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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
    U

    University of Minnesota

    Nearest Neighbor Collaborative Filtering

    Skills you'll gain: AI Personalization, Machine Learning Algorithms, Predictive Modeling, Applied Machine Learning, Data Mining, Algorithms, Collaborative Software, Data Manipulation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    308 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Introduction to R: Basic R syntax

    Skills you'll gain: R Programming, Arithmetic, Statistical Programming, Development Environment, Programming Principles, Data Import/Export

    4.5
    Rating, 4.5 out of 5 stars
    ·
    47 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    SQL CASE Statements

    Skills you'll gain: PostgreSQL, SQL, Query Languages, Data Transformation, Data Manipulation, Database Development, Data Management

    4.5
    Rating, 4.5 out of 5 stars
    ·
    30 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Deep Learning

    Skills you'll gain: Deep Learning, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Unsupervised Learning, Generative Adversarial Networks (GANs), Autoencoders, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Natural Language Processing, Applied Machine Learning, Model Evaluation, Performance Tuning

    Build toward a degree

    3.6
    Rating, 3.6 out of 5 stars
    ·
    36 reviews

    Intermediate · Course · 1 - 3 Months

  • 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: Preview
    Preview
    U

    University of Colorado Boulder

    의사 결정을 위한 비즈니스 분석

    Skills you'll gain: Business Analytics, Risk Analysis, Data Analysis, Decision Making, Business Modeling, Trend Analysis, Process Optimization, Simulation and Simulation Software, Market Analysis, Microsoft Excel, Unsupervised Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Relational Database Implementation and Applications

    Skills you'll gain: Relational Databases, Database Management, Database Development, SQL, MySQL, Database Design, Transaction Processing, Stored Procedure, Java, Data Structures, Data Integrity, Performance Tuning

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    29 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    SQL Window Functions for Analytics

    Skills you'll gain: SQL, PostgreSQL, Query Languages, Database Management, Database Systems, Data Manipulation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    41 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Machine Learning

    Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Classification Algorithms, Supervised Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    283 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    32 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Probability and Statistical Methods

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistics, Statistical Inference, Probability, R Programming

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Data Manipulation, Classification Algorithms

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Nearest Neighbor Collaborative Filtering: University of Minnesota
  • Introduction to R: Basic R syntax: Coursera
  • SQL CASE Statements: Coursera
  • Introduction to Deep Learning: University of Colorado Boulder
  • Developing Explainable AI (XAI): Duke University
  • 의사 결정을 위한 비즈니스 분석: University of Colorado Boulder
  • Relational Database Implementation and Applications: Illinois Tech
  • SQL Window Functions for Analytics: Coursera
  • Microsoft Azure Machine Learning: Microsoft
  • Using probability distributions for real world problems in R: 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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