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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: New
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    Status: Free Trial
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    Coursera

    Analyze Healthcare Data: Boost Patient Outcomes

    Skills you'll gain: Data Literacy, Statistical Visualization

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    EDUCBA

    Seaborn Setup: Tools, Data Prep & EDA for Visualization

    Skills you'll gain: Data Processing, Data-Driven Decision-Making, NumPy

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
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    Coursera

    Analyze, Engineer, and Boost AI ROI

    Skills you'll gain: Feature Engineering, Data Analysis, Return On Investment, Data Storytelling, Performance Measurement, Business Metrics, Statistical Inference

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    E

    EDUCBA

    Apply Neural Networks for Car Price Prediction

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, Data Preprocessing, Model Evaluation, Data Wrangling, Data Import/Export, Data Transformation, Predictive Modeling, Applied Machine Learning, Predictive Analytics, Statistical Methods, Regression Analysis, Model Training, Model Optimization, Artificial Neural Networks

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Colorado Boulder

    Predictive Modeling and Analytics

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Logistic Regression, Exploratory Data Analysis, Data Visualization, Data Presentation, Business Analytics, Analytics, Statistical Visualization, Data Analysis, Statistical Modeling, Data-Driven Decision-Making, Applied Machine Learning, Regression Analysis, Data Analysis Software, Classification Algorithms, Statistical Machine Learning, Microsoft Excel, Graphing, Data Cleansing

    3.6
    Rating, 3.6 out of 5 stars
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    605 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Fundamentals of Machine Learning for Supply Chain

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Preprocessing, Operations Research, NumPy, Data Manipulation, Supply Chain, Supply Chain Management, Data Transformation, Pandas (Python Package), Supply Chain Planning, Data Analysis, Data Cleansing, Data Science, Python Programming, Pivot Tables And Charts, Applied Machine Learning, Plot (Graphics), Data Structures

    3.7
    Rating, 3.7 out of 5 stars
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    41 reviews

    Beginner · Course · 1 - 4 Weeks

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    IBM

    Supervised Machine Learning: Regression

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

    4.7
    Rating, 4.7 out of 5 stars
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    833 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Logistic Regression with NumPy and Python

    Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Exploratory Data Analysis, Logistic Regression, NumPy, Data Analysis, Jupyter, Scikit Learn (Machine Learning Library), Data Science, Machine Learning, Machine Learning Algorithms, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    396 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    IBM

    Unsupervised Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Data Preprocessing, Machine Learning, Text Mining, Data Mining, Data Science, Big Data, Data Analysis, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
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    364 reviews

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Basic Statistics in Python (Correlations and T-tests)

    Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Statistical Visualization, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
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    35 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)

    4.8
    Rating, 4.8 out of 5 stars
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    458 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Fine-tuning, Machine Learning, Artificial Intelligence, Computer Vision

    4.6
    Rating, 4.6 out of 5 stars
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    294 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Analyze Healthcare Data: Boost Patient Outcomes: Coursera
  • Seaborn Setup: Tools, Data Prep & EDA for Visualization: EDUCBA
  • Analyze, Engineer, and Boost AI ROI: Coursera
  • Apply Neural Networks for Car Price Prediction: EDUCBA
  • Predictive Modeling and Analytics : University of Colorado Boulder
  • Fundamentals of Machine Learning for Supply Chain: LearnQuest
  • Supervised Machine Learning: Regression: IBM
  • Logistic Regression with NumPy and Python: Coursera
  • Unsupervised Machine Learning: IBM
  • Basic Statistics in Python (Correlations and T-tests): Coursera

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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