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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

    • G

      Google Cloud

      Modernizing Data Lakes & Data Warehouses with GCP - 한국어

      Skills you'll gain: Google Cloud Platform, Data Lakes, Data Warehousing, Cloud Engineering, Cloud Storage, Data Infrastructure, Cloud Solutions, Data Pipelines, Data Architecture, Big Data, Business Intelligence, SQL, Scalability

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Google Cloud Customer Care Fundamentals - Bahasa Indonesia

      Skills you'll gain: Product Support, Help Desk Support, Cloud Management, Technical Support, Service Level, Technical Communication, Cloud Services, Issue Tracking, Data Loss Prevention

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      W

      Whizlabs

      Azure AI & ML: Optimize Language Models for AI Applications

      Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Prompt Engineering, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Applied Machine Learning, Large Language Modeling, Continuous Monitoring, Generative AI, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Analítica de datos: visualización, predicción y toma de decisiones Certificado MasterTrack®

      Skills you'll gain: Network Analysis, Data Storytelling, Predictive Modeling, Data Presentation, Marketing Analytics, Cash Flows, Product Marketing, Matplotlib, Financial Data, Financial Statement Analysis, Portfolio Management, Data Cleansing, Advertising, Applied Machine Learning, Statistical Machine Learning, Random Forest Algorithm, Operations Research, Natural Language Processing, Mathematical Modeling, Systems Analysis

      Credit offered

      Mastertrack · 6 - 12 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Indexing, Performance Optimization & Functions in SQL Server

      Skills you'll gain:

      Beginner · Course

    • 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

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Toma de Decisiones Basadas en Datos

      Skills you'll gain: Descriptive Analytics, Business Analytics, Database Design, NoSQL, Statistical Reporting, SQL, Data Ethics, Digital Transformation, Query Languages, Data Mining, Databases, Data Analysis, R Programming, Big Data, Data-Driven Decision-Making, Predictive Analytics, Organizational Structure, Business Transformation, Business Strategy, Organizational Strategy

      Credit offered

      Mastertrack · 6 - 12 Months

    • N

      Northeastern University

      Master of Science in Data Analytics Engineering

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • G

      Google Cloud

      Smart Analytics, Machine Learning and AI on GC - 한국어

      Skills you'll gain: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Applied Machine Learning, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Jupyter, Natural Language Processing

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - Українська

      Skills you'll gain: Information Privacy, Cloud Security, Personally Identifiable Information, Google Cloud Platform, Generative AI, Data Security, Security Controls, Open Source Technology, Safety and Security, Artificial Intelligence, Machine Learning Methods

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - 한국어

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

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - 한국어

      Skills you'll gain: Exploratory Data Analysis, Prompt Engineering, Generative AI, Data Visualization Software, Google Cloud Platform, Data Cleansing, Data Transformation, Debugging, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    Data Collection learners also search

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    1…598599600…608

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

    • Modernizing Data Lakes & Data Warehouses with GCP - 한국어: Google Cloud
    • Google Cloud Customer Care Fundamentals - Bahasa Indonesia: Google Cloud
    • Azure AI & ML: Optimize Language Models for AI Applications: Whizlabs
    • Analítica de datos: visualización, predicción y toma de decisiones Certificado MasterTrack®: Universidad de los Andes
    • Indexing, Performance Optimization & Functions in SQL Server: Microsoft
    • GenAI for Medical Coders: Simplifying Documentation: Coursera Instructor Network
    • Certificado en Toma de Decisiones Basadas en Datos: Pontificia Universidad Católica de Chile
    • Master of Science in Data Analytics Engineering: Northeastern University
    • Smart Analytics, Machine Learning and AI on GC - 한국어: Google Cloud
    • Responsible AI for Developers: Privacy & Safety - Українська: 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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