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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


  • D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), 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

  • J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • G

    Google

    Decisions, Decisions: Dashboards and Reports

    Skills you'll gain: Dashboard, Business Intelligence, Tableau Software, Interactive Data Visualization, Business Reporting, Data Storytelling, Data Presentation, Data Visualization Software, Data Visualization, Stakeholder Communications, Performance Tuning, Interviewing Skills

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Advanced · Course · 1 - 3 Months

  • U

    Universidad de los Andes

    Ciencia de datos​

    Skills you'll gain: Data Visualization, Data Ethics, Data Integration, Exploratory Data Analysis, Statistical Hypothesis Testing, Predictive Modeling, Data Literacy, Correlation Analysis, Data Quality, Data Science, Jupyter, Data Analysis, Data Preprocessing, Data Transformation, Data Cleansing, Business Analytics, Supervised Learning, Regression Analysis, Applied Machine Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    570 reviews

    Beginner · Specialization · 1 - 3 Months

  • E

    EDUCBA

    Understand and Apply Artificial Intelligence Fundamentals

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Data-Driven Decision-Making

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Foundations of Model Optimization and Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Data Preprocessing, Performance Tuning, Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize with GA & RL

    Skills you'll gain: Reinforcement Learning, Inventory Management System, Supply Chain, Operations Research, Supply Chain Management, Process Optimization, Data-Driven Decision-Making, Process Analysis, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Decision Making, Simulations, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Build & Evaluate Real-Time Object Detectors

    Skills you'll gain: Computer Vision, Model Deployment, Performance Analysis, Performance Measurement, Data Pipelines, Quality Assessment

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google

    AI for App Building

    Skills you'll gain: Vibe coding, Responsible AI, Google Gemini, Google Cloud Platform, Generative AI, Process Analysis, Artificial Intelligence, Natural Language Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    441 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Build & Evaluate Decision Trees for ML

    Skills you'll gain: Model Evaluation, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Applied Machine Learning, Java, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Feature Engineering, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Machine Learning, Algorithms

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Dashboard Win Drivers

    Intermediate · Course · 1 - 4 Weeks

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

  • Introduction to Machine Learning: Duke University
  • Practical Machine Learning: Johns Hopkins University
  • Decisions, Decisions: Dashboards and Reports: Google
  • Ciencia de datos​: Universidad de los Andes
  • Understand and Apply Artificial Intelligence Fundamentals: EDUCBA
  • Foundations of Model Optimization and Deep Learning: Packt
  • Optimize with GA & RL: Coursera
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Build & Evaluate Real-Time Object Detectors: Coursera
  • AI for App Building: 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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