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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.


More to explore:

Popular Exploratory Data Analysis Courses and Certifications


  • U

    University of Colorado Boulder

    Advanced Business Analytics

    Skills you'll gain: Data Storytelling, Data Presentation, Data Governance, Predictive Modeling, Data Management, Predictive Analytics, Business Analytics, Logistic Regression, Analytics, Exploratory Data Analysis, Data Quality, Data Ethics, Data Analysis, Risk Analysis, Business Intelligence, Data Modeling, Data Visualization, Decision Making, Data Cleansing, SQL

    4.6
    Rating, 4.6 out of 5 stars
    ·
    5.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Production AI Model Development and Ethics

    Skills you'll gain: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Data Preprocessing, Machine Learning, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Cape Town

    Julia Scientific Programming

    Skills you'll gain: Data Import/Export, Box Plots, Jupyter, Statistical Analysis, Data Visualization, Scientific Visualization, Exploratory Data Analysis, Descriptive Statistics, Data Manipulation, Numerical Analysis, Computer Programming, Statistical Hypothesis Testing, Mathematical Modeling, Package and Software Management

    4.4
    Rating, 4.4 out of 5 stars
    ·
    438 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google

    Project Initiation: Starting a Successful Project

    Skills you'll gain: Scope Management, Project Scoping, Stakeholder Analysis, Project Management Life Cycle, Project Documentation, Goal Setting, Project Management, Stakeholder Management, Cost Benefit Analysis, Project Management Software, AI Product Strategy, Resource Management, Strategic Thinking, Business Writing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    24K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Apply Test-Driven ML Code

    Skills you'll gain: Unit Testing, Test Driven Development (TDD), CI/CD, Software Testing, Model Deployment, Testability, MLOps (Machine Learning Operations), Tensorflow, Maintainability, Software Engineering, Machine Learning Methods, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • S

    SAS

    SAS Visual Business Analytics

    Skills you'll gain: SAS (Software), Network Analysis, Trend Analysis, Data Manipulation, Data Analysis, Forecasting, Data Quality, Text Mining, Data Visualization Software, Spatial Analysis, Dashboard, Analysis, Data Mapping, Analytics, Data Visualization, Time Series Analysis and Forecasting, Business Analytics, Interactive Data Visualization, Data-Driven Decision-Making, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud

    Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Cloud Deployment, Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Data Preprocessing, Model Evaluation, Artificial Neural Networks, Feature Engineering, Machine Learning, Python Programming, Data Transformation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.8K reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    IBM DevOps and Software Engineering

    Skills you'll gain: User Story, Cloud Deployment, CI/CD, Software Development Life Cycle, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Linux Commands, Software Architecture, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Kubernetes, Restful API, 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

  • L

    LearnKartS

    Become AI-Ready: Deep Learning Fundamentals

    Skills you'll gain: Generative AI, Recurrent Neural Networks (RNNs), Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    AI and Disaster Management

    Skills you'll gain: Disaster Recovery, Image Analysis, Data Ethics, Emergency Response, Mitigation, Text Mining, Natural Language Processing, Artificial Intelligence, Geospatial Mapping, Computer Vision, Spatial Data Analysis, Artificial Neural Networks, Convolutional Neural Networks, Model Evaluation, Data Preprocessing, Exploratory Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    319 reviews

    Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Introduction to Neurohacking In R

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Image Analysis, Data Manipulation, Neurology, R Programming, Data Processing, Scientific Visualization, Data Preprocessing, Data Transformation, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    315 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Campus BBVA

    Business Analytics

    Skills you'll gain: Data Storytelling, Data-Driven Decision-Making, Data Visualization, Business Analytics, Dashboard, Data Quality, Data Analysis, Descriptive Statistics, Business Intelligence, Probability & Statistics, Statistical Inference, Statistics, Big Data, Statistical Analysis, Key Performance Indicators (KPIs)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    221 reviews

    Beginner · Course · 1 - 3 Months

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

  • Advanced Business Analytics: University of Colorado Boulder
  • Production AI Model Development and Ethics: Coursera
  • Julia Scientific Programming: University of Cape Town
  • Project Initiation: Starting a Successful Project: Google
  • Apply Test-Driven ML Code: Coursera
  • SAS Visual Business Analytics: SAS
  • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
  • IBM DevOps and Software Engineering: IBM
  • Become AI-Ready: Deep Learning Fundamentals: LearnKartS
  • AI and Disaster Management: DeepLearning.AI

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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