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    • Exploratory Data Analysis

    Exploratory Data Analysis Courses Online

    Learn exploratory data analysis (EDA) for uncovering patterns and insights. Understand data visualization, summary statistics, and hypothesis testing.

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    Explore the Exploratory Data Analysis Course Catalog

    • Status: New
      New
      P

      Packt

      Advanced Docker - Data Persistence and Orchestration

      Skills you'll gain: Docker (Software), Application Deployment, Containerization, Nginx, Microservices, Data Storage, YAML, Command-Line Interface, General Networking

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Master of Science in Data Science

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

      Earn a degree

      Degree · 1 - 4 Years

    • I

      Imperial College London

      Master of Science in Machine Learning and Data Science

      Skills you'll gain: Supervised Learning, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Student Support and Services, PySpark, Bayesian Statistics, Data Pipelines, Ggplot2, Dimensionality Reduction, Linear Algebra, Student Services, Data Processing, Big Data, Agentic systems, Anomaly Detection, A/B Testing, Unstructured Data, Deep Learning, Applied Machine Learning

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      P

      Packt

      Advanced Development, Deployment, and Cloud Integration

      Skills you'll gain: ASP.NET, Application Deployment, Microsoft Azure, Cloud Applications, Software Architecture, Scalability, Authentications, User Interface (UI), .NET Framework, Software Design, Maintainability, UI/UX Strategy, Model View Controller, Secure Coding, Application Servers, Microsoft SQL Servers, Database Development, Debugging, Data Validation

      Advanced · Course · 1 - 3 Months

    • U

      University of Huddersfield

      BSc Data Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Illinois at Urbana-Champaign

      Managerial Economics & Business Analysis Graduate Certificate

      Skills you'll gain: Data Visualization, Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Extract, Transform, Load, Financial Auditing, Descriptive Statistics, Process Improvement, Marketing Analytics, Generative AI, Financial Market, Strategic Decision-Making, Corporate Tax

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • I

      IIT Guwahati

      Bachelor of Science in Data Science & AI

      Skills you'll gain: Package and Software Management, Linear Algebra, Data Structures, Data Warehousing, Database Management, Database Theory, Writing, Algorithms, Java Programming, Object Oriented Programming (OOP), Spreadsheet Software, Econometrics, R Programming, Text Mining, Probability Distribution, Artificial Intelligence, Time Series Analysis and Forecasting, Data Processing, C (Programming Language), Visualization (Computer Graphics)

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      P

      Packt

      Monitoring, Security, and High Availability in Vault

      Skills you'll gain: System Monitoring, Kubernetes, Continuous Monitoring, Application Security, Hardening, Key Management, Disaster Recovery, Encryption, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Network Security, Troubleshooting, & Certification Prep

      Skills you'll gain: Network Troubleshooting, Network Security, Distributed Denial-Of-Service (DDoS) Attacks, Hardening, Network Administration, Network Monitoring, Intrusion Detection and Prevention, Threat Modeling, Network Protocols, Cybersecurity, Information Systems Security, Firewall, Network Infrastructure, General Networking, Authentications, Identity and Access Management, Local Area Networks, Networking Hardware, Encryption, Virtual Local Area Network (VLAN)

      Intermediate · Course · 1 - 3 Months

    • B

      Ball State University

      Master of Science in Data Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • I

      Indian Statistical Institute

      Postgraduate Diploma in Applied Statistics

      Skills you'll gain: Sampling (Statistics), Time Series Analysis and Forecasting, Sample Size Determination, Statistical Inference, Statistical Machine Learning, Statistical Analysis, NumPy, Spatial Data Analysis, Statistical Hypothesis Testing, Probability, Data Compilation, Economics, Statistical Methods, Dimensionality Reduction, Lifelong Learning, Regression Analysis, Surveys, Bayesian Statistics, Graphing, Market Data

      Postgraduate Diploma · 6 - 12 Months

    • U

      University of London

      Graduate Certificate in Computer Science

      Skills you'll gain: Virtual Reality, Human Computer Interaction, Game Design, Full-Stack Web Development, React Native, Agile Software Development, Animations, Data Ethics, Git (Version Control System), Event-Driven Programming, Network Security, Web Applications, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Usability Testing

