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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 Michigan

      Data Collection and Processing with Python

      Skills you'll gain: JSON, Data Processing, Web Scraping, Restful API, Data Manipulation, Application Programming Interface (API), Python Programming, Data Transformation, Data Structures, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      Construction Cost Estimating and Cost Control

      Skills you'll gain: Construction Estimating, Cost Estimation, Punch Work, Bidding, Cost Control, Project Closure, Lean Methodologies, Project Estimation, Cash Flow Forecasting, Request For Quotation (RFQ), Earned Value Management, Procurement, Request for Proposal, Change Orders, Building Information Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Finite Element Analysis Convergence and Mesh Independence

      Skills you'll gain: Finite Element Methods, Simulation and Simulation Software, Cloud Engineering, Engineering Analysis, Simulations, Mechanical Design, Engineering Design Process, Verification And Validation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      222 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      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

    • Status: Free Trial
      Free Trial
      G

      Google

      The Nuts and Bolts of Machine Learning

      Skills you'll gain: Feature Engineering, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Unsupervised Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Data Analysis, Performance Tuning, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      522 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Goldman Sachs

      Fundamentals of Financial Planning, with Goldman Sachs 10,000 Women

      Skills you'll gain: Cash Flow Forecasting, Financial Forecasting, Cash Flows, Financial Analysis, Business Planning, Entrepreneurship, Market Opportunities, Financial Planning, Business Strategies, Strategic Decision-Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      452 reviews

      Mixed · Course · 1 - 4 Weeks

    • H

      HEC Paris

      Entrepreneurship Strategy: From Ideation to Exit

      Skills you'll gain: Ideation, Entrepreneurship, Innovation, Creativity, B2B Sales, Sales, Business Planning, Business Strategy, Business Development, Self-Awareness, Global Marketing, Human Resources, Fundraising and Crowdsourcing, Financial Analysis, Cash Management, Recruitment, Team Building

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      What is Compliance?

      Skills you'll gain: Compliance Management, Compliance Training, Regulation and Legal Compliance, Legal Risk, Law, Regulation, and Compliance, Governance Risk Management and Compliance, Compliance Reporting, Regulatory Requirements, Compliance Auditing, Risk Management, Operational Risk, Risk Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Computer Networks and Network Security

      Skills you'll gain: Networking Hardware, TCP/IP, Network Security, Network Protocols, Endpoint Detection and Response, Network Routing, Cybersecurity, Local Area Networks, Dynamic Host Configuration Protocol (DHCP), Firewall, General Networking, Information Systems Security, Intrusion Detection and Prevention, Endpoint Security, Network Infrastructure, Network Planning And Design, Wireless Networks, Security Information and Event Management (SIEM), Network Analysis, Data Loss Prevention

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

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      Lund University

      European Business Law

      Skills you'll gain: Intellectual Property, Legal Writing, Labor Law, Arbitration, Environmental Laws, Case Law, Legal Research, Tax Laws, Regulation and Legal Compliance, Law, Regulation, and Compliance, Commercial Laws, Legal Strategy, Business, International Relations, Compliance Management, Business Strategy, European History, Competitive Analysis, Regulatory Compliance, Business Economics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of California, Davis

      Materials Science: 10 Things Every Engineer Should Know

      Skills you'll gain: Semiconductors, Engineering, Mechanical Engineering, Failure Analysis, Manufacturing Processes, Structural Analysis, Engineering Analysis, Chemistry, Thermal Management, Electronics Engineering, Physical Science, Electronics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.5K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Hands-on Introduction to Linux Commands and Shell Scripting

      Skills you'll gain: Linux Commands, Bash (Scripting Language), Shell Script, File Management, Unix Shell, Linux, Unix Commands, Linux Servers, Command-Line Interface, Scripting Languages, Unix, Operating Systems, Network Protocols, OS Process Management, Automation, Software Installation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K 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

    • Data Collection and Processing with Python: University of Michigan
    • Construction Cost Estimating and Cost Control: Columbia University
    • Finite Element Analysis Convergence and Mesh Independence: Coursera Project Network
    • Effective Business Presentations with Powerpoint: PwC
    • The Nuts and Bolts of Machine Learning: Google
    • Fundamentals of Financial Planning, with Goldman Sachs 10,000 Women: Goldman Sachs
    • Entrepreneurship Strategy: From Ideation to Exit: HEC Paris
    • What is Compliance?: University of Pennsylvania
    • Computer Networks and Network Security: IBM
    • European Business Law: Lund 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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