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    • Data Collection

    Data Collection Courses Online

    Explore data collection methods for research and analysis. Learn to design surveys, conduct interviews, and gather accurate data.

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    Explore the Data Collection Course Catalog

    • U

      University of Maryland, College Park

      Survey Data Collection and Analytics

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Surveys, Survey Creation, Research Methodologies, Data Collection, Statistical Analysis, Statistical Software, Interviewing Skills, Data Integration, Data Ethics, Research Design, Stata, R Programming, Data Quality, Statistical Modeling, Qualitative Research, Descriptive Statistics, Statistical Programming, Data Cleansing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • 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, Data Capture, Qualitative Research, Data Validation, Data Quality

      4.6
      Rating, 4.6 out of 5 stars
      ·
      346 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Data Analysis with Python

      Skills you'll gain: Data Wrangling, Data Cleansing, Data Analysis, Data Manipulation, Data Import/Export, Exploratory Data Analysis, Data Science, Statistical Analysis, Descriptive Statistics, Regression Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Methods, Data Pipelines, NumPy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19K reviews

      Intermediate · Course · 1 - 3 Months

    • 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), 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 Maryland, College Park

      Framework for Data Collection and Analysis

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

      4.2
      Rating, 4.2 out of 5 stars
      ·
      764 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 Processing, Data Collection, 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
      ·
      12 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Introduction to Data Analysis using Microsoft Excel

      Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Manipulation, Data Mining

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

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      V

      Vanderbilt University

      Data Management for Clinical Research

      Skills you'll gain: Clinical Data Management, Data Capture, Clinical Research, Data Management, Data Collection, Data Sharing, Data Strategy, Data Quality, Data Integrity, Data Validation, Regulatory Compliance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      S

      Stanford University

      Introduction to Statistics

      Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Data Collection, Probability Distribution

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.1K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Structures, Data Processing, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      41K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New AI skills
      New AI skills
      G

      Google

      Google Data Analytics

      Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Rmarkdown, Interactive Data Visualization, Interviewing Skills, Data Cleansing, Data Validation, Professional Networking, Ggplot2, Tableau Software, Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, Stakeholder Communications, Dashboard, Sampling (Statistics)

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      168K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Databases and SQL for Data Science with Python

      Skills you'll gain: SQL, Relational Databases, Stored Procedure, Databases, Query Languages, Jupyter, Data Manipulation, Data Analysis, Pandas (Python Package), Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      22K reviews

      Beginner · Course · 1 - 3 Months

    Data Collection learners also search

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

    • Survey Data Collection and Analytics: University of Maryland, College Park
    • Data Collection: Online, Telephone and Face-to-face: University of Michigan
    • Data Analysis with Python: IBM
    • Data Collection and Processing with Python: University of Michigan
    • Framework for Data Collection and Analysis: University of Maryland, College Park
    • Data Collection and Integration: University of Colorado Boulder
    • Introduction to Data Analysis using Microsoft Excel: Coursera Project Network
    • Data Management for Clinical Research: Vanderbilt University
    • Introduction to Statistics: Stanford University
    • Python for Data Science, AI & Development: 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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