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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: New
      New
      C

      Coursera

      Instagram Analytics: Optimize Performance

      Skills you'll gain: Instagram, Content Performance Analysis, Social Media, Social Media Marketing, Marketing Analytics, Content Strategy, Strategic Decision-Making, Key Performance Indicators (KPIs), Brand Awareness, Competitive Analysis, Drive Engagement

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera

      Facebook Optimization: Grow Your Presence

      Skills you'll gain: Content Performance Analysis, Facebook, Marketing Analytics, Social Media Content, Social Media Marketing, Content Strategy, Online Advertising, Performance Metric, Business Metrics, Scalability, Revenue Management, Data-Driven Decision-Making

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Introduction to Programming with C#12 and .NET8

      Skills you'll gain: GitHub, Version Control, Object Oriented Programming (OOP), Debugging, Development Environment, C# (Programming Language), Microsoft Visual Studio, Microsoft Development Tools, Computer Programming, Programming Principles, Integrated Development Environments, .NET Framework, Data Structures

      Beginner · Course · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      CompTIA Security+ (SY0-701)

      Skills you'll gain: Security Controls, Vulnerability Management, Identity and Access Management, IT Security Architecture, Incident Response, Threat Management, Endpoint Security, Cloud Security, Governance Risk Management and Compliance, Security Management, Cybersecurity, Risk Management, Compliance Management, Risk Appetite, Network Security, Threat Detection, Cyber Threat Intelligence, Zero Trust Network Access, Cyber Attacks, Risk Analysis

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Sensors for a Carbon Free World

      Skills you'll gain: Electrical Power, Power Electronics, Electrical Systems, Torque (Physics), Electronic Components, Electric Power Systems, Electrical Equipment, Basic Electrical Systems, Semiconductors, Electrical Engineering, Mechanical Engineering, Control Systems, Electronics, Engineering Calculations, Low Voltage, High Voltage, Energy and Utilities, Machine Controls, Electronics Engineering, Structural Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      67 reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of California San Diego

      Biology Meets Programming: Bioinformatics for Beginners

      Skills you'll gain: Bioinformatics, Programming Principles, Molecular Biology, Python Programming, Computational Thinking, Biology, Algorithms, Data Structures

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of London

      Corporate Strategy

      Skills you'll gain: Corporate Strategy, Business Strategy, Resource Allocation, Strategic Decision-Making, Organizational Strategy, Mergers & Acquisitions, Growth Strategies, New Business Development, Business Valuation, Portfolio Management, Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Developing RAG Apps with LlamaIndex and JS

      Skills you'll gain: Full-Stack Web Development, JavaScript Frameworks, Node.JS, Application Development, Data Maintenance, Restful API, Web Applications, Development Environment, Large Language Modeling, OpenAI, Generative AI, API Design, Application Deployment, Data Storage, Artificial Intelligence

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      IBM RAG and Agentic AI

      Skills you'll gain: Prompt Engineering, Generative AI, Agentic systems, Generative AI Agents, Large Language Modeling, OpenAI, Artificial Intelligence, Image Analysis, Application Development, Database Systems, Data Storage Technologies, Databases, Full-Stack Web Development, Natural Language Processing, Query Languages, SQL, Flask (Web Framework), Database Management, JSON, Reinforcement Learning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      17 reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: New
      New
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      Packt

      The Complete Java Developer Course: From Beginner to Master

      Skills you'll gain: Java, Java Programming, Object Oriented Programming (OOP), Object Oriented Design, Data Structures, Computer Programming, Android Development, Application Development, Programming Principles, Program Development, Integrated Development Environments, File Management, Algorithms, Data Storage, Debugging

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Illinois Urbana-Champaign

      Investing and Building Wealth

      Skills you'll gain: Wealth Management, Portfolio Management, Investments, Securities (Finance), Financial Planning, Investment Management, Finance, Equities, Risk Management, Asset Management, Business Risk Management, Financial Market, Financial Modeling, Return On Investment, Risk Analysis

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Politecnico di Milano

      Derivatives: a guide to calculation

      Skills you'll gain: ChatGPT, Calculus, Derivatives, Mathematical Software, AI Personalization, Applied Mathematics, Mathematics Education, Machine Learning Algorithms, Algebra, Geometry, Mathematical Theory & Analysis, Graphing

      Intermediate · Course · 1 - 3 Months

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

    • Instagram Analytics: Optimize Performance: Coursera
    • Facebook Optimization: Grow Your Presence: Coursera
    • Introduction to Programming with C#12 and .NET8: Packt
    • CompTIA Security+ (SY0-701): Packt
    • Sensors for a Carbon Free World: University of Colorado Boulder
    • Biology Meets Programming: Bioinformatics for Beginners: University of California San Diego
    • Corporate Strategy : University of London
    • Developing RAG Apps with LlamaIndex and JS: Packt
    • IBM RAG and Agentic AI: IBM
    • The Complete Java Developer Course: From Beginner to Master: Packt

    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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