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  • Exploratory Data Analysis

Exploratory Data Analysis Courses

Exploratory Data Analysis courses can help you learn data visualization techniques, statistical summaries, and data cleaning methods. You can build skills in identifying patterns, detecting anomalies, and interpreting results to inform decision-making. Many courses introduce tools like Python, R, and Tableau, which facilitate the analysis and presentation of data insights, allowing you to effectively communicate findings and support data-driven strategies.


Popular Exploratory Data Analysis Courses and Certifications


  • U

    University of Houston

    Math behind Moneyball

    Skills you'll gain: Probability & Statistics, Statistical Methods, Statistics, Microsoft Excel, Predictive Analytics, Game Theory, Spreadsheet Software, Predictive Modeling, Excel Formulas, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Statistical Modeling, Advanced Analytics, Data-Driven Decision-Making, Data Analysis, Analytics, Data Analysis Software, Simulations, Probability

    ★ 4.5 (97) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • U

    University of California, Davis

    Search Engine Optimization (SEO)

    Skills you'll gain: Keyword Research, Search Engine Optimization, Persona Development, Content Optimization, Content Creation, Social Media Strategy, Web Analytics and SEO, Client Services, Social Media Campaigns, Social Media, Content Strategy, Search Engine Marketing, Social Media Content, Social Media Marketing, Competitive Analysis, Target Audience, Content Development and Management, Content Performance Analysis, Data Analysis, Content Marketing

    ★ 4.6 (13K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Generative AI for Java and Spring Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Data Ethics, Generative AI Agents, Model Deployment, Restful API, Software Design Documents, Software Design, AI Integrations, Application Deployment, AI literacy, Software Architecture, Agentic Workflows, Continuous Integration, Artificial Intelligence and Machine Learning (AI/ML), Software Development, Java Programming

    ★ 4.7 (12K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Model Training, Amazon Web Services, Feature Engineering, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Machine Learning, Python Programming

    ★ 3.5 (56) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Craft Dashboards & Summaries

    Skills you'll gain: Descriptive Statistics, Dashboard, Dashboard Creation, Histogram, Descriptive Analytics, Data Presentation, Data Storytelling, Exploratory Data Analysis, Tableau Software, Data Visualization, Data-Driven Decision-Making, Content Performance Analysis, Strategic Decision-Making, Data Quality, Performance Analysis, Stakeholder Analysis, Business Metrics, Performance Metric, Gap Analysis

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    Universidad Nacional Autónoma de México

    Relational database systems

    Skills you'll gain: Database Systems, Database Theory, Relational Databases, Database Management, SQL, Databases, Database Design, Database Development, Database Application, Database Management Systems, Information Systems, MySQL, Query Languages, Data Modeling, Transaction Processing, MySQL Workbench, Information Systems Security, Data Integrity, Performance Tuning, Conceptual Design

    ★ 4.4 (461) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of California, Davis

    Fundamentals of GIS

    Skills you'll gain: ArcGIS, GIS Software, Geographic Information Systems, Geospatial Information and Technology, Data Sharing, Geospatial Mapping, Spatial Analysis, Metadata Management, Data Quality, Data Mapping, Data Visualization, Data Visualization Software, Data Analysis, File Management

    ★ 4.8 (5.9K) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Model Optimization, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Generative Adversarial Networks (GANs), Generative Model Architectures, Transfer Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Time Series Analysis and Forecasting

    ★ 4.4 (1K) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), GitHub Copilot, Responsible AI, Model Deployment, Containerization, Web Frameworks, Rust (Programming Language), AI Workflows, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, Cloud-Native Computing, Machine Learning, Serverless Computing, Application Deployment, GitHub, Command-Line Interface, Big Data

    ★ 4.1 (218) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Washington

    Practical Predictive Analytics: Models and Methods

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Data Science, Machine Learning Methods, Predictive Analytics, Applied Machine Learning, Analytics, Data Analysis, R Programming, Model Optimization, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning, Statistics, Graph Theory, Classification Algorithms, Network Analysis, Big Data

    ★ 4.1 (323) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of California, Davis

    Introduction to Google SEO

    Skills you'll gain: Search Engine Optimization, Persona Development, Web Analytics and SEO, Content Optimization, Target Audience, Branding, Digital Marketing, Consumer Behaviour, Algorithms, Data Analysis, Business Reporting

    ★ 4.6 (10K) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Pragmatic AI Labs

    Machine Learning with Databricks and MLflow

    Skills you'll gain: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
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In summary, here are 10 of our most popular exploratory data analysis courses

  • Math behind Moneyball: University of Houston
  • Search Engine Optimization (SEO): University of California, Davis
  • Generative AI for Java and Spring Developers: IBM
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Craft Dashboards & Summaries: Coursera
  • Relational database systems: Universidad Nacional Autónoma de México
  • Fundamentals of GIS: University of California, Davis
  • Deep Learning with Keras and Tensorflow: IBM
  • DevOps, DataOps, MLOps: Duke University
  • Practical Predictive Analytics: Models and Methods: University of Washington

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)

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