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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
      U

      University of Colorado Boulder

      Introduction to Bayesian Statistics for Data Science

      Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Analytical Skills, Probability Distribution

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Master of Science in Data Science

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

      Earn a degree

      Degree · 1 - 4 Years

    • D

      Duke University

      Oil & Gas Industry Operations and Markets

      Skills you'll gain: Market Dynamics, Energy and Utilities, Operating Cost, Transportation Operations, Production Process, Supply Chain, Market Data, Market Trend, Cost Estimation, Global Marketing, Market Analysis, International Finance, Natural Resource Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Sequences, Time Series and Prediction

      Skills you'll gain: Tensorflow, Time Series Analysis and Forecasting, Applied Machine Learning, Deep Learning, Predictive Modeling, Artificial Neural Networks, Forecasting, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Mastering Machine Learning Algorithms using Python

      Skills you'll gain: Dimensionality Reduction, Exploratory Data Analysis, Unsupervised Learning, Deep Learning, Random Forest Algorithm, Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Data Science, Statistical Analysis, Data Processing, Predictive Modeling, NumPy, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Machine Learning Algorithms, Machine Learning, Regression Analysis

      Intermediate · Specialization · 3 - 6 Months

    • T

      The Hong Kong University of Science and Technology

      Python and Statistics for Financial Analysis

      Skills you'll gain: Statistical Inference, Statistical Methods, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Financial Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N

      Northwestern University

      Organizational Leadership

      Skills you'll gain: Influencing, Persuasive Communication, Design Thinking, Data-Driven Decision-Making, Leadership, Strategic Communication, Innovation, Collaboration, Crisis Management, Negotiation, Organizational Leadership, Ideation, Team Leadership, Resource Allocation, Human Centered Design, Teamwork, Motivational Skills, Corporate Communications, Marketing Strategies, Marketing Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Six Sigma Yellow Belt

      Skills you'll gain: Six Sigma Methodology, Root Cause Analysis, Lean Methodologies, Data Collection, Process Improvement, Quality Improvement, Process Optimization, Lean Six Sigma, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Probability Distribution, Regression Analysis, Process Capability, Business Process, Statistical Process Controls, Quality Management, Team Management, Continuous Improvement Process

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Azure ML: Designing and Preparing Machine Learning Solutions

      Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Azure Synapse Analytics, Apache Spark, Applied Machine Learning, Data Science, Cloud Computing, Machine Learning, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Data Processing, Scalability, Continuous Monitoring

      Intermediate · Course · 1 - 4 Weeks

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

      Google

      Google Prompting Essentials

      Skills you'll gain: Data Visualization, Prompt Engineering, Data Presentation, Data Storytelling, Sampling (Statistics), Presentations, Graphing, Generative AI Agents, ChatGPT, Data Ethics, AI Personalization, Generative AI, Brainstorming, Timelines, Excel Formulas, Data Analysis, Taking Meeting Minutes, Concision, Oral Expression, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      416 reviews

      Beginner · Specialization · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      IBM Product Owner

      Skills you'll gain: Sprint Retrospectives, Backlogs, Agile Product Development, Agile Software Development, Stakeholder Communications, Agile Methodology, Kanban Principles, Product Roadmaps, Virtual Teams, Stakeholder Management, Information Technology, Agile Project Management, Computer Hardware, Product Strategy, Product Planning, Product Management, User Story, Cloud Computing, Communication, Sprint Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Using Python to Interact with the Operating System

      Skills you'll gain: Bash (Scripting Language), Unit Testing, Scripting, Unix Shell, Shell Script, Linux Commands, Test Driven Development (TDD), Unix Commands, Unix, Scripting Languages, Development Environment, Operating Systems, Command-Line Interface, File Management, OS Process Management, Automation, Debugging, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.5K reviews

      Beginner · Course · 1 - 3 Months

    Data Collection learners also search

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    Data Science
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    1…363738…612

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

    • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
    • Master of Science in Data Science: University of Colorado Boulder
    • Oil & Gas Industry Operations and Markets : Duke University
    • Sequences, Time Series and Prediction: DeepLearning.AI
    • Mastering Machine Learning Algorithms using Python: Packt
    • Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
    • Organizational Leadership: Northwestern University
    • Six Sigma Yellow Belt: Kennesaw State University
    • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
    • Google Prompting Essentials: Google

    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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