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Data Collection Courses

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.


Popular Data Collection Courses and Certifications


  • U

    University of Maryland, College Park

    Survey Data Collection and Analytics

    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

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Maryland, College Park

    Framework for Data Collection and Analysis

    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

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Michigan

    Data Collection: Online, Telephone and Face-to-face

    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

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Michigan

    Data Collection and Processing with Python

    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

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • M

    Meta

    Introduction to Data Management

    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

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Build Trustworthy AI: Measure Human Connection

    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

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered

What brings you to Coursera today?

  • U

    University of Colorado Boulder

    Data Collection and Integration

    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

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    Edureka

    No-Code Data Science and Machine Learning

    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

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Market Research Portfolio Capstone

    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

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • M

    Microsoft

    Microsoft Power BI Data Analyst

    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

    Status: Free Trial
    Free Trial
    Category: AI skills
    AI skills
    Category: Build toward a degree
    Build toward a degree
  • P

    Packt

    The Complete Guide to Data Preparation for Analysis

    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

    Category: New
    New
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Marketing Data Analysis and Visualization Fundamentals

    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

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1234…33

In summary, here are 10 of our most popular data collection courses

  • Survey Data Collection and Analytics: University of Maryland, College Park
  • Framework for Data Collection and Analysis: University of Maryland, College Park
  • Data Collection: Online, Telephone and Face-to-face: University of Michigan
  • Data Collection and Processing with Python: University of Michigan
  • Introduction to Data Management: Meta
  • Build Trustworthy AI: Measure Human Connection: Coursera
  • Data Collection and Integration: University of Colorado Boulder
  • No-Code Data Science and Machine Learning: Edureka
  • Market Research Portfolio Capstone: Coursera
  • Microsoft Power BI Data Analyst: Microsoft

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

Frequently Asked Questions about Data Collection

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.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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