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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
      M

      Macquarie University

      Excel Skills for Business: Intermediate II

      Skills you'll gain: Excel Formulas, Microsoft Excel, Excel Macros, Data Validation, Spreadsheet Software, Data Analysis Expressions (DAX), Data Modeling, Financial Forecasting, Predictive Modeling, Financial Modeling, Workflow Management, Data Integrity, Business Modeling, Automation, Process Optimization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Divide and Conquer, Sorting and Searching, and Randomized Algorithms

      Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Programming Principles, Probability & Statistics, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Case Western Reserve University

      Introduction to International Criminal Law

      Skills you'll gain: Trial Preparation, Court Systems, Criminal Investigation and Forensics, Legal Proceedings, Legal Hearings, Litigation and Civil Justice, International Relations, Legal Strategy, Diplomacy, Public Safety and National Security, Ethical Standards And Conduct, Case Law, Intelligence Collection and Analysis, Interactive Learning, Student Engagement

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.9K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Meta Marketing Science Certification Prep

      Skills you'll gain: Marketing Analytics, Bayesian Statistics, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, A/B Testing, Target Audience, Marketing Strategies, Marketing Planning, Statistical Inference, Sampling (Statistics), Data Collection, Data Modeling, Statistics, Advertising Campaigns, Campaign Management, Marketing, Analytics, Google Analytics, Data Analysis

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

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Cape Town

      Understanding Clinical Research: Behind the Statistics

      Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Clinical Research, Statistical Analysis, Quantitative Research, Descriptive Statistics, Statistical Inference, Data Collection, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Fundamentals of GIS

      Skills you'll gain: ArcGIS, GIS Software, Spatial Data Analysis, Data Sharing, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Metadata Management, Data Quality, Data Mapping, File Management, Data Presentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Security Analyst Fundamentals

      Skills you'll gain: Cyber Threat Hunting, Incident Response, Cyber Threat Intelligence, Penetration Testing, Computer Security Incident Management, Intrusion Detection and Prevention, Threat Modeling, Threat Detection, Threat Management, MITRE ATT&CK Framework, Cryptography, Security Testing, Incident Management, Application Security, Encryption, Cybersecurity, Code Review, Vulnerability Scanning, Vulnerability Assessments, Open Web Application Security Project (OWASP)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Positive Psychology: Martin E. P. Seligman’s Visionary Science

      Skills you'll gain: Optimism, Personal Development, Resilience, Positive Behavior Support, Psychology, Working With Children, Education and Training, Research, Human Development, Creativity

      4.9
      Rating, 4.9 out of 5 stars
      ·
      6.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      TensorFlow: Advanced Techniques

      Skills you'll gain: Generative AI, Tensorflow, Computer Vision, Image Analysis, Deep Learning, Keras (Neural Network Library), Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Distributed Computing, Computer Graphics, Unsupervised Learning, Network Model, Visualization (Computer Graphics), Network Architecture, Performance Tuning, Machine Learning Methods, API Design, Object Oriented Programming (OOP)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      AI Product Management

      Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Data Ethics, Data Management, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Human Centered Design, Machine Learning, Human Factors, Regression Analysis, Technical Management, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Decision Tree Learning, Data Processing, Personally Identifiable Information

      4.7
      Rating, 4.7 out of 5 stars
      ·
      793 reviews

      Beginner · Specialization · 3 - 6 Months

    • E

      Edureka

      Data Storytelling with Power BI

      Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Transformation, Dashboard, Data Visualization Software, Data Storytelling, Interactive Data Visualization, Data Presentation, Data Modeling, Business Intelligence, Microsoft Excel, Data Manipulation, Performance Reporting, Data Cleansing, Report Writing, Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      ·
      135 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Programming with JavaScript

      Skills you'll gain: Jest (JavaScript Testing Framework), Javascript, Unit Testing, Web Applications, Programming Principles, Object Oriented Programming (OOP), Event-Driven Programming, Node.JS, JSON, Computer Programming, Data Structures, Debugging, Package and Software Management, Program Development, Functional Design

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

      Beginner · Course · 1 - 3 Months

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

    • Excel Skills for Business: Intermediate II: Macquarie University
    • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
    • Introduction to International Criminal Law: Case Western Reserve University
    • Meta Marketing Science Certification Prep: Meta
    • Understanding Clinical Research: Behind the Statistics: University of Cape Town
    • Fundamentals of GIS: University of California, Davis
    • Security Analyst Fundamentals: IBM
    • Positive Psychology: Martin E. P. Seligman’s Visionary Science: University of Pennsylvania
    • TensorFlow: Advanced Techniques: DeepLearning.AI
    • AI Product Management: Duke 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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