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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
      G

      Google Cloud

      Criar embeddings, pesquisa vetorial e RAG com o BigQuery

      Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, Google Cloud Platform, Big Data

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Big Data Technologies and Applications

      Skills you'll gain: Big Data, Data Processing, Data Analysis, Analytics, Apache Spark, Data Storage Technologies, Apache Hadoop, Real Time Data, Business Intelligence, Data Management, Distributed Computing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Drug Utilization: Trends, Determinants and Consequences

      Skills you'll gain: Pharmaceuticals, Medication Therapy Management, Pharmacotherapy, Medical Prescription, Pharmacology, Health Policy, Clinical Research, Patient Education And Counseling, Research Design, Epidemiology, Trend Analysis

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      L

      LearnKartS

      Introduction to AI and Machine Learning

      Skills you'll gain: AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Natural Language Processing, Amazon Web Services, Supervised Learning, Machine Learning Algorithms, Feature Engineering, Machine Learning, Artificial Neural Networks, Deep Learning, Data Processing, Data Wrangling

      Beginner · Course · 1 - 4 Weeks

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

      Packt

      Database Management and Core Application Development

      Skills you'll gain: ASP.NET, Database Development, C# (Programming Language), Back-End Web Development, Database Management, Database Design, Object-Relational Mapping, Application Frameworks, Model View Controller, Web Applications, Software Design Patterns, Authentications, Maintainability, Business Logic, Authorization (Computing), Data Modeling, Performance Tuning, Data Migration, Data Mapping, Data Validation

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      AWS Step Functions – Automate Complex Tasks with Workflows

      Skills you'll gain: Debugging, Amazon Web Services, AWS CloudFormation, Business Process Automation, Automation, Amazon S3, AWS Identity and Access Management (IAM), Amazon CloudWatch, Serverless Computing, API Gateway, Amazon DynamoDB, JSON, Data Validation

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      TOTAL - CompTIA CySA+ Cybersecurity Analyst (CS0-003)

      Skills you'll gain: Cyber Threat Intelligence, Incident Response, Vulnerability Assessments, Threat Modeling, Cybersecurity, Network Security, Penetration Testing, Security Controls, Threat Detection, Vulnerability Management, Intrusion Detection and Prevention, Application Security, Malware Protection

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Public Health Principles: Systems and Strategies

      Skills you'll gain: Health Policy, Public Health, Public Health and Disease Prevention, Systems Thinking, Program Evaluation, Health Systems, Health Care Administration, Health Equity, Epidemiology, Policy Analysis, Community Health, Media and Communications, Emergency Response

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G
      N
      G
      N

      Multiple educators

      Machine Learning for Trading

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Neural Networks, Market Trend, Securities Trading, Artificial Intelligence and Machine Learning (AI/ML), Financial Market

      3.9
      Rating, 3.9 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      Emory University

      MBE Mastering Business Essentials

      Skills you'll gain: Financial Statements, Return On Investment, Business Strategy, Operations Management, Cash Flows, Accounting, Finance, Manufacturing Operations, Supply Chain Management, Business Operations, Financial Analysis, Marketing, Corporate Finance, Strategic Marketing, Promotional Strategies, Business Valuation, Organizational Strategy, Business, Market Dynamics, Product Strategy

      Beginner · Specialization · 3 - 6 Months

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

      Packt

      Full-Stack Web Development with SvelteKit & Supabase

      Skills you'll gain: UI Components, Full-Stack Web Development, Application Deployment, Database Management, Databases, JavaScript Frameworks, Web Applications, Authentications, Front-End Web Development, Application Development, Back-End Web Development, User Interface (UI), OpenAI, Artificial Intelligence

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Google Cloud에서 생성형 AI를 사용한 웹사이트 현대화

      Skills you'll gain: Generative AI, Web Content, Google Cloud Platform, Prompt Engineering, User Experience Design, Image Analysis, Content Management

      Beginner · Course · 1 - 4 Weeks

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

    • Criar embeddings, pesquisa vetorial e RAG com o BigQuery: Google Cloud
    • Big Data Technologies and Applications: Coursera Instructor Network
    • Drug Utilization: Trends, Determinants and Consequences: Johns Hopkins University
    • Introduction to AI and Machine Learning: LearnKartS
    • Database Management and Core Application Development: Packt
    • AWS Step Functions – Automate Complex Tasks with Workflows: Packt
    • TOTAL - CompTIA CySA+ Cybersecurity Analyst (CS0-003): Packt
    • Public Health Principles: Systems and Strategies : Coursera Instructor Network
    • Machine Learning for Trading: Google Cloud
    • MBE Mastering Business Essentials: Emory 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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