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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: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Financial Reporting

      Skills you'll gain: Balance Sheet, Revenue Recognition, Financial Accounting, Financial Reporting, Depreciation, Financial Statement Analysis, Generally Accepted Accounting Principles (GAAP), Accounts Receivable, Accounting, Inventory Accounting, Income Statement, Financial Statements, Cash Management, Accrual Accounting, Tax Management, Cash Flows, Fixed Asset, Asset Management, International Financial Reporting Standards, Standard Accounting Practices

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      897 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Cape Town

      Julia Scientific Programming

      Skills you'll gain: Box Plots, Jupyter, Statistical Analysis, Data Visualization, Scientific Visualization, Exploratory Data Analysis, Descriptive Statistics, Data Manipulation, Data Science, Other Programming Languages, Data Import/Export, Computer Programming, Mathematical Modeling, Package and Software Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      433 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Michigan State University

      Become a Journalist: Report the News!

      Skills you'll gain: Interviewing Skills, Journalism, Media and Communications, Multimedia, Electronic Media, Report Writing, Investigation, Research, Storytelling, Peer Review, Content Creation, Ethical Standards And Conduct, International Relations, Data Collection, Oral Expression, Rapport Building, Photo/Video Production and Technology, Blogs, Photography, Writing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      AI Applications in Marketing and Finance

      Skills you'll gain: AI Personalization, Big Data, Credit Risk, Risk Management, Personalized Service, Digital Transformation, Business Risk Management, Customer Insights, Machine Learning, Marketing Analytics, Data Mining, Customer Engagement, Risk Analysis, Advanced Analytics, Data-Driven Decision-Making, Anomaly Detection, MarTech, Financial Data, Consumer Behaviour, Customer experience improvement

      4.6
      Rating, 4.6 out of 5 stars
      ·
      411 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Analitik Data Google

      Skills you'll gain: Data Presentation, Data Cleansing, Data Storytelling, Rmarkdown, Data Visualization, Data Ethics, Data Literacy, Ggplot2, Data Validation, Spreadsheet Software, Interactive Data Visualization, Tableau Software, Analytical Skills, Data Visualization Software, Data-Driven Decision-Making, Dashboard, Data Analysis, Stakeholder Management, Data Integrity, Data Collection

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.3K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      GIS Data Formats, Design and Quality

      Skills you'll gain: Spatial Data Analysis, Spatial Analysis, ArcGIS, Geographic Information Systems, Geospatial Mapping, Data Quality, Data Mapping, Data Modeling, Data Storage, Data Sharing, Data Manipulation, Relational Databases, Query Languages

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      UNSW Sydney (The University of New South Wales)

      Introduction to Systems Engineering

      Skills you'll gain: Systems Engineering, Conceptual Design, Systems Design, Requirements Analysis, Systems Development Life Cycle, Requirements Elicitation, Systems Architecture, Systems Integration, Engineering Design Process, System Design and Implementation, Concept Of Operations, Configuration Management, Prototyping, System Requirements, Design Reviews, Verification And Validation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      809 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Introduction to Cyber Attacks

      Skills you'll gain: Security Engineering, Threat Modeling, Distributed Denial-Of-Service (DDoS) Attacks, Cyber Attacks, Cybersecurity, Cyber Risk, Information Systems Security, Network Security, Computer Security, Malware Protection, Encryption, Data Integrity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      California Institute of the Arts

      UX Design Fundamentals

      Skills you'll gain: User Experience Design, User Interface (UI) Design, User Centered Design, Interaction Design, Prototyping, Wireframing, User Research, Human Computer Interaction, User Flows, Mockups, Information Architecture, Ideation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Salesforce

      Salesforce Sales Development Representative

      Skills you'll gain: Overcoming Objections, Prospecting and Qualification, Customer Relationship Management, Lead Generation, Sales Development, Time Management, Business Writing, Salesforce, Writing, Cold Calling, Sales Prospecting, Growth Mindedness, Verbal Communication Skills, Cultural Diversity, Sales Enablement, Empathy, Emotional Intelligence, Professional Development, Interviewing Skills, Communication

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      556 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      California Institute of the Arts

      Ideas from the History of Graphic Design

      Skills you'll gain: Graphic Design, Graphic and Visual Design, Art History, Design, Logo Design, Design Strategies, Visual Design, Typography, Branding, Advertising, Aesthetics, Creativity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Insper

      Administração Financeira

      Skills you'll gain: Financial Statement Analysis, Financial Statements, Financial Analysis, Capital Budgeting, Income Statement, Balance Sheet, Cost Accounting, Finance, Cash Flows, Financial Management, Return On Investment, Investments

      4.8
      Rating, 4.8 out of 5 stars
      ·
      918 reviews

      Beginner · Course · 1 - 3 Months

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

    • Financial Reporting: University of Illinois Urbana-Champaign
    • Julia Scientific Programming: University of Cape Town
    • Become a Journalist: Report the News!: Michigan State University
    • AI Applications in Marketing and Finance: University of Pennsylvania
    • Analitik Data Google: Google
    • GIS Data Formats, Design and Quality: University of California, Davis
    • Introduction to Systems Engineering: UNSW Sydney (The University of New South Wales)
    • Introduction to Cyber Attacks: New York University
    • UX Design Fundamentals: California Institute of the Arts
    • Salesforce Sales Development Representative: Salesforce

    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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