      Credit offered

      Graduate Certificate · 6 - 12 Months

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

    • Advanced Docker - Data Persistence and Orchestration: Packt
    • Master of Science in Data Science: University of Colorado Boulder
    • Master of Science in Machine Learning and Data Science: Imperial College London
    • Advanced Development, Deployment, and Cloud Integration: Packt
    • BSc Data Science: University of Huddersfield
    • Managerial Economics & Business Analysis Graduate Certificate: University of Illinois at Urbana-Champaign
    • Bachelor of Science in Data Science & AI: IIT Guwahati
    • Monitoring, Security, and High Availability in Vault: Packt
    • Network Security, Troubleshooting, & Certification Prep: Packt
    • Master of Science in Data Science: Ball State University

    Skills you can learn in Probability And Statistics

    R Programming (19)
    Inference (16)
    Linear Regression (12)
    Statistical Analysis (12)
    Statistical Inference (11)
    Regression Analysis (10)
    Biostatistics (9)
    Bayesian (7)
    Logistic Regression (7)
    Probability Distribution (7)
    Bayesian Statistics (6)
    Medical Statistics (6)

    Frequently Asked Questions about Exploratory Data Analysis

    Exploratory data analysis (EDA) is an approach to data analysis used to investigate sets of data, summarize their characteristics, and figure out how to best work with data to get answers while providing a visual to help businesses, scientists, researchers, and analysts learn more from that data. Exploratory data analysis makes it easier to find patterns and anomalies in data, and it can be used to determine what the data reveals beyond modeling. It's useful as a step in creating sophisticated data models and analysis. EDA tools include clustering/dimension reduction techniques to create graphs, K-means clustering, and predictive modeling, including linear regression. There are four main types of exploratory data analysis, including univariate non-graphical, univariate graphical, multivariate nongraphical, and multivariate graphical. All of these types describe the data, but graphical exploratory data analysis provides a more complete picture created by the data.‎

    If you're passionate about working with numbers and transforming them to tell a story that influences others, learning about exploratory data analysis can help you forge a career based on that passion. It's a solid start to jobs in data science, but you'll also gain a variety of related skills, including coding using Python and R, data cleansing, and predictive modeling. Beyond starting a new career or advancing your existing one, there are benefits for anyone who chooses to learn about exploratory data analysis, including solid problem-solving skills, the ability to find connections between data and real-world problems, and gaining useful tools to guide major decisions ranging from getting the most out of marketing campaigns to maximizing project executions to hiring key players for organizations.‎

    If you're looking for a career in transforming large volumes of data into actionable advice and solutions, a career in exploratory data analytics could be your ideal path, particularly if you're passionate about using data to evaluate whether the statistical methods you intend to use for analyzing that data are the most effective options. This fast-growing field is in-demand, with skilled, knowledgeable exploratory data analysts among the most highly sought professionals across multiple industries. Exploratory data analysis is somewhat like solving puzzles, piecing data-driven insights together to help employers and clients make well-informed business decisions based on sound data that's been evaluated for assumptions, errors, and trends. You might work on Wall Street for a hedge fund or investment bank. You could work in healthcare, insurance, retail, or marketing, among other industries.‎

    Online courses on Coursera give you the opportunity to do everything from gaining experience in fundamentals to earning professional certification. If you're new to the field, beginner courses like Exploratory Data Analysis with MATLAB can help you build a foundation in data analysis and data visualization. If you're looking to advance your skills, you might explore your options to gain professional certification through IBM's IBM Data Analyst offering. Or you could opt for a specialization, like the Data Science option from Johns Hopkins, which combines courses and applied learning to help you build firsthand knowledge and skills that you'll be able to apply in business settings.‎

    Online Exploratory Data Analysis courses offer a convenient and flexible way to enhance your knowledge or learn new Exploratory Data Analysis skills. Choose from a wide range of Exploratory Data Analysis courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Exploratory Data Analysis, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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