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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, Survey Creation, Data Collection, Statistical Analysis, Data Analysis Software, Interviewing Skills, Surveys, Research Design, STATA (Software), Data Integration, Data Validation, Data Ethics, Data Analysis, Stata, Data Quality, Statistical Modeling, Qualitative Research, Data Cleansing, R Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • M

    Meta

    Introduction to Data Management

    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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    121 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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, Big Data, Cloud-Based Integration, ChatGPT, Statistical Analysis, Real Time Data

    Intermediate · Course · 3 - 6 Months

  • U

    University of Maryland, College Park

    Framework for Data Collection and Analysis

    Skills you'll gain: Data Collection, Survey Creation, Research Design, Data Quality, Data Analysis, Data Validation, Sampling (Statistics), Data Management, Big Data, Statistical Methods

    4.2
    Rating, 4.2 out of 5 stars
    ·
    774 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Data Collection and Processing with Python

    Skills you'll gain: JSON, Data Processing, Web Scraping, Restful API, Data Manipulation, Application Programming Interface (API), Data Persistence, Python Programming, Data Transformation, Data Structures, Data Collection

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4K reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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 Collection, Data Wrangling, Data Manipulation, SQL, Databases, Query Languages, Extensible Markup Language (XML), Pandas (Python Package), Application Programming Interface (API)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 3 Months

What brings you to Coursera today?

  • U

    University of Michigan

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

    Skills you'll gain: Surveys, Interviewing Skills, Data Collection, Sampling (Statistics), Unstructured Data, Research Methodologies, Qualitative Research, Data Validation, Data Quality, Text Mining

    4.6
    Rating, 4.6 out of 5 stars
    ·
    353 reviews

    Beginner · Course · 1 - 4 Weeks

  • O

    O.P. Jindal Global University

    Introduction to Data Science (Public Policy)

    Skills you'll gain: Web Scraping, Research Design, Matplotlib, Research, Data Ethics, Data Processing, Data Collection, Seaborn, Text Mining, Data Science, Data Visualization Software, Pandas (Python Package), JSON, Application Programming Interface (API), Data Analysis, Python Programming, Natural Language Processing

    Build toward a degree

    Beginner · Course · 1 - 3 Months

  • M

    Microsoft

    Microsoft Power BI Data Analyst

    Skills you'll gain: Power BI, Microsoft Excel, Data Analysis, Microsoft Power Platform, Data Integrity, Data Visualization, Data Storage, Data Collection, Data Quality, Data Manipulation, Business Analytics, Timelines, Advanced Analytics, Database Design, Statistical Reporting, Report Writing, Data Processing, Data Warehousing, Business Intelligence, SQL

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.2K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • I

    IBM

    Introduction to Data Analytics

    Skills you'll gain: Data Storytelling, Data Wrangling, Data Presentation, Big Data, Data Analysis, Data Cleansing, Apache Hadoop, Statistical Analysis, Data Visualization, Apache Hive, Data Mart, Data Warehousing, Apache Spark, Data Science, Analytics, Data Lakes, Data Collection, Microsoft Excel

    4.8
    Rating, 4.8 out of 5 stars
    ·
    21K reviews

    Beginner · Course · 1 - 3 Months

  • E

    Edureka

    No-Code Data Science and Machine Learning

    Skills you'll gain: Model Evaluation, Data Analysis, Classification Algorithms, Data Collection, Data Cleansing, Image Analysis, Model Deployment, Regression Analysis, 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

  • C

    Coursera

    Automate Surveys for Smart Market Insights

    Skills you'll gain: Market Research, Product Strategy, Strategic Marketing, Workflow Management, Survey Creation, No-Code Development, Consumer Behaviour, Market Analysis, Customer Insights, Quantitative Research, Data Integration, Business Process Automation, Automation, Data Collection, Real Time Data, Product Design, Cloud-Based Integration, Data Management

    Beginner · Course · 1 - 4 Weeks

1234…32

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

  • Survey Data Collection and Analytics: University of Maryland, College Park
  • Introduction to Data Management: Meta
  • The Complete Guide to Data Preparation for Analysis: Packt
  • Framework for Data Collection and Analysis: University of Maryland, College Park
  • Data Collection and Processing with Python: University of Michigan
  • Data Collection and Integration: University of Colorado Boulder
  • Data Collection: Online, Telephone and Face-to-face: University of Michigan
  • Introduction to Data Science (Public Policy): O.P. Jindal Global University
  • Microsoft Power BI Data Analyst: Microsoft
  • Introduction to Data Analytics: IBM

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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