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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: Free Trial
      Free Trial
      G
      N
      G
      N

      Multiple educators

      Machine Learning for Trading

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Neural Networks, Market Trend, Securities Trading, Artificial Intelligence and Machine Learning (AI/ML), Financial Market

      3.9
      Rating, 3.9 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of London

      Machine Learning for All

      Skills you'll gain: Feature Engineering, Machine Learning, Data Processing, Artificial Intelligence, Supervised Learning, Data Analysis, Computer Vision, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Everyday Excel, Part 1

      Skills you'll gain: Data Import/Export, Microsoft Excel, Data Visualization, Data Management, Excel Macros, Excel Formulas, Data Validation, Microsoft Word, Microsoft PowerPoint

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 3 Months

    • N

      NVIDIA

      AI Infrastructure and Operations Fundamentals

      Skills you'll gain: Generative AI, Large Language Modeling, MLOps (Machine Learning Operations), Artificial Intelligence, Cloud Computing, Cloud Infrastructure, IT Infrastructure, Deep Learning, Network Infrastructure, Tensorflow, Hardware Architecture, Machine Learning, PyTorch (Machine Learning Library), Data Centers, Computer Architecture, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      360 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Embedding Sensors and Motors

      Skills you'll gain: Control Systems, Process Control, Machine Controls, Engineering, Scientific, and Technical Instruments, Embedded Systems, Embedded Software, Electronic Systems, Automation Engineering, Statistical Process Controls, Hardware Design, Electronics Engineering, Manufacturing Processes, Basic Electrical Systems, Electrical Engineering, Electronics, Electrical and Computer Engineering, Electronic Components, Power Electronics, Three-Phase, Electrical Systems

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      INSEAD

      Blockchain Revolution

      Skills you'll gain: Blockchain, Digital Assets, Peer Review, FinTech, Intellectual Property, Business Transformation, Business Leadership, Governance, Market Opportunities, Business Planning, Technology Strategies, Corporate Sustainability, Business Analysis, Business, Competitive Analysis, Strategic Thinking, Business Modeling, Emerging Technologies, Cryptography, Identity and Access Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Generative AI for Educators & Teachers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Ideation, Verification And Validation, Data Validation, Creative Problem-Solving, AI Personalization, Data Synthesis, Image Analysis, Data Capture, Innovation, Brainstorming, OpenAI, Game Design, Data Analysis, Organizational Skills, Artificial Intelligence, Risk Management Framework, Education Software and Technology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Decisions, Decisions: Dashboards and Reports

      Skills you'll gain: Dashboard, Business Intelligence, Business Reporting, Data Storytelling, Data Presentation, Data Visualization Software, Scalability, Performance Tuning, Interviewing Skills, Stakeholder Communications, Project Scoping, Performance Analysis, Performance Improvement, Presentations, Information Privacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IESE Business School

      Claves de la Dirección de Empresas

      Skills you'll gain: Strategic Marketing, People Management, Financial Accounting, Financial Statement Analysis, Financial Statements, Income Statement, Financial Data, Balance Sheet, Product Marketing, Marketing, Marketing Strategy and Techniques, Working Capital, Financial Analysis, Team Management, Organizational Leadership, General Accounting, Team Building, Financial Management, Business, Strategic Decision-Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Business Writing

      Skills you'll gain: Business Writing, Business Correspondence, Business Communication, Writing, Organizational Skills, Concision, Writing and Editing, Proofreading, Grammar, Communication, Editing, Organizational Strategy, Persuasive Communication, Verbal Communication Skills, Communication Strategies

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Advanced Machine Learning on Google Cloud

      Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Distributed Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Programming Fundamentals

      Skills you'll gain: Programming Principles, Algorithms, Pseudocode, Computational Thinking, Computer Programming, Data Structures, Software Testing, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.9K reviews

      Beginner · Course · 1 - 4 Weeks

    Data Collection learners also search

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    1…444546…612

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

    • Machine Learning for Trading: Google Cloud
    • Machine Learning for All: University of London
    • Everyday Excel, Part 1: University of Colorado Boulder
    • AI Infrastructure and Operations Fundamentals: NVIDIA
    • Embedding Sensors and Motors: University of Colorado Boulder
    • Blockchain Revolution: INSEAD
    • Generative AI for Educators & Teachers: Vanderbilt University
    • Decisions, Decisions: Dashboards and Reports: Google
    • Claves de la Dirección de Empresas: IESE Business School
    • Business Writing: University of Colorado Boulder

    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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