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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


  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Model Deployment, Machine Learning, Supervised Learning, Regression Analysis, Decision Tree Learning, Feature Engineering, Data Preprocessing, Unsupervised Learning, Predictive Modeling, Logistic Regression, Anomaly Detection, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    R

    Real Madrid Graduate School Universidad Europea

    Introduction to AI and Technology in Sports

    Skills you'll gain: Sports Medicine, Analytics, Artificial Intelligence, AI Enablement, Data Analysis Software, Data Analysis, Deep Learning, Real Time Data, Machine Learning, Data Ethics, Health Technology, AI Security, Responsible AI, Large Language Modeling, Technology Solutions, Scikit Learn (Machine Learning Library), Technology Strategies, Statistical Methods, Natural Language Processing, Performance Appraisal

    4.5
    Rating, 4.5 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Everyone

    Skills you'll gain: Generative AI, AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Artificial Intelligence, Creative Problem-Solving, HR Tech, Marketing, Information Privacy, Critical Thinking

    4.7
    Rating, 4.7 out of 5 stars
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    127 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Developing Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Data Ethics, AI Security, Generative AI, Artificial Intelligence, AI Product Strategy, Machine Learning, Model Evaluation, Information Privacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    47 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Minnesota

    Recommender Systems: Evaluation and Metrics

    Skills you'll gain: Model Evaluation, Decision Support Systems, Business Metrics, Performance Metric, Data Collection, Performance Measurement, Benchmarking, Data Validation, A/B Testing, User Feedback, Predictive Analytics, Product Assortment

    4.4
    Rating, 4.4 out of 5 stars
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    235 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Evaluations of AI Applications in Healthcare

    Skills you'll gain: Healthcare Ethics, Data Ethics, Responsible AI, Medical Devices, Artificial Intelligence, Health Technology, Healthcare Industry Knowledge, Clinical Assessment, Model Evaluation, Health Equity, Health Informatics, Regulatory Compliance, Application Deployment, Continuous Monitoring, Decision Support Systems, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
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    324 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    E

    EDUCBA

    Python: Apply & Evaluate Sales Forecasting with Time Series

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Feature Engineering, Forecasting, Data-Driven Decision-Making, Data Preprocessing, Trend Analysis, Predictive Analytics, Predictive Modeling, Statistical Analysis, Data Visualization, Exploratory Data Analysis, Data Analysis, Pandas (Python Package), Jupyter

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    Gen AI Foundational Models for NLP & Language Understanding

    Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), Data Ethics, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Data Preprocessing, Feature Engineering

    4.4
    Rating, 4.4 out of 5 stars
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    170 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Project Finance & Excel: Build Financial Models from Scratch

    Skills you'll gain: Timelines, Return On Investment, Financial Statements, Financial Analysis, Balance Sheet, Construction Management, Capital Expenditure, Operating Cost, Income Statement, Cash Flow Forecasting, Microsoft Excel, Scheduling, Cash Flows, Revenue Forecasting

    4.5
    Rating, 4.5 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    E

    EDUCBA

    SPSS: Apply & Interpret Logistic Regression Models

    Skills you'll gain: Logistic Regression, Model Evaluation

    5
    Rating, 5 out of 5 stars
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    13 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    Illinois Tech

    Linear Regression

    Skills you'll gain: Statistical Inference, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Data Science, Logistic Regression, Data Analysis, Probability & Statistics, Linear Algebra

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    28 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Building R Packages

    Skills you'll gain: Open Source Technology, Package and Software Management, Unit Testing, GitHub, Version Control, Rmarkdown, Cross Platform Development, Software Versioning, Software Documentation, R Programming, Knitr, Continuous Integration, Development Testing, Technical Documentation

    4.1
    Rating, 4.1 out of 5 stars
    ·
    223 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Foundations of Machine Learning : Fractal Analytics
  • Introduction to AI and Technology in Sports: Real Madrid Graduate School Universidad Europea
  • GenAI for Everyone: Coursera
  • Developing Explainable AI (XAI): Duke University
  • Recommender Systems: Evaluation and Metrics: University of Minnesota
  • Evaluations of AI Applications in Healthcare: Stanford University
  • Python: Apply & Evaluate Sales Forecasting with Time Series: EDUCBA
  • Gen AI Foundational Models for NLP & Language Understanding: IBM
  • Project Finance & Excel: Build Financial Models from Scratch: Packt
  • SPSS: Apply & Interpret Logistic Regression Models: EDUCBA

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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