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    Results for "data analysis"

    • N

      NVIDIA

      Introduction to Networking

      Skills you'll gain: OSI Models, TCP/IP, Data Centers, Network Protocols, Network Infrastructure, Local Area Networks, General Networking, Network Architecture, Computer Networking, Network Switches, System Requirements

      4.6
      Rating, 4.6 out of 5 stars
      ·
      543 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Glasgow

      Biomedical Visualisation

      Skills you'll gain: Visualization (Computer Graphics), Medical Terminology, Augmented and Virtual Reality (AR/VR), Anatomy, Computer Graphics, Virtual Reality, Animations, Image Analysis, Biology, Medical Imaging, Augmented Reality

      4.6
      Rating, 4.6 out of 5 stars
      ·
      504 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Semiconductor Devices

      Skills you'll gain: Semiconductors, Electrical Engineering, Electronic Systems, Electronic Components, Power Electronics, Physics, Electronics, Electronics Engineering, Differential Equations, Applied Mathematics

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      601 reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Linear Regression for Business Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Inference, Business Analytics, Microsoft Excel, Estimation, Data Analysis, Data Transformation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Incident Response and Digital Forensics

      Skills you'll gain: Incident Response, Computer Security Incident Management, Intrusion Detection and Prevention, Threat Detection, Cyber Threat Hunting, Incident Management, Cybersecurity, Security Information and Event Management (SIEM), Security Controls, Document Management, Data Integrity, Technical Communication, Technical Documentation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Relational Databases (RDBMS)

      Skills you'll gain: Database Design, MySQL, IBM DB2, Relational Databases, Databases, Database Management Systems, PostgreSQL, Data Management, Database Architecture and Administration, SQL, Data Integrity, Data Modeling, Data Manipulation, Command-Line Interface

      4.6
      Rating, 4.6 out of 5 stars
      ·
      704 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Linear Algebra from Elementary to Advanced

      Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Advanced Mathematics, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Graph Theory, Applied Machine Learning, Markov Model, Probability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      176 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Clemson University

      Design and Analysis of Algorithms

      Skills you'll gain: Data Structures, Algorithms, Computational Thinking, Theoretical Computer Science, Computer Programming, Computer Science, Probability, Design Strategies, Analysis, Performance Testing, Scalability

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: Techniques and Models

      Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Data Analysis, Probability, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      491 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Rust Programming

      Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), DevOps, Jenkins, Unit Testing, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Command-Line Interface, Amazon Web Services, Software Testing, Maintainability, Prometheus (Software), System Monitoring, MLOps (Machine Learning Operations)

      4
      Rating, 4 out of 5 stars
      ·
      208 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Agile Planning for Software Products

      Skills you'll gain: Project Planning, Sprint Planning, Risk Management Framework, User Story, Backlogs, Agile Methodology, User Requirements Documents, Functional Requirement, Agile Project Management, Requirements Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Western Australia

      Agriculture, Economics and Nature

      Skills you'll gain: Land Management, Economics, Water Resources, Business Economics, Natural Resource Management, Environmental Resource Management, Environmental Policy, Supply And Demand, Cost Benefit Analysis, Policy Analysis, Market Dynamics, Production Process

      4.7
      Rating, 4.7 out of 5 stars
      ·
      527 reviews

      Beginner · Course · 1 - 3 Months

    Searches related to data analysis

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    1…113114115…824

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

    • Introduction to Networking: NVIDIA
    • Biomedical Visualisation: University of Glasgow
    • Semiconductor Devices: University of Colorado Boulder
    • Linear Regression for Business Statistics: Rice University
    • Incident Response and Digital Forensics: IBM
    • Introduction to Relational Databases (RDBMS): IBM
    • Linear Algebra from Elementary to Advanced: Johns Hopkins University
    • Design and Analysis of Algorithms: Clemson University
    • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
    • Rust Programming: Duke University

    Frequently Asked Questions about Data Analysis

    Coursera’s Data Analysis courses equip learners with essential analytical skills to interpret and make sense of data:

    • Fundamental and advanced techniques for data collection, cleaning, and preprocessing.
    • Statistical analysis and quantitative reasoning to derive insights from data.
    • Use of major data analysis tools and software, including Python, R, SQL, and Excel.
    • Data visualization skills to represent data effectively and communicate findings.
    • Predictive analytics to forecast trends and behaviors using historical data.
    • Application of data analysis skills in various industries like healthcare, marketing, finance, and technology.‎

    Data Analysis courses on Coursera are accessible to learners with varying levels of experience:

    • Beginners can start with courses that introduce basic data analysis concepts and tools.
    • Intermediate learners can enhance their skills with more detailed studies in specific areas such as statistical modeling or machine learning.
    • Advanced users can deepen their expertise with complex data analytics projects and applications.‎

    Upon completing Data Analysis courses, learners can earn credentials that may support their career development:

    • Professional certificates that may indicate proficiency in data analysis tools and techniques.
    • Specializations that cover in-depth topics in data analysis, enhancing both knowledge and practical skills.
    • Certificates that can be recognized by employers in fields that rely heavily on data-driven decision-making.‎

    Proficiency in data analysis can open doors to diverse career paths across multiple sectors:

    • Data Analyst, interpreting data sets to help guide business decisions.
    • Business Intelligence Analyst, using data to inform strategy and business practices.
    • Market Research Analyst, analyzing data to understand market trends and consumer preferences.
    • Operations Analyst, using data to optimize business operations and increase efficiency.
    • Financial Analyst, employing analytical techniques to assess financial data and predict future trends.‎

    Looking to enhance your team's data analysis skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our data analysis training options and make a purchase, please visit our Coursera for Teams page.‎

    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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