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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

    • I

      IBM

      Generative AI: Elevate Your Data Science Career

      Skills you'll gain: Generative AI, Exploratory Data Analysis, Data Ethics, Feature Engineering, Predictive Modeling, Prompt Engineering, Large Language Modeling, Data Storytelling, Data Modeling, Data Presentation, Data Synthesis, Data Analysis, Data Cleansing, Data Visualization Software, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      177 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: New AI skills
      New AI skills
      A

      Adobe

      Adobe Graphic Designer

      Skills you'll gain: Photo Editing, Adobe Illustrator, Color Theory, Adobe Photoshop, Adobe Acrobat, Typography, Color Matching, Generative AI, Document Management, Graphic and Visual Design, Visual Design, Design, Graphic Design, Web Content Accessibility Guidelines, Photography, Prompt Engineering, Workflow Management, Collaborative Software, Adobe Creative Cloud, Data Ethics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      755 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Y

      Yonsei University

      Spatial Data Science and Applications

      Skills you'll gain: Spatial Data Analysis, Geographic Information Systems, Geospatial Mapping, Database Management Systems, Big Data, Apache Hadoop, Data Modeling, PostgreSQL, Network Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      520 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Amsterdam

      Basic Statistics

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Probability Distribution, Correlation Analysis, Probability, Statistical Inference, Regression Analysis, Sample Size Determination, Statistics, Scientific Methods

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

      Beginner · Course · 1 - 3 Months

    • R

      Rice University

      Business Applications of Hypothesis Testing and Confidence Interval Estimation

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Copenhagen Business School

      An Introduction to Consumer Neuroscience & Neuromarketing

      Skills you'll gain: Consumer Behaviour, Marketing Psychology, Decision Making, Human Learning, Customer Insights, Market Research, Business Ethics, Marketing, Advertising, Brand Awareness, Psychology, Magnetic Resonance Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.4K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Toronto

      Bioinformatic Methods I

      Skills you'll gain: Bioinformatics, Molecular Biology, Biology, Data Analysis Software, Data Mining, Life Sciences, Analysis, Statistical Analysis, Databases

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 3 Months

    • P

      PwC

      Effective Business Presentations with Powerpoint

      Skills you'll gain: Microsoft PowerPoint, Presentations, Data Storytelling, Verbal Communication Skills, Public Speaking, Data Visualization, Business Communication, Storytelling, Communication, Peer Review, Communication Strategies, Target Audience

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • K

      Kennesaw State University

      Six Sigma Tools for Analyze

      Skills you'll gain: Six Sigma Methodology, Root Cause Analysis, Process Analysis, Probability Distribution, Process Capability, Statistical Process Controls, Lean Methodologies, Probability & Statistics, Process Improvement, Quality Improvement, Process Mapping, Statistical Analysis, Systems Of Measurement, Risk Analysis

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      Duke University

      Behavioral Finance

      Skills you'll gain: Behavioral Economics, Decision Making, Financial Planning, Finance, Consumer Behaviour, Financial Market, Economics, Psychology, Risk Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • A

      Arizona State University

      Teach English Now! Lesson Design and Assessment

      Skills you'll gain: Oral Expression, Design Elements And Principles, Design Strategies, English Language, Language Learning

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

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Data Science for Professionals

      Skills you'll gain: Predictive Modeling, Statistical Analysis, Data Manipulation, Data Analysis, Data Science, Pandas (Python Package), Data Visualization Software, Statistics, Data Cleansing, Data Processing, Data-Driven Decision-Making, Business Analytics, Exploratory Data Analysis, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    Exploratory Data Analysis learners also search

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

    • Generative AI: Elevate Your Data Science Career: IBM
    • Adobe Graphic Designer: Adobe
    • Spatial Data Science and Applications: Yonsei University
    • Basic Statistics: University of Amsterdam
    • Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
    • An Introduction to Consumer Neuroscience & Neuromarketing : Copenhagen Business School
    • Bioinformatic Methods I: University of Toronto
    • Effective Business Presentations with Powerpoint: PwC
    • Six Sigma Tools for Analyze: Kennesaw State University
    • Behavioral Finance: Duke 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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