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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
      D

      DeepLearning.AI

      Unsupervised Learning, Recommenders, Reinforcement Learning

      Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Reinforcement Learning, Statistical Machine Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms, Collaborative Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Search Engine Optimization (SEO)

      Skills you'll gain: Keyword Research, Search Engine Optimization, Web Analytics and SEO, Content Creation, Social Media Strategy, Competitive Analysis, Target Audience, Client Services, Content Marketing, Peer Review, Social Media Marketing, Consumer Behaviour, Google Analytics, Presentations, Marketing, Forecasting, Digital Marketing, Expectation Management, Content Strategy, User Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Python, Bash and SQL Essentials for Data Engineering

      Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Scripting, Cloud Engineering, Command-Line Interface, Software Development Tools

      4.5
      Rating, 4.5 out of 5 stars
      ·
      430 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Executive Data Science

      Skills you'll gain: Data Quality, Exploratory Data Analysis, Employee Onboarding, Data Management, Team Motivation, Technical Communication, Data Analysis, Data Presentation, Project Management, Interviewing Skills, Data Science, Data-Driven Decision-Making, Management Training And Development, Organizational Leadership, Data Strategy, Team Management, Analytical Skills, Project Implementation, Team Building, Project Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Overview of Data Visualization

      Skills you'll gain: Data Presentation, Data Literacy, Data Synthesis, Data Visualization Software, Google Sheets, Graphing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      400 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • D

      DeepLearning.AI

      Generative AI with Large Language Models

      Skills you'll gain: Generative AI, Large Language Modeling, OpenAI, ChatGPT, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Tensorflow, Applied Machine Learning, Scalability, Natural Language Processing, Application Deployment, Reinforcement Learning, Performance Tuning, Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      An Introduction to Programming the Internet of Things (IOT)

      Skills you'll gain: Test Planning, Embedded Systems, Linux, Internet Of Things, Embedded Software, Functional Requirement, Debugging, General Networking, Hardware Design, Systems Design, Operating Systems, Requirements Analysis, Electronic Hardware, System Design and Implementation, C (Programming Language), Basic Electrical Systems, Application Programming Interface (API), TCP/IP, Wireless Networks, Integrated Development Environments

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Project Execution: Running the Project

      Skills you'll gain: Quality Management, Project Management Life Cycle, Project Closure, Project Management, Continuous Improvement Process, Project Controls, Quality Assessment, Team Management, Data-Driven Decision-Making, Project Documentation, Stakeholder Communications, Risk Management, Technical Communication, Meeting Facilitation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9.6K reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universitat Autònoma de Barcelona

      Competencias digitales. Herramientas de ofimática (Microsoft Word, Excel, Power Point)

      Skills you'll gain: Spreadsheet Software, Data Entry, Document Management, File Management, Data Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      AI Strategy and Governance

      Skills you'll gain: Data Ethics, Data Governance, Personally Identifiable Information, Data Security, Governance, Business Strategy, Organizational Strategy, Business Transformation, Artificial Intelligence, Ethical Standards And Conduct, Machine Learning, Innovation, Algorithms, Decision Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      298 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Business Data Management and Communication

      Skills you'll gain: Data Storytelling, Revenue Recognition, Financial Statements, Data Presentation, Data Visualization, Accrual Accounting, Cash Flows, Financial Accounting, Data Collection, Bookkeeping, Business Analytics, Income Statement, Data Visualization Software, Business Valuation, Balance Sheet, Data Quality, Analytics, Asset Management, Data Processing, Information Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Attract and Engage Customers with Digital Marketing

      Skills you'll gain: Search Engine Marketing, Search Engine Optimization, Google Ads, Online Advertising, Target Audience, Digital Marketing, Digital Advertising, Persona Development, Web Analytics and SEO, Keyword Research, Pay Per Click Advertising, Marketing, Customer Engagement, Customer Acquisition Management, Advertising, Marketing Strategies, Lead Generation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7K reviews

      Beginner · Course · 1 - 4 Weeks

    Data Collection learners also search

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    1…222324…609

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

    • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
    • Search Engine Optimization (SEO): University of California, Davis
    • Python, Bash and SQL Essentials for Data Engineering: Duke University
    • Executive Data Science: Johns Hopkins University
    • Overview of Data Visualization: Coursera Project Network
    • Generative AI with Large Language Models: DeepLearning.AI
    • An Introduction to Programming the Internet of Things (IOT): University of California, Irvine
    • Project Execution: Running the Project: Google
    • Competencias digitales. Herramientas de ofimática (Microsoft Word, Excel, Power Point): Universitat Autònoma de Barcelona
    • AI Strategy and Governance: University of Pennsylvania

    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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