Data collection courses can help you learn survey design, sampling techniques, data cleaning, and statistical analysis. You can build skills in qualitative and quantitative research methods, data visualization, and ethical considerations in data handling. Many courses introduce tools like Excel for data manipulation, R for statistical analysis, and software like Qualtrics for survey creation, showing how these skills are applied in real-world research settings.

University of Michigan
Skills you'll gain: Sampling (Statistics), Sample Size Determination, Surveys, Survey Creation, Data Collection, Statistical Analysis, Interviewing Skills, Research Design, STATA (Software), R (Software), Data Integration, Data Validation, Data Ethics, Data Analysis, Stata, Data Quality, Statistical Modeling, Qualitative Research, Data Cleansing, R Programming
Beginner · Specialization · 3 - 6 Months

University of Maryland, College Park
Skills you'll gain: Surveys, Data Collection, Research Design, Data Quality, Data Analysis, Data Validation, Sampling (Statistics), Big Data, Statistical Methods
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: JSON, Data Processing, Web Scraping, Restful API, Data Manipulation, Application Programming Interface (API), Python Programming, Data Transformation, Data Structures, Data Collection
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Surveys, Interviewing Skills, Data Collection, Sampling (Statistics), Unstructured Data, Research Methodologies, Qualitative Research, Data Validation, Data Quality, Text Mining
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Matplotlib, Web Scraping, Pivot Tables And Charts, Pandas (Python Package), Data Integration, Statistical Visualization, Data Manipulation, Exploratory Data Analysis, Data Wrangling, Data Visualization, Data Transformation, Data Processing, Data Cleansing, Data Presentation, Plot (Graphics), Data Visualization Software, Statistical Analysis, Seaborn, NumPy, Python Programming
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Manipulation, Microsoft Office, Data Mining
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Storytelling, Qualitative Research, Market Research, Quantitative Research, Data-Driven Decision-Making, Benchmarking, Data Presentation, Descriptive Statistics, Competitive Analysis, Analytical Skills, Research Design, Market Dynamics, Data Analysis, Data Visualization Software, Statistical Reporting, Statistics, Data Collection, Data Analysis Software, Microsoft Excel, R Programming
Intermediate · Specialization · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Web Scraping, Data Integration, Data Cleansing, Data Import/Export, Data Quality, Data Processing, Data Collection, Data Manipulation, SQL, Databases, Query Languages, Extensible Markup Language (XML), Pandas (Python Package), Application Programming Interface (API)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Management, Data Collection, Data Governance, Data Analysis, Information Privacy, Data Quality, Data Storage, Data Security, Data-Driven Decision-Making, Data Architecture, Data Visualization Software, Big Data, Machine Learning
Beginner · Course · 1 - 4 Weeks

O.P. Jindal Global University
Skills you'll gain: Web Scraping, Research Design, Matplotlib, Research, Data Ethics, Data Collection, Seaborn, Data Science, Data Literacy, Data Visualization Software, Histogram, JSON, Data Manipulation, Data Analysis, Python Programming, Natural Language Processing, Data Structures, Programming Principles
Build toward a degree
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Security, Data Governance, Data Architecture, Data Quality, Personally Identifiable Information, Incident Response, Security Controls, Information Privacy, Threat Detection, Law, Regulation, and Compliance, Risk Management, Cybersecurity, Compliance Management, Encryption, Data Integrity
Intermediate · Course · 1 - 4 Weeks

Queen Mary University of London
Skills you'll gain: Qualitative Research, Research Methodologies, Surveys, Science and Research, Data Collection, Focus Group, Research, Market Research, Research Design, Sample Size Determination, Interviewing Skills, Probability & Statistics, Case Studies
Beginner · Course · 1 - 4 Weeks
Data collection is the systematic process of gathering information like observations or measurements while doing research. When you’re performing research, you’re likely looking for answers to a question you have. When it comes to data collection, digging beyond the surface tells an intriguing story. Collecting data about what you’re researching can help you gain more insight into the details and information that’ll help you answer that question. Although it’s particularly useful in science-related applications, the beauty of data collection is that you can use it to discover answers to almost any query you dream up.
Data are important for helping you (and others, and even computers) make all sorts of different decisions. It helps scientists learn whether their studies are working and assists marketers in sending the right messages to the right people. It's what lets us know if something new we tried is really working. As information becomes digitized, it becomes data that we can use in a variety of ways to accomplish whatever we’ve set out to do. But in order to do that, we need to gather the data first. Without data collection to compile that information, we can’t be truly efficient in analyzing those details — what if something is missing? If you’re aiming to understand how research is conducted and decisions are made, it’s essential to learn about data collection’s role.
Almost every career that involves data provides opportunities for collecting those data, even if the primary focus isn’t only collecting data. A multitude of different analyst roles require plenty of time spent gathering data, whether you choose to work in fields like marketing, human resources or business or you’re specifically interested in working as a data scientist — someone who directs their efforts toward compiling data and translating it into information that others can use to make decisions. Even working as an actuary — a professional who assesses risks, often in insurance fields — allows you to focus much of your time on dealing with data. But these careers are just the beginning; dozens more give you the opportunity to collect data, so it’s an important skill to have and concept to understand even if it’s not the primary focus of your work.
If you’re looking to boost your data literacy, taking our online classes provides a worthwhile opportunity to pursue your goals whenever it’s most convenient for you. Online courses give you the time and space you need to complete coursework from home while also providing you access to learning materials created by accomplished instructors and other field experts. You’ll enjoy learning the basic frameworks of data collection and analysis as you’re getting started learning about this topic by discovering the role of research, analysis and collection techniques. As you advance, you might choose to study more complex topics like utilizing the Python programming language to create programs that fetch and analyze data. And with a variety of learning programs, from certificates to specializations to course credits for college degrees, you can formalize your data analysis accomplishments as you continue to build skills.