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 Maryland, College Park
Skills you'll gain: Sampling (Statistics), Sample Size Determination, Surveys, Survey Creation, Data Collection, Statistical Analysis, Data Analysis Software, Statistical Software, Interviewing Skills, Research Design, STATA (Software), R (Software), Data Integration, Data Validation, Data Ethics, Data Analysis, Stata, Data Quality, Statistical Programming, R Programming
★ 4.4 (1.5K) · Beginner · Specialization · 3 - 6 Months

University of Maryland, College Park
Skills you'll gain: Surveys, Data Collection, Survey Creation, Research Design, Data Quality, Data Analysis, Analysis, Data Validation, Big Data
★ 4.2 (774) · Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Surveys, Survey Creation, Interviewing Skills, Data Collection, Research Methodologies, Data Quality, Social Media Analytics
★ 4.6 (353) · Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: JSON, Data Processing, Data Wrangling, Restful API, Data Manipulation, Data Access, Application Programming Interface (API), Python Programming, Data Transformation, Data Structures, Data Collection
★ 4.7 (4K) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Management, Data Presentation, Data Storytelling, Data Collection, Data Governance, Data Analysis, Information Privacy, Data Quality, Data Storage, Data Storage Technologies, Data Security, Exploratory Data Analysis, Data-Driven Decision-Making, Data Architecture, Data Visualization Software, Big Data, Applied Machine Learning, Machine Learning Methods, Machine Learning
★ 4.8 (123) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: UI/UX Research, User Research, Responsible AI, User Experience, Persona (User Experience), AI literacy, Human Computer Interaction, Data Ethics, Surveys, Artificial Intelligence, Trustworthiness, Decision Intelligence, Psychosocial Assessments, Generative AI, Psychological Evaluations, Data Collection, Decision Making
Beginner · Course · 1 - 4 Weeks

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

Skills you'll gain: Model Evaluation, Data Analysis, Data Manipulation, Data Wrangling, Classification Algorithms, Data Collection, Image Analysis, Model Deployment, No-Code Development, Machine Learning Software, Data Analysis Software, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Methods, Data Science, Exploratory Data Analysis, Machine Learning Algorithms, Artificial Intelligence, Data Processing, Natural Language Processing
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Data Ethics, Market Research, Data Collection, Advanced Analytics, Market Analysis, Research Reports, Business Research, R Programming, Statistical Analysis, Data Presentation, Presentations, Customer Analysis, Data Analysis, Quantitative Research, Technical Communication, Report Writing, Dashboard Creation, Project Design, Proposal Development, Strategic Thinking
Beginner · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Dashboard Creation, Power BI, Microsoft Excel, Data Analysis, Data Integrity, Data Visualization, Data Storage, Microsoft Power Platform, Data Collection, Data Quality, Business Intelligence, Business Analytics, Advanced Analytics, Generative AI, Data Analysis Software, Statistical Reporting, Analytical Skills, Data Integration, Model Optimization, SQL
★ 4.6 (9.2K) · Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Data Cleansing, Data Wrangling, Surveys, Survey Creation, Data Transformation, Data Collection, Data Quality, Data Preprocessing, Data Integrity, ChatGPT, Cloud Technologies, Statistical Analysis, Real Time Data
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Business Intelligence, Business Intelligence Software, Marketing Analytics, Pivot Tables And Charts, Dashboard Creation, Dashboard, Data Visualization, Data-Driven Marketing, Power BI, Data Presentation, Google Analytics, Data Visualization Software, Microsoft Excel, Marketing, Data Collection, Data Analysis, Market Analysis, Market Intelligence, Market Research, Data Management
Beginner · Course · 1 - 3 Months
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.‎