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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

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Medical Coders: Simplifying Documentation

      Skills you'll gain: Generative AI, Regulatory Compliance, Medical Records, Medical Billing and Coding, Health Information Management and Medical Records, Technical Documentation, Automation, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Amsterdam

      Basic Statistics

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Probability Distribution, Correlation Analysis, Probability, Statistical Inference, Regression Analysis, Sample Size Determination, Statistics, Scientific Methods

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

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      S

      Scrimba

      Vibe Coding with GitHub Copilot

      Skills you'll gain: GitHub, Code Review, AI Personalization, Git (Version Control System), Prompt Engineering, Integrated Development Environments, Computer Programming Tools, Generative AI, Application Development

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Python Data Analysis

      Skills you'll gain: Data Processing, Data Manipulation, Data Structures, Scripting, Data Import/Export, Data Analysis, Python Programming, Data Storage

      4.7
      Rating, 4.7 out of 5 stars
      ·
      889 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Data Privacy, Security, Governance, Risk and Compliance

      Skills you'll gain: Data Security, Data Governance, Data Architecture, Data Quality, Personally Identifiable Information, Incident Response, Data Loss Prevention, Security Controls, Information Privacy, Computer Security Incident Management, Threat Management, Threat Detection, Risk Management, Compliance Management, Encryption, Data Integrity, Security Management, Risk Analysis, Risk Mitigation, Role-Based Access Control (RBAC)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      26 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Automatic Data Processing, Inc. (ADP)

      ADP Entry-Level Payroll Specialist

      Skills you'll gain: Payroll, Payroll Processing, Payroll Systems, Payroll Administration, Payroll Tax, Payroll Reporting, Compensation Strategy, Tax Management, Data Entry, Employee Onboarding, Labor Compliance, Labor Law, Human Resource Strategy, Compensation Management, Compensation and Benefits, Non-Profit Accounting, Tax Compliance, Human Resources, Benefits Administration, Specialized Accounting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      458 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Excel Skills for Business: Intermediate II

      Skills you'll gain: Excel Formulas, Microsoft Excel, Excel Macros, Data Validation, Spreadsheet Software, Data Analysis Expressions (DAX), Data Modeling, Financial Forecasting, Predictive Modeling, Financial Modeling, Workflow Management, Data Integrity, Business Modeling, Automation, Process Optimization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Work Smarter with Microsoft Word

      Skills you'll gain: Microsoft Word, Microsoft 365, Productivity Software, Proofreading, Document Management, Technical Documentation, Microsoft Windows, Presentations, Writing, Editing, Data Entry, Data Visualization, Grammar

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Satisfaction Guaranteed: Develop Customer Loyalty Online

      Skills you'll gain: Customer Retention, Customer Relationship Management, Customer Service, E-Commerce, Data-Driven Decision-Making, Marketing Analytics, AI Personalization, Digital Marketing, Customer Insights, Interviewing Skills, Presentations, Portfolio Management, Recruitment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Divide and Conquer, Sorting and Searching, and Randomized Algorithms

      Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Programming Principles, Probability & Statistics, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Marketing Digital e E-Commerce

      Skills you'll gain: Email Marketing, Data Storytelling, Social Media Marketing, Search Engine Optimization, Marketing Budgets, Social Media, Order Fulfillment, Media Planning, Search Engine Marketing, Paid media, Google Ads, Marketing Analytics, Social Media Strategy, Customer Retention, A/B Testing, Google Analytics, Customer Relationship Management, Online Advertising, Customer experience strategy (CX), Campaign Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • J

      Johns Hopkins University

      Design and Interpretation of Clinical Trials

      Skills you'll gain: Clinical Trials, Scientific Methods, Medical Science and Research, Biostatistics, Data Collection, Ethical Standards And Conduct, Regulatory Compliance, Sample Size Determination, Statistical Methods, Statistical Analysis, Statistical Hypothesis Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.3K reviews

      Mixed · Course · 1 - 3 Months

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

    • GenAI for Medical Coders: Simplifying Documentation: Coursera Instructor Network
    • Basic Statistics: University of Amsterdam
    • Vibe Coding with GitHub Copilot: Scrimba
    • Python Data Analysis: Rice University
    • Data Privacy, Security, Governance, Risk and Compliance: SkillUp EdTech
    • ADP Entry-Level Payroll Specialist: Automatic Data Processing, Inc. (ADP)
    • Excel Skills for Business: Intermediate II: Macquarie University
    • Work Smarter with Microsoft Word: Microsoft
    • Satisfaction Guaranteed: Develop Customer Loyalty Online: Google
    • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University

    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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