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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

    • B

      Ball State University

      Master of Science in Data Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • I

      Illinois Institute of Technology

      Master of Data Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • G

      Google Cloud

      Introduction to Data Engineering on Google Cloud - Français

      Skills you'll gain: Extract, Transform, Load, Data Sharing, Data Pipelines, Metadata Management, Google Cloud Platform, Data Migration, Data Processing, Big Data, Data Integration, Cloud Storage, Data Warehousing, Data Management, Data Lakes, Data Import/Export, Data Storage, Data Transformation, Automation

      Beginner · Course · 1 - 3 Months

    • U

      University of Pittsburgh

      Master of Data Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - 简体中文

      Skills you'll gain: Information Privacy, Cloud Security, Personally Identifiable Information, Google Cloud Platform, Data Security, Computer Security, Security Controls, Data Governance, Safety and Security, Artificial Intelligence, Encryption

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI: Interpretability & Transparency - Deutsch

      Skills you'll gain: Data Ethics, Data Analysis, Data Science, Analysis, Applied Machine Learning, Data Visualization Software, Artificial Intelligence, Machine Learning, Technical Communication

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文

      Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Statistical Methods, Predictive Modeling, Machine Learning, Data Quality, Visualization (Computer Graphics)

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - 繁體中文

      Skills you'll gain: Generative AI, Google Cloud Platform, Big Data, Customer Relationship Management, SQL, Business Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - 日本語版

      Skills you'll gain: Exploratory Data Analysis, Data Processing, Data Manipulation, Data Cleansing, Data Transformation, Google Cloud Platform, Interactive Data Visualization, Generative AI, SQL

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - Italiano

      Skills you'll gain: Data Ethics, Testability, Interoperability, Artificial Intelligence, Data Integrity, Technical Documentation, Data Quality, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - 繁體中文

      Skills you'll gain: Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Google Cloud Platform, Open Source Technology, Machine Learning, Data Validation, Data Quality

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      BigQuery ML を推論に使用する

      Skills you'll gain: Big Data, Data Analysis, Applied Machine Learning, Machine Learning, Predictive Modeling, Machine Learning Algorithms

      Beginner · Course · 1 - 4 Weeks

    Data Collection learners also search

    Data
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    Data Science
    Data Analytics
    Data Analysis
    R Programming
    Applied Data Science
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    In summary, here are 10 of our most popular data collection courses

    • Master of Science in Data Science: Ball State University
    • Master of Data Science: Illinois Institute of Technology
    • Introduction to Data Engineering on Google Cloud - Français: Google Cloud
    • Master of Data Science: University of Pittsburgh
    • Responsible AI for Developers: Privacy & Safety - 简体中文: Google Cloud
    • Responsible AI: Interpretability & Transparency - Deutsch: Google Cloud
    • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文: Google Cloud
    • Work with Gemini Models in BigQuery - 繁體中文: Google Cloud
    • Boost Productivity with Gemini in BigQuery - 日本語版: Google Cloud
    • Responsible AI for Developers: Interpretability & Transparency - Italiano: Google Cloud

    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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