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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
    I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Model Training, Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Design Thinking, Market Opportunities, Data Science, Machine Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    376 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
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    D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, GitHub Copilot, Unit Testing, Data Engineering, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    633 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    Unilever

    Supply Chain Management and Analytics

    Skills you'll gain: Supply Chain, Demand Planning, Supply Chain Management, Supply Chain Planning, Process Improvement, Process Improvement and Optimization, Supply Management, Performance Improvement, Customer Demand Planning, Logistics Management, Resource Planning, Production Planning, Sustainable Business, Logistics, Analytics, Profit and Loss (P&L) Management, Data Analysis, Risk Management, Data Visualization, Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
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    574 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    AI Product Management

    Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Experience Design, Unsupervised Learning, Model Training, Machine Learning Methods, User Experience Design, Classification And Regression Tree (CART), Data Quality, Model Deployment, Human Centered Design, Machine Learning, Project Management, Product Management, Product Design, Data Science

    4.7
    Rating, 4.7 out of 5 stars
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    1.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
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    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Key Technologies for Business

    Skills you'll gain: Cloud Infrastructure, Responsible AI, Cloud Platforms, Cloud Computing, Cloud Computing Architecture, Cloud Services, Cloud Development, Data Literacy, Cloud Deployment, Machine Learning Methods, Data Mining, Cloud Security, Generative AI Agents, Generative AI, Cloud Technologies, Prompt Patterns, Data Processing, Big Data, Data Science, Business

    4.7
    Rating, 4.7 out of 5 stars
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    107K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Bayesian Inference Fundamentals

    Skills you'll gain: Bayesian Statistics, Statistics, Statistical Inference, Probability & Statistics, Statistical Modeling, Statistical Methods, Probability Distribution, Statistical Analysis, Markov Model, Statistical Programming, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    J

    John Wiley & Sons

    Machine Learning For Dummies

    Skills you'll gain: Data Literacy, Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Responsible AI, Data Ethics, Machine Learning Algorithms, Machine Learning Methods, Machine Learning, Model Training, Applied Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Deep Learning, Convolutional Neural Networks, Machine Learning Software, Python Programming, Data Preprocessing, Feature Engineering

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft PL-300 Exam Preparation and Practice

    Skills you'll gain: Power BI, Microsoft Copilot, Data Modeling, Data Analysis Expressions (DAX), Microsoft Power Platform, Data Storytelling, Data Visualization Software, Data Presentation, Interactive Data Visualization, Business Intelligence, Data Maintenance, Data Analysis, Extract, Transform, Load, Database Administration, Data Integration, Data Manipulation, Data Wrangling, Data Transformation, Data Access, Data Cleansing

    4.6
    Rating, 4.6 out of 5 stars
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    708 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    AI for Content Creation

    Skills you'll gain: AI powered creativity, Google Gemini, Visual Storytelling, Multimodal Prompts, Generative AI, AI literacy, AI Enablement, AI Personalization, AI Workflows, Creative Design, Ideation, Artificial Intelligence, Google Workspace, Responsible AI

    4.7
    Rating, 4.7 out of 5 stars
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    452 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Principles of fMRI 1

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Radiology, Statistical Methods, Data Analysis, Research Design, Image Analysis, Neurology, Hemodynamics, Data Preprocessing, Regression Analysis, Science and Research, Statistical Analysis, Statistical Modeling, Spatial Analysis, Statistical Inference, Statistics, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
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    852 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Skills for Business

    Skills you'll gain: Excel Formulas, Dashboard, Microsoft Excel, Dashboard Creation, Data Wrangling, Excel Macros, Data Preprocessing, Spreadsheet Software, Data Validation, Data Manipulation, Data Processing, Data Presentation, Interactive Data Visualization, Data Analysis Software, Business Analytics, Data Modeling, Financial Forecasting, Analytical Skills, Predictive Modeling, Productivity Software

    4.9
    Rating, 4.9 out of 5 stars
    ·
    64K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • IBM AI Enterprise Workflow: IBM
  • MLOps | Machine Learning Operations: Duke University
  • Supply Chain Management and Analytics: Unilever
  • AI Product Management: Duke University
  • Introduction to Machine Learning: Duke University
  • Key Technologies for Business: IBM
  • Bayesian Inference Fundamentals: University of Pittsburgh
  • Machine Learning For Dummies: John Wiley & Sons
  • Microsoft PL-300 Exam Preparation and Practice: Microsoft
  • AI for Content Creation: Google

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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