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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

    • A

      Amazon Web Services

      AWS Cloud Technology Consultant

      Skills you'll gain: AWS Identity and Access Management (IAM), Infrastructure as Code (IaC), Amazon CloudWatch, AWS CloudFormation, Software Development Life Cycle, CI/CD, Amazon Web Services, Professional Networking, IT Automation, Cloud Computing, Amazon S3, Extract, Transform, Load, DevOps, Data-Driven Decision-Making, Software Architecture, Cloud Computing Architecture, Amazon DynamoDB, Cloud Infrastructure, Web Applications, Leadership Development

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      IT Fundamentals for Cybersecurity

      Skills you'll gain: IT Service Management, Cloud Computing, Information Technology Infrastructure Library, Malware Protection, Identity and Access Management, Linux, Incident Response, Networking Hardware, TCP/IP, Cybersecurity, Linux Administration, Network Security, Network Protocols, Computer Security Incident Management, Cloud Security, Operating Systems, Endpoint Detection and Response, Cyber Risk, Data Ethics, Cyber Governance

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Assisting Public Sector Decision Makers With Policy Analysis

      Skills you'll gain: Statistical Analysis, Program Evaluation, Policy Analysis, Data Analysis, Statistical Methods, Public Policies, Statistical Hypothesis Testing, Policy Development, Analytical Skills, Forecasting, R Programming, Data-Driven Decision-Making, Research Design, Time Series Analysis and Forecasting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      25 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      Duke University

      Data Visualization and Communication with Tableau

      Skills you'll gain: Data Storytelling, Dashboard, Tableau Software, Data Visualization, Business Analytics, Statistical Visualization, Business Process, Business Process Improvement, Presentations, Data Visualization Software, Data-Driven Decision-Making, Data Analysis, Graphing, Stakeholder Communications, Data Manipulation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Mixed · Course · 1 - 3 Months

    • G

      Google

      Análisis de Datos de Google

      Skills you'll gain: Data Storytelling, Presentations, Rmarkdown, Data Presentation, Data Cleansing, Data Visualization, Data Literacy, Ggplot2, Data Validation, Spreadsheet Software, Data Visualization Software, Data Ethics, Data Analysis, Data-Driven Decision-Making, Tableau Software, Data Processing, Dashboard, Business Analysis, Stakeholder Communications, Databases

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Pennsylvania

      Introduction to Financial Accounting

      Skills you'll gain: Financial Statements, Financial Statement Analysis, Financial Reporting, Financial Accounting, Balance Sheet, Accrual Accounting, Financial Analysis, Cash Flows, Income Statement, Bookkeeping, Revenue Recognition, Depreciation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • M

      Microsoft

      Introduction to Generative AI for Data Analysis

      Skills you'll gain: Prompt Engineering, Generative AI, Data Ethics, Data Cleansing, OpenAI, Data Analysis, ChatGPT, Artificial Intelligence, Data Transformation, Data Quality, Power BI, Exploratory Data Analysis, Anomaly Detection

      4.5
      Rating, 4.5 out of 5 stars
      ·
      43 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google

      Capstone: Applying Project Management in the Real World

      Skills you'll gain: Project Management, Milestones (Project Management), Data Storytelling, Requirements Analysis, Project Scoping, Project Schedules, Stakeholder Management, Project Planning, Project Documentation, Stakeholder Communications, Quality Management, Interviewing Skills, Communication

      4.9
      Rating, 4.9 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: AI skills
      AI skills
      M

      Microsoft

      Microsoft Cybersecurity Analyst

      Skills you'll gain: Threat Modeling, MITRE ATT&CK Framework, Penetration Testing, Azure Active Directory, Network Security, Computer Systems, Security Information and Event Management (SIEM), Security Testing, Encryption, Cybersecurity, System Testing, Cloud Security, Threat Management, Vulnerability Scanning, Cloud Computing, Business Software, Cyber Attacks, Authentications, Active Directory, Data Management

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

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Specialized Models: Time Series and Survival Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Jupyter, Data Cleansing, Applied Machine Learning, Data Transformation, Exploratory Data Analysis, Pandas (Python Package)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      133 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      Search Engine Optimization (SEO)

      Skills you'll gain: Keyword Research, Search Engine Optimization, Web Analytics and SEO, Content Creation, Social Media Strategy, Competitive Analysis, Target Audience, Client Services, Content Marketing, Peer Review, Social Media Marketing, Consumer Behaviour, Google Analytics, Presentations, Marketing, Forecasting, Digital Marketing, Expectation Management, Content Strategy, User Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      Universidad Austral

      Fundamentos de Excel para Negocios

      Skills you'll gain: Microsoft Excel, Spreadsheet Software, Excel Formulas, Data Visualization, Data Import/Export, Data Entry, Productivity Software, Presentations, Financial Analysis

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

      Beginner · 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

    • AWS Cloud Technology Consultant: Amazon Web Services
    • IT Fundamentals for Cybersecurity: IBM
    • Assisting Public Sector Decision Makers With Policy Analysis: University of Michigan
    • Data Visualization and Communication with Tableau: Duke University
    • Análisis de Datos de Google: Google
    • Introduction to Financial Accounting: University of Pennsylvania
    • Introduction to Generative AI for Data Analysis: Microsoft
    • Capstone: Applying Project Management in the Real World: Google
    • Microsoft Cybersecurity Analyst: Microsoft
    • Specialized Models: Time Series and Survival Analysis: IBM

    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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