Data Collection and Analysis Resources for College & Adult

Explore 14 curated data collection and analysis learning resources designed for College & Adult students. Browse curricula, apps, videos, worksheets, and more to find the perfect fit for your learner.

Managing Data Analysis

This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling...

Getting and Cleaning Data

Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cov...

Survey Data Collection and Analytics Capstone

The Capstone Project offers qualified learners to the opportunity to apply their knowledge by analyzing and comparing multiple data sources on the same topic. Students will develop a research question, access and analyze relevant data, and critically...

Modeling Risk and Realities

Useful quantitative models help you to make informed decisions both in situations in which the factors affecting your decision are clear, as well as in situations in which some important factors are not clear at all. In this course, you can learn how...

Framework for Data Collection and Analysis

Framework for Data Collection and Analysis is course 1 of 7 in the Survey Data Collection and Analytics Specialization. This specialization covers the fundamentals of surveys as used in market research, evaluation research, social science and politi...

Regression Modeling in Practice

Regression Modeling in Practice is course 3 of 5 in the Data Analysis and Interpretation Specialization. Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex d...

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Practical Predictive Analytics: Models and Methods

Statistical experiment design and analytics are at the heart of data science. In this course you will design statistical experiments and analyze the results using modern methods. You will also explore the common pitfalls in interpreting statistical a...

Business Metrics for Data-Driven Companies

Business Metrics for Data-Driven Companies is course 1 of 5 in the Excel to MySQL: Analytic Techniques for Business Specialization. Formulate data questions, explore and visualize large datasets, and inform strategic decisions. In this Specializatio...

Capstone: Create Value from Open Data

The Capstone project is an individual assignment. Participants decide the theme they want to explore and define the issue they want to solve. Their “playing field” should provide data from various sectors (such as farming and nutrition, culture, econ...

Dealing With Missing Data

This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external to the survey for calibration. Among the techniques discussed are adjustments using estimated response propensi...

Collect and analyze data, and communicate results.

This specialization covers the fundamentals of surveys as used in market research, evaluation research, social science and political research, official government statistics, and many other topic domains. In six courses, you will learn the basics of...

Data Analysis with Python

Data Analysis has been around for a long time. But up until a few years ago, developers practiced it using expensive, closed-source tools like Tableau. But recently, Python, SQL, and other open libraries have changed Data Analysis forever. In the Da...

Introduction to Systematic Review and Meta-Analysis

We will introduce methods to perform systematic reviews and meta-analysis of clinical trials. We will cover how to formulate an answerable research question, define inclusion and exclusion criteria, search for the evidence, extract data, assess the r...

Exploratory Data Analysis

This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are a...