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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


  • U

    University of Colorado Boulder

    Introduction to R Programming and Tidyverse

    Skills you'll gain: Rmarkdown, Ggplot2, Data Visualization, Tidyverse (R Package), R Programming, Data Visualization Software, Statistical Programming, Data Manipulation, Data Analysis, Data Transformation, Software Installation, Programming Principles

    4.2
    Rating, 4.2 out of 5 stars
    ·
    49 reviews

    Beginner · Course · 1 - 