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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: New
    New
    P

    Packt

    The Ultimate SQL Bootcamp: Zero to Hero in 9 Hours

    Skills you'll gain: Microsoft SQL Servers, Relational Databases, Database Architecture and Administration, Data Analysis, Business Analytics

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls

    Skills you'll gain: Responsible AI, Machine Learning, Data Ethics, Predictive Analytics, Statistical Modeling, Supervised Learning, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Machine Learning Algorithms, Decision Tree Learning, Data Analysis, Deep Learning, Logistic Regression, Artificial Neural Networks

    4.9
    Rating, 4.9 out of 5 stars
    ·
    64 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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: 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
    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

    Fine Tune BERT for Text Classification with TensorFlow

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Evaluation, Transfer Learning, Natural Language Processing, Data Preprocessing, Deep Learning, Data Pipelines

    4.6
    Rating, 4.6 out of 5 stars
    ·
    211 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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
    A

    American Psychological Association

    Measures of Correlation and Contingency

    Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Software, Statistical Analysis, Statistical Methods, Probability & Statistics, Quantitative Research, Data Analysis, Descriptive Statistics, Statistical Hypothesis Testing

    Beginner · 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

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Orthogonality and Diagonalization

    Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Numerical Analysis, Geometry, Applied Mathematics, Algebra, Mathematical Modeling

    4.9
    Rating, 4.9 out of 5 stars
    ·
    45 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Business Intelligence (BI) Analyst

    Skills you'll gain: Data Storytelling, Dashboard, Data Presentation, Data Visualization, Database Design, MySQL, Presentations, Descriptive Statistics, Extract, Transform, Load, Business Intelligence, Data Visualization Software, IBM DB2, Tableau Software, Relational Databases, Star Schema, IBM Cognos Analytics, Interactive Data Visualization, Microsoft SQL Servers, Regression Analysis, Excel Formulas

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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1…206207208…834

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

  • The Ultimate SQL Bootcamp: Zero to Hero in 9 Hours: Packt
  • Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls: SAS
  • Introduction to R: Basic R syntax: Coursera
  • SQL CASE Statements: Coursera
  • 의사 결정을 위한 비즈니스 분석: University of Colorado Boulder
  • Microsoft Azure Machine Learning: Microsoft
  • Fine Tune BERT for Text Classification with TensorFlow: Coursera
  • Using probability distributions for real world problems in R: Coursera
  • Measures of Correlation and Contingency: American Psychological Association
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University

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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