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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
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      AWS: Databases and Migration

      Skills you'll gain: Amazon DynamoDB, Amazon Redshift, Database Management, Operational Databases, Transaction Processing, Data Migration, NoSQL, Redis, Relational Databases, Data Warehousing, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
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      Packt

      End User Security Awareness

      Skills you'll gain: Malware Protection, Computer Security Awareness Training, Cybersecurity, Security Awareness, Data Security, Network Security, Human Factors (Security), Personally Identifiable Information, Email Security, Wireless Networks

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Generative AI and its Impact on Cybersecurity

      Skills you'll gain: MITRE ATT&CK Framework, Generative AI, Cyber Threat Intelligence, Cyber Security Strategy, Cybersecurity, Threat Modeling, Computer Security, Cyber Attacks, Threat Detection, Artificial Intelligence, Anomaly Detection, Data Ethics, Information Privacy, Innovation

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      N

      Northeastern University

      Business Strategy and Value Creation In Action

      Skills you'll gain: Business Strategy, Corporate Strategy, Strategic Thinking, Strategic Planning, Business Planning, Organizational Strategy, Business, Competitive Analysis, Growth Strategies, Strategic Decision-Making, Value Propositions, Market Analysis, Market Dynamics, Innovation, Regulation and Legal Compliance

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera

      Facebook Analytics: Optimize Performance

      Skills you'll gain: Facebook, Content Performance Analysis, Social Media Content, Marketing Analytics, Data-Driven Decision-Making, Social Media, Digital Media Strategy, Social Media Management, Social Media Strategy, Trend Analysis, Performance Analysis, Performance Metric, Key Performance Indicators (KPIs)

      Beginner · Course · 1 - 4 Weeks

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

      IBM

      IBM Digital Marketing and Growth Hacking

      Skills you'll gain: Search Engine Marketing, Keyword Research, Google Ads, Digital Advertising, Web Analytics and SEO, Online Advertising, Digital Marketing, Target Audience, Digital Media Strategy, Advertising Campaigns, Pay Per Click Advertising, Search Engine Optimization, Email Marketing, Content Marketing, Paid media, Advertising, Marketing Analytics, Web Analytics, Generative AI, Marketing Automation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      10 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      AI-Augmented Decision-Making for Business Leaders

      Skills you'll gain: Forecasting, Business Leadership, Data Ethics, Strategic Decision-Making, Business Strategy, Leadership, Data-Driven Decision-Making, Artificial Intelligence, Data Storytelling, Business Risk Management, Business Ethics, Decision Making, Organizational Leadership, Technical Communication, Technology Strategies, Culture Transformation, Risk Management

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      Emory University

      Management Consulting

      Skills you'll gain: Data Cleansing, Presentations, Microsoft PowerPoint, Management Consulting, Executive Presence, Business Consulting, Benchmarking, Microsoft Excel, Storytelling, Data Storytelling, Proposal Development, Oral Expression, Business Research, Interviewing Skills, Six Sigma Methodology, Consultative Approaches, Analytical Skills, Data Quality, Professional Networking, Business Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      P

      Packt

      Practical C++: Learn C++ Basics Step by Step

      Skills you'll gain: Object Oriented Programming (OOP), C++ (Programming Language), Development Environment, Programming Principles, Computer Programming, Maintainability, Data Structures, Command-Line Interface, Debugging

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      SAP

      SAP Business Analyst

      Skills you'll gain: User Story, Business Process Modeling, Risk Analysis, Performance Measurement, Stakeholder Management, Process Analysis, Business Analysis, Risk Management, Requirements Elicitation, Requirements Management, Process Mapping, Stakeholder Engagement, Business Systems Analysis, Business Risk Management, Gap Analysis, Enterprise Risk Management (ERM), Stakeholder Communications, Business Requirements, User Requirements Documents, Requirements Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      11 reviews

      Beginner · Professional Certificate · 3 - 6 Months

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

      Packt

      ASP.NET Core MVC Fundamentals & CRUD Operations

      Skills you'll gain: ASP.NET, Model View Controller, .NET Framework, Object-Relational Mapping, Data Store, Database Management, Full-Stack Web Development, Web Development, Software Architecture, Middleware, Software Design Patterns, Data Validation, User Interface (UI)

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      データ アナリストのための BigQuery

      Skills you'll gain: SQL, Looker (Software), Extract, Transform, Load, Data Warehousing, Data Transformation, Data Manipulation, Google Sheets, Data Visualization Software, Data Cleansing, Analytics, Data Pipelines, Data Processing, Data Import/Export, Google Cloud Platform

      Intermediate · Course · 1 - 3 Months

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

    • AWS: Databases and Migration: Whizlabs
    • End User Security Awareness: Packt
    • Generative AI and its Impact on Cybersecurity: Packt
    • Business Strategy and Value Creation In Action: Northeastern University
    • Facebook Analytics: Optimize Performance: Coursera
    • IBM Digital Marketing and Growth Hacking: IBM
    • AI-Augmented Decision-Making for Business Leaders: Coursera Instructor Network
    • Management Consulting: Emory University
    • Practical C++: Learn C++ Basics Step by Step: Packt
    • SAP Business Analyst: SAP

    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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