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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
      L

      Ludwig-Maximilians-Universität München (LMU)

      Competitive Strategy and Organization Design

      Skills you'll gain: Mergers & Acquisitions, Customer Retention, Business Research, Business Strategy, Organizational Structure, Organizational Strategy, Peer Review, Game Theory, Strategic Thinking, Competitive Analysis, Strategic Partnership, Product Strategy, Report Writing, Business Consulting, Growth Strategies, Organizational Effectiveness, Strategic Decision-Making, Management Consulting, Corporate Strategy, Compliance Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Six Sigma Yellow Belt

      Skills you'll gain: Six Sigma Methodology, Root Cause Analysis, Lean Methodologies, Data Collection, Process Improvement, Quality Improvement, Process Optimization, Lean Six Sigma, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Probability Distribution, Regression Analysis, Process Capability, Business Process, Statistical Process Controls, Quality Management, Team Management, Continuous Improvement Process

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Malware Analysis and Introduction to Assembly Language

      Skills you'll gain: Malware Protection, Cyber Threat Hunting, Cyber Security Assessment, Application Security, Threat Detection, Network Analysis, Virtual Machines, Code Review, Debugging, System Programming, Microsoft Windows, Windows PowerShell, Programming Principles, Computer Architecture, Excel Macros, Linux

      4.5
      Rating, 4.5 out of 5 stars
      ·
      81 reviews

      Beginner · Course · 1 - 3 Months

    • 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
      ·
      4.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      Erasmus University Rotterdam

      Digital Governance

      Skills you'll gain: Law, Regulation, and Compliance, Emerging Technologies, Market Dynamics, E-Commerce, Political Sciences, Automation, Digital Transformation, Technology Solutions, Public Administration, Data Governance, Complex Problem Solving, Governance, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      148 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Understanding and Visualizing Data with Python

      Skills you'll gain: Sampling (Statistics), Data Visualization, Statistics, Matplotlib, Statistical Visualization, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Histogram, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Cybersecurity Fundamentals

      Skills you'll gain: Encryption, Identity and Access Management, Public Key Infrastructure, Endpoint Security, Cryptography, Network Security, Cybersecurity, Threat Detection, Cyber Attacks, Security Awareness, Cryptographic Protocols, Data Security, Advanced Encryption Standard (AES), Secure Coding, Hardening, Data Encryption Standard, Firewall, Technical Support and Services, Information Technology, Cyber Security Strategy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.6K reviews

      Beginner · Specialization · 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

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Programming Foundations with JavaScript, HTML and CSS

      Skills you'll gain: Hypertext Markup Language (HTML), HTML and CSS, Cascading Style Sheets (CSS), Web Development, Programming Principles, Javascript, Web Design, Computer Programming, Image Analysis, Computational Thinking, Algorithms, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Social Media Management

      Skills you'll gain: Social Media Management, Content Creation, Instagram, Social Media Marketing, Social Media Strategy, Facebook, Generative AI Agents, Content Performance Analysis, Branding, Content Management, Customer Engagement

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of London

      The Manager's Toolkit: A Practical Guide to Managing People at Work

      Skills you'll gain: People Management, Conflict Management, Human Resources Management and Planning, Employee Performance Management, Organizational Leadership, Leadership, Decision Making, Team Motivation, Compensation Management, Recruitment, Goal Setting, Interviewing Skills

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.3K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Work Smarter with Microsoft Excel

      Skills you'll gain: Microsoft Excel, Excel Formulas, Data Visualization, Spreadsheet Software, Microsoft 365, Productivity Software, Data Import/Export, Data Management, File Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K 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

    • Competitive Strategy and Organization Design: Ludwig-Maximilians-Universität München (LMU)
    • Six Sigma Yellow Belt: Kennesaw State University
    • Malware Analysis and Introduction to Assembly Language: IBM
    • Behavioral Finance: Duke University
    • Digital Governance: Erasmus University Rotterdam
    • Understanding and Visualizing Data with Python: University of Michigan
    • Cybersecurity Fundamentals: IBM
    • Specialized Models: Time Series and Survival Analysis: IBM
    • Programming Foundations with JavaScript, HTML and CSS: Duke University
    • Social Media Management : Meta

    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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