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    Results for "exploratory data analysis"

    • Status: Free
      Free

      Google Cloud

      Create Image Captioning Models - Português Brasileiro

      Skills you'll gain: Image Analysis, Deep Learning, Computer Vision, Text Mining, Machine Learning

      Advanced · Course · 1 - 4 Weeks

    • Packt

      Blender to Unreal Engine 5 — 3D Props - Medieval Gallows

      Skills you'll gain: 3D Modeling, Computer Graphics, Visualization (Computer Graphics), Data Import/Export, Performance Tuning

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New

      National Academy of Sports Medicine

      Pre- and Post-Workout Supplements for the Beginner

      Skills you'll gain: Decision Making, Preventative Care, Patient Education and Support, Health Assessment, Personal Development

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New

      Board Infinity

      Generative AI in Marketing

      Skills you'll gain: Generative AI, Marketing Automation, Marketing, Data Ethics, MarTech, ChatGPT, Content Marketing, Marketing Strategies, Campaign Management, Email Marketing, OpenAI, Marketing Analytics, Content Creation, Personalized Service, Customer Analysis, Advertising, Predictive Analytics, Artificial Intelligence and Machine Learning (AI/ML), Analytics, Artificial Intelligence

      Beginner · Course · 1 - 4 Weeks

    • Google Cloud

      Responsible AI: Applying AI Principles with GC - 简体中文

      Skills you'll gain: Governance, Data Ethics, Business Ethics, Compliance Management, Google Cloud Platform, Artificial Intelligence, Accountability, Auditing, Ethical Standards And Conduct, Stakeholder Engagement, Continuous Improvement Process

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free

      Google Cloud

      Encoder-Decoder Architecture - 简体中文

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Deep Learning, Natural Language Processing, Machine Learning, Text Mining

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New

      Packt

      Security Governance, Compliance & Risk Management

      Skills you'll gain: Risk Management, Governance Risk Management and Compliance, Security Management, Compliance Management, Business Risk Management, Security Strategy, Risk Mitigation, Risk Appetite, Enterprise Risk Management (ERM), Cyber Governance, Risk Analysis, Penetration Testing, Compliance Auditing, Security Controls, Cyber Risk, Vendor Management, Cyber Security Policies, Risk Control, Vulnerability Assessments

      Advanced · Course · 1 - 4 Weeks

    • Google Cloud

      Machine Learning in the Enterprise - 日本語版

      Skills you'll gain: Data Governance, MLOps (Machine Learning Operations), Data Management, Forecasting, Google Cloud Platform, Predictive Analytics, Data Pipelines, Applied Machine Learning, Machine Learning, Artificial Neural Networks, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New

      Google Cloud

      Dynamic volume provisioning on GKE with Google Cloud NetApp Volumes

      Skills you'll gain: Cloud Storage, Kubernetes, Cloud Computing, Cloud Infrastructure, Data Storage, Google Cloud Platform, YAML

      Beginner · Project · Less Than 2 Hours

    • Packt

      Advanced Modeling Techniques and Detailed Prop Creation

      Skills you'll gain: 3D Modeling, Computer Graphics, Computer Graphic Techniques, Visualization (Computer Graphics)

      Intermediate · Course · 1 - 3 Months

    • LearnQuest

      Managing and Optimizing SD-Branch Networks

      Skills you'll gain: Network Performance Management, Software-Defined Networking, Network Administration, Network Routing, Wide Area Networks, Network Monitoring, Disaster Recovery, Performance Tuning, General Networking, Virtual Local Area Network (VLAN), Network Troubleshooting, Network Security, Cyber Security Assessment, Vulnerability Scanning, Continuous Monitoring, Patch Management, Application Performance Management, Network Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Packt

      Create a Dark Moody Atmospheric 2D Game with Unity and C#

      Skills you'll gain: User Interface (UI), Debugging, C# (Programming Language), Visualization (Computer Graphics), Development Environment, Scripting, Application Deployment, Computer Graphics, Computer Programming, Software Installation

      Beginner · Course · 1 - 4 Weeks

    Searches related to exploratory data analysis

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    perform exploratory data analysis on retail data with python
    1…790791792…825

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

    • Create Image Captioning Models - Português Brasileiro: Google Cloud
    • Blender to Unreal Engine 5 — 3D Props - Medieval Gallows: Packt
    • Pre- and Post-Workout Supplements for the Beginner: National Academy of Sports Medicine
    • Generative AI in Marketing: Board Infinity
    • Responsible AI: Applying AI Principles with GC - 简体中文: Google Cloud
    • Encoder-Decoder Architecture - 简体中文: Google Cloud
    • Security Governance, Compliance & Risk Management: Packt
    • Machine Learning in the Enterprise - 日本語版: Google Cloud
    • Dynamic volume provisioning on GKE with Google Cloud NetApp Volumes: Google Cloud
    • Advanced Modeling Techniques and Detailed Prop Creation: 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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