### Course Review: Survey Data Collection and Analytics on Coursera #### Overview In today’s data-driven world, the ability to collect, analyze, and communicate findings from survey data is crucial. The Coursera course "Survey Data Collection and Analytics" offers a comprehensive journey through this essential skill set, split into six engaging modules. This course not only equips you with the theoretical foundations but also arms you with practical techniques for data collection and analytics, making it a valuable resource for researchers, analysts, and anyone looking to enhance their data competencies. #### Course Syllabus Breakdown 1. **[Framework for Data Collection and Analysis](https://www.coursera.org/learn/data-collection-framework)** This module provides a panoramic view of existing data products and an understanding of the data collection landscape. It sets the tone for the course by introducing core concepts that will be built upon in subsequent lessons. 2. **[Data Collection: Online, Telephone and Face-to-face](https://www.coursera.org/learn/data-collection-methods)** This course dives deep into how different modes of data collection can impact results. Understanding the nuances of each method is crucial for minimizing survey errors and ensuring the reliability of data collected. 3. **[Questionnaire Design for Social Surveys](https://www.coursera.org/learn/questionnaire-design)** Designing effective questionnaires is an art and a science. This module covers key elements of questionnaire design, including question formulation and response behavior, which are essential for gathering accurate data. 4. **[Sampling People, Networks and Records](https://www.coursera.org/learn/sampling-methods)** Good data collection rests on robust sampling techniques. This segment sheds light on various sampling methods and their implications, preparing you to choose the right approach for your research needs. 5. **[Dealing With Missing Data](https://www.coursera.org/learn/missing-data)** Missing data can skew results and pose significant challenges. This course addresses strategies for adjusting and compensating for non-response, ensuring the integrity of your findings. 6. **[Combining and Analyzing Complex Data](https://www.coursera.org/learn/data-collection-analytics-project)** Here, you will learn how to apply statistical techniques to analyze survey data effectively. This includes using survey weights to derive meaningful insights, making the course highly relevant for practical applications in the field. #### How This Course Stands Out - **Hands-On Experience**: Each module is designed to combine theoretical knowledge with practical applications, allowing learners to engage directly with data through real-world examples and case studies. - **Expert Instruction**: The course is taught by industry professionals and academic experts, ensuring that you receive high-quality instruction and insights backed by current practices. - **Flexible Learning**: As an online course, it allows you to learn at your own pace, making it accessible for both full-time professionals and students. - **Community and Networking**: Enrolling in this course grants access to a broader community of learners. Engaging with peers can enrich your understanding and provide networking opportunities. #### Recommendation "Survey Data Collection and Analytics" is highly recommended for anyone interested in enhancing their skills in data collection and analysis. Whether you are a novice keen on learning the basics or a professional seeking to refine your expertise, this course provides a solid foundation that is applicable in various fields including marketing, social sciences, education, and public health. ### Conclusion Investing your time in this course will pay off as you gain knowledge and skills that are increasingly in demand in various industries. Don’t miss out on this opportunity to master the art of survey data collection and analytics—your path to becoming a proficient data analyst starts here! For more details, check the course page [here](https://www.coursera.org/learn/survey-data-collection-analytics).

Syllabus

https://www.coursera.org/learn/data-collection-framework

This course will provide you with an overview over existing data products and a good understanding of the data collection landscape. With ...

https://www.coursera.org/learn/data-collection-methods

This course presents research conducted to increase our understanding of how data collection decisions affect survey errors. This is not a ...

https://www.coursera.org/learn/questionnaire-design

This course will cover the basic elements of designing and evaluating questionnaires. We will review the process of responding to questions, ...

https://www.coursera.org/learn/sampling-methods

Good data collection is built on good samples. But the samples can be chosen in many ways. Samples can be haphazard or convenient ...

https://www.coursera.org/learn/missing-data

This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external ...

https://www.coursera.org/learn/data-collection-analytics-project

In this course you will learn how to use survey weights to estimate descriptive statistics, like means and totals, and more complicated ...