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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


  • M

    MongoDB Inc.

    MongoDB Aggregation Framework

    Skills you'll gain: Data Transformation, MongoDB, Data Manipulation, Data Processing, Data Integration, NoSQL, Data Migration, Data Analysis, Query Languages, Data Preprocessing, Data Pipelines, Unstructured Data, Network Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    66 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Back-End Development

    Skills you'll gain: Cloud Deployment, Unit Testing, Software Development Life Cycle, Open Web Application Security Project (OWASP), OpenShift, Istio, Kubernetes, Cloud-Native Computing, Linux Commands, Software Architecture, Application Deployment, Bash (Scripting Language), Shell Script, Django (Web Framework), Object-Relational Mapping, Git (Version Control System), Grafana, Microservices, Data Import/Export, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    53K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    B

    Board Infinity

    AI in Manufacturing: Predictive Maintenance and Alerts

    Skills you'll gain: Failure Analysis, Applied Machine Learning, Machine Learning, Decision Intelligence, Random Forest Algorithm, Email Automation, No-Code Development, MLOps (Machine Learning Operations), Predictive Modeling, Machine Learning Methods, Predictive Analytics, Automation Engineering, Model Training, Automation, Model Deployment, AI Workflows, Data-Driven Decision-Making, Continuous Monitoring, Estimation, Machine Learning Algorithms

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM DevOps and Software Engineering

    Skills you'll gain: User Story, Cloud Deployment, CI/CD, Unit Testing, Software Development Life Cycle, Open Web Application Security Project (OWASP), Continuous Integration, OpenShift, Istio, Kubernetes, Linux Commands, Cloud Infrastructure, Test Driven Development (TDD), Devops Tools, Git (Version Control System), DevOps, Grafana, Software Engineering, Data Import/Export, Application Development

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    65K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

    Edureka

    Explainable AI (XAI)

    Skills you'll gain: Incident Management, Governance, Incident Response, Data Governance, Compliance Management, Policy Development, Risk Management, Governance Risk Management and Compliance, Risk Management Framework, Supplier Risk Management, Artificial Intelligence, Model Training, AI Security, Testability, Statistical Methods, Data Science, Model Optimization, Applied Machine Learning, Machine Learning Methods, Python Programming

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Inferential Statistics

    Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Correlation Analysis, Statistical Programming, Statistical Modeling, Logistic Regression, Predictive Modeling

    4.4
    Rating, 4.4 out of 5 stars
    ·
    612 reviews

    Mixed · Course · 1 - 3 Months

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

    IBM

    IBM Management Consultant

    Skills you'll gain: Financial Modeling, Financial Statement Analysis, Management Consulting, Strategic Planning, Business Strategy, Data Presentation, Business Consulting, Data Visualization, Stakeholder Engagement, Business Analysis, Stakeholder Management, Generative AI, Microsoft Excel, Problem Solving, Requirements Analysis, Process Improvement, Change Management, Lean Six Sigma, Key Performance Indicators (KPIs), Communication

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Model Training, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Feature Engineering, Machine Learning, Data Preprocessing, Model Optimization, Statistical Methods, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 Months

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

    Simplilearn

    Build Multi-Agent Systems with AutoGen for Beginners

    Skills you'll gain: AI Workflows, AI Orchestration, Generative AI Agents, Agentic Workflows, Agentic systems, LLM Application, Large Language Modeling, Artificial Intelligence, AI Personalization, Automation, Context Management, Memory Management

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Text Retrieval and Search Engines

    Skills you'll gain: Text Mining, Natural Language Processing, Data Mining, Unstructured Data, Big Data, Applied Machine Learning, Data Engineering, Web Scraping, AI Personalization, Model Evaluation, Machine Learning Algorithms, Web Analytics and SEO, Machine Learning, Model Optimization, Network Analysis, Statistical Methods, Statistical Modeling, Probability & Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    965 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Machine Learning Engineer: ML and Deep Learning Models

    Skills you'll gain: Supervised Learning, Model Optimization, PyTorch (Machine Learning Library), Fine-tuning, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Autoencoders, Machine Learning Methods, Machine Learning Software, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    K

    KodeKloud

    AWS AI Practitioner (AIF-C01): Exam Walkthrough & Mock Exam

    Skills you'll gain: Amazon Bedrock, Retrieval-Augmented Generation, AWS SageMaker, Amazon Web Services, Model Evaluation, AWS Identity and Access Management (IAM), AI Enablement, Decision Intelligence, Prompt Engineering, AWS Kinesis, Large Language Modeling, AWS CloudFormation, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Data Processing, Cloud Computing, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

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

  • MongoDB Aggregation Framework: MongoDB Inc.
  • IBM Back-End Development: IBM
  • AI in Manufacturing: Predictive Maintenance and Alerts: Board Infinity
  • IBM DevOps and Software Engineering: IBM
  • Explainable AI (XAI): Edureka
  • Inferential Statistics: University of Amsterdam
  • IBM Management Consultant: IBM
  • Machine Learning: Regression: University of Washington
  • Build Multi-Agent Systems with AutoGen for Beginners: Simplilearn
  • Text Retrieval and Search Engines: University of Illinois Urbana-Champaign

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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