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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
      G

      Google Cloud

      Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文

      Skills you'll gain: Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Predictive Modeling, Machine Learning Methods, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Data Quality, Automation

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of North Texas

      Bachelor of Science in General Business

      Skills you'll gain: Operations Management, Mediation, Compensation and Benefits, Integrated Marketing Communications, Organizational Change, Event Management, Grammar, Sales Process, Data Mining, Data Visualization, Design Thinking, Global Marketing, Probability & Statistics, Cultural Diversity, Digital Media Strategy, Organizational Leadership, Political Sciences, Social Justice, Music History, Sociology

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of London

      Graduate Diploma in Computer Science

      Skills you'll gain: Virtual Reality, Human Computer Interaction, Game Design, Full-Stack Web Development, React Native, Agile Software Development, Animations, Data Ethics, Git (Version Control System), Event-Driven Programming, Network Security, Web Applications, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Usability Testing

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • U

      University of Illinois at Urbana-Champaign

      Business Analytics Graduate Certificate

      Skills you'll gain: Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Financial Auditing, Descriptive Statistics, Variance Analysis, Process Improvement, Marketing Analytics, Generative AI, Financial Market, Strategic Decision-Making, Corporate Tax, Global Marketing

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • Status: New
      New
      G

      Google Cloud

      Menggunakan BigQuery Machine Learning untuk Inferensi

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois at Urbana-Champaign

      CPA Pathways Graduate Certificate

      Skills you'll gain: Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Financial Auditing, Descriptive Statistics, Variance Analysis, Process Improvement, Marketing Analytics, Generative AI, Financial Market, Strategic Decision-Making, Corporate Tax, Global Marketing

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • U

      University of Colorado Boulder

      Master of Engineering in Engineering Management

      Skills you'll gain: User Story, Systems Engineering, Real-Time Operating Systems, New Product Development, Field-Programmable Gate Array (FPGA), Failure Analysis, Delegation Skills, Object Oriented Design, Sampling (Statistics), Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Statistical Modeling, Unsupervised Learning, Proposal Writing, Generative AI, Process Capability, Diversity Equity and Inclusion Initiatives

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Industrial Internet of Things Graduate Certificate

      Skills you'll gain: Real-Time Operating Systems, User Research, User Experience Design, User Experience, User Interface and User Experience (UI/UX) Design, Usability, Power Electronics, Verification And Validation, Embedded Software, UI/UX Research, Machine Learning Algorithms, Human Computer Interaction, Persona (User Experience), Failure Analysis, Engineering Documentation, Internet Of Things, Control Systems, User Interface (UI), Embedded Systems, Machine Controls

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • Status: New
      New
      C

      Coursera

      User DNA: Crafting Personas & Journey Maps in Miro

      Skills you'll gain: User Experience Design, Persona (User Experience), User Experience, Design Research, User Research, User Centered Design, Usability, User Flows, Persona Development, Research, Qualitative Research, Design Software, Graphical Tools, Prioritization

      Intermediate · Course · 1 - 4 Weeks

    • B

      BITS Pilani

      Bachelor of Science in Computer Science

      Skills you'll gain: Relational Databases, User Research, Probability & Statistics, Data Storytelling, Bash (Scripting Language), Graph Theory, Object Oriented Design, Android Development, Operating Systems, Database Design, Bioinformatics, Feature Engineering, User Interface (UI) Design, Threat Modeling, Algorithms, Version Control, Java Programming, Data Structures, Model View Controller, Computational Logic

      Earn a degree

      Degree · 1 - 4 Years

    • C

      Clemson University

      Master of Science in Computer Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      G

      Google Cloud

      데이터 분석가를 위한 BigQuery

      Skills you'll gain:

      Intermediate · Course · 1 - 3 Months

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

    • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文: Google Cloud
    • Bachelor of Science in General Business: University of North Texas
    • Graduate Diploma in Computer Science: University of London
    • Business Analytics Graduate Certificate: University of Illinois at Urbana-Champaign
    • Menggunakan BigQuery Machine Learning untuk Inferensi: Google Cloud
    • CPA Pathways Graduate Certificate: University of Illinois at Urbana-Champaign
    • Master of Engineering in Engineering Management: University of Colorado Boulder
    • Industrial Internet of Things Graduate Certificate: University of Colorado Boulder
    • User DNA: Crafting Personas & Journey Maps in Miro: Coursera
    • Bachelor of Science in Computer Science: BITS Pilani

    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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