
University of Michigan
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 Ethics, Data Analysis, Stata, Data Quality, Statistical Modeling, Statistical Programming, R Programming
★ 4.4 (1.5K) · Beginner · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Web Scraping, Data Integration, Data Cleansing, Data Quality, Data Preprocessing, Data Processing, Data Collection, SQL, Databases, Extensible Markup Language (XML), Pandas (Python Package), Application Programming Interface (API)
★ 4.5 (16) · Intermediate · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Surveys, Data Collection, Research Design, Data Quality
★ 4.6 (353) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Root Cause Analysis, Correlation Analysis, Regression Analysis, Statistical Methods, Statistics, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Analysis, Lean Six Sigma, Data Analysis, Process Improvement, Statistical Inference, Operational Efficiency
★ 4.3 (21) · Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: JSON, Data Processing, Restful API, Data Manipulation, Data Access, Application Programming Interface (API), Python Programming, Data Transformation, Data Structures, Data Collection
★ 4.7 (4.1K) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Data Analysis, Data Manipulation, Microsoft Office, Document Management, Data Mining
★ 4.7 (4.8K) · Intermediate · Guided Project · Less Than 2 Hours

University of Maryland, College Park
Skills you'll gain: Surveys, Data Collection, Research Design, Data Quality, Data Analysis, Analysis
★ 4.2 (777) · Intermediate · Course · 1 - 4 Weeks

University of Alaska Fairbanks
Skills you'll gain: Requirements Analysis, Geospatial Information and Technology, Spatial Data Analysis, Image Quality, Data Quality, 3D Modeling
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Data Entry, Data Validation, Data Integrity, Data Capture, Data Processing, Data Management
★ 3.6 (7) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Extract, Transform, Load, Web Scraping, Database Management, Databases, Unit Testing, Data Transformation, Data Access, Package and Software Management, Application Programming Interface (API), Data Integration, Data Wrangling, Integrated Development Environments, Data Pipelines, Maintainability, Python Programming, Programming Principles, Hypertext Markup Language (HTML), Style Guides
★ 4.6 (863) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Rmarkdown, Knitr, Surveys, Survey Creation, Data Quality, Sample Size Determination, Statistical Hypothesis Testing, Data Governance, Market Research, Regression Analysis, Predictive Modeling, Quantitative Research, Data Analysis, Statistical Analysis, Key Performance Indicators (KPIs), R Programming, Excel Formulas, Business Intelligence, Data Visualization, Performance Metric
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Vulnerability Management, Security Information and Event Management (SIEM), Penetration Testing, Vulnerability Assessments, Cybersecurity, Intelligence Collection and Analysis, Vulnerability Scanning, Cyber Attacks, Network Security, Information Systems Security, Computer Security, Analysis, Network Analysis, Auditing, Data Analysis, Linux Commands, Data Collection, Correlation Analysis, Bash (Scripting Language), Windows PowerShell
Mixed · Course · 1 - 4 Weeks
Top-rated Data Collection courses offered by University of Michigan on Coursera.
Top-rated beginner-friendly Data Collection courses with no prerequisites.
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.‎