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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
      B

      Board Infinity

      Mastering DeepSeek: From Architecture to Application

      Skills you'll gain: Deep Learning, Generative AI Agents, Generative AI, Business Process Automation, Large Language Modeling, Application Deployment, Prompt Engineering, Software Development Tools, Software Architecture, Automation, Development Environment, Application Programming Interface (API), Artificial Intelligence, Integration Testing, Systems Architecture, Applied Machine Learning, Unstructured Data, Open Source Technology, Reinforcement Learning, Scalability

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Inside Sales: Crafting Effective Outreach

      Skills you'll gain: Inside Sales, Generative AI Agents, AI Personalization, Sales Development, Sales Process, Sales Enablement, Sales Strategy, Prompt Engineering, ChatGPT, Marketing Automation, HubSpot CRM, Personalized Service, Content Performance Analysis, Workflow Management, Customer Engagement, Customer Relationship Management (CRM) Software, Business Process Automation, Campaign Management

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Natural Language Processing - Transformers with Hugging Face

      Skills you'll gain: Natural Language Processing, Large Language Modeling, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Unstructured Data, Applied Machine Learning, Unsupervised Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Field Sales Agents: Local Market Insights

      Skills you'll gain: Sales Territory Management, Generative AI Agents, Sales Strategy, Customer Engagement, Sales Process, Lead Generation, Sales, Customer experience improvement, Real Time Data, Customer Insights, Market Analysis, Ethical Standards And Conduct, Performance Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Use AI as a Creative or Expert Partner

      Skills you'll gain: Prompt Engineering, Generative AI Agents, ChatGPT, AI Personalization, Generative AI, Artificial Intelligence, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      118 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Natural Language Processing - Probability Models in Python

      Skills you'll gain: Natural Language Processing, Text Mining, Scikit Learn (Machine Learning Library), Dimensionality Reduction, Statistical Machine Learning, Unsupervised Learning, Python Programming, Bayesian Statistics, NumPy, Supervised Learning, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Master ChatGPT & OpenAI APIs – Build AI Tools in Python

      Skills you'll gain: Prompt Engineering, ChatGPT, OpenAI, Generative AI, Large Language Modeling, Python Programming, Artificial Intelligence, Technical Communication, Natural Language Processing, Application Programming Interface (API), Application Development, User Interface (UI)

      Intermediate · Course · 3 - 6 Months

    • 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: 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: New
      New
      Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      AI Agents in Java with Generative AI

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Productivity, Java, Agentic systems, OpenAI, Generative AI, Artificial Intelligence, Large Language Modeling, Software Design, Creative Thinking, Ingenuity, Brainstorming, Software Architecture, Software Development Tools, Secure Coding, Application Development, Business Logic, Systems Integration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6K reviews

      Beginner · Specialization · 3 - 6 Months

    • 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

    Data Collection learners also search

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

    • Mastering DeepSeek: From Architecture to Application: Board Infinity
    • GenAI for Inside Sales: Crafting Effective Outreach: Coursera Instructor Network
    • Natural Language Processing - Transformers with Hugging Face: Packt
    • GenAI for Field Sales Agents: Local Market Insights: Coursera Instructor Network
    • Use AI as a Creative or Expert Partner: Google
    • Natural Language Processing - Probability Models in Python: Packt
    • Master ChatGPT & OpenAI APIs – Build AI Tools in Python: Packt
    • GenAI for Medical Coders: Simplifying Documentation: Coursera Instructor Network
    • Vibe Coding with GitHub Copilot: Scrimba
    • Python Data Analysis: Rice 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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