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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

    • U

      Universidade Estadual de Campinas

      Revisão Sistemática e Meta-análise

      Skills you'll gain: Data Synthesis, Data Collection, Scientific Methods, Research, Research Design, Research Reports, Research Methodologies, Quantitative Research, Clinical Research, Peer Review, Data Quality, Report Writing, Epidemiology, Statistical Analysis, Qualitative Research, Risk Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Create Customer Support Data with Google Sheets

      Skills you'll gain: Google Sheets, Service Level, Spreadsheet Software, Customer Data Management, Customer Support, Data Entry, Data Validation, Data Analysis Expressions (DAX), Data Integration, Organizational Skills

      4.6
      Rating, 4.6 out of 5 stars
      ·
      399 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Power BI and Power Platform for Productivity

      Skills you'll gain: Extract, Transform, Load, Star Schema, Microsoft Power Platform, Data Analysis Expressions (DAX), Data Storytelling, Microsoft Power Automate/Flow, Dashboard, Microsoft Excel, Power BI, Excel Formulas, Data-Driven Decision-Making, Data Analysis, Microsoft Copilot, Data Presentation, Spreadsheet Software, Data Transformation, Data Literacy, Generative AI, ChatGPT, Productivity Software

      4.4
      Rating, 4.4 out of 5 stars
      ·
      509 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Algorithms for DNA Sequencing

      Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences

      4.7
      Rating, 4.7 out of 5 stars
      ·
      924 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Virginia

      Pricing Strategy Optimization

      Skills you'll gain: Price Negotiation, Market Dynamics, Product Lifecycle Management, Revenue Management, Competitive Analysis, Target Market, Global Marketing, Market Share, Consumer Behaviour, Business Strategy, Product Strategy, Marketing Psychology, Marketing, Cost Accounting, Customer Insights, Customer Analysis, Value Propositions, Strategic Marketing, Economics, Demand Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      903 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      Financial Engineering and Risk Management

      Skills you'll gain: Portfolio Management, Derivatives, Financial Market, Securities (Finance), Investment Management, Financial Systems, Asset Management, Credit Risk, Actuarial Science, Mortgage Loans, Mathematical Modeling, Mathematics and Mathematical Modeling, Applied Mathematics, Financial Trading, Financial Modeling, Risk Modeling, Regression Analysis, Market Liquidity, Capital Markets, Statistical Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      376 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Meta

      Meta iOS UI Development

      Skills you'll gain: iOS Development, Apple iOS, Apple Xcode, User Interface (UI), Mobile Development, Swift Programming, Unit Testing, User Interface (UI) Design, UI Components, Mobile Development Tools, Objective-C (Programming Language), Application Development, Data Structures, Programming Principles, Development Testing, Software Testing, Object Oriented Programming (OOP), Software Design Patterns, Integrated Development Environments, Development Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      SAP

      SAP Professional Fundamentals

      Skills you'll gain: Consulting, Relationship Management, Business Consulting, Product Strategy, SAP Applications, Technical Consulting, Relationship Building, Project Management, Project Management Life Cycle, Consultative Approaches, Project Implementation, Agile Methodology, Waterfall Methodology, Solution Delivery, Enterprise Resource Planning, Systems Thinking, User Acceptance Testing (UAT), Design Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      901 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      M

      Microsoft

      Microsoft Project Management

      Skills you'll gain: Earned Value Management, Stakeholder Engagement, Project Closure, Stakeholder Management, Team Performance Management, Team Building, Agile Methodology, Risk Analysis, Agile Project Management, Stakeholder Communications, Project Management Institute (PMI) Methodology, Systems Thinking, Project Implementation, Project Performance, Project Planning, Virtual Teams, Project Management Life Cycle, Team Management, Project Schedules, Project Risk Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      447 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • D

      Deep Teaching Solutions

      Aprendendo a aprender: ferramentas mentais poderosas para ajudá-lo a dominar assuntos difíceis (em Português) [Learning How to Learn]

      Skills you'll gain: Productivity, Learning Strategies, Collaboration, Time Management, Willingness To Learn, Problem Solving, Persistence, Cognitive flexibility, Stress Management, Self-Awareness

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Influencing People

      Skills you'll gain: Influencing, Persuasive Communication, Leadership, Professional Networking, Executive Presence, Initiative and Leadership, Relationship Building, Public Speaking, Decision Making, Communication, Negotiation, Stakeholder Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • W

      Wesleyan University

      Schizophrenia

      Skills you'll gain: Psychiatry, Clinical Psychology, Mental Health Diseases and Disorders, Pharmacology, Psychotherapy, Psychology, Mental and Behavioral Health, Mental Health, Patient Evaluation, Neurology, Scientific Methods, Magnetic Resonance Imaging, Research Methodologies, Medical Imaging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Course · 1 - 3 Months

    Exploratory Data Analysis learners also search

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

    • Revisão Sistemática e Meta-análise: Universidade Estadual de Campinas
    • Create Customer Support Data with Google Sheets: Coursera Project Network
    • Microsoft Power BI and Power Platform for Productivity: Microsoft
    • Algorithms for DNA Sequencing: Johns Hopkins University
    • Pricing Strategy Optimization: University of Virginia
    • Financial Engineering and Risk Management: Columbia University
    • Meta iOS UI Development: Meta
    • SAP Professional Fundamentals: SAP
    • Microsoft Project Management: Microsoft
    • Aprendendo a aprender: ferramentas mentais poderosas para ajudá-lo a dominar assuntos difíceis (em Português) [Learning How to Learn]: Deep Teaching Solutions

    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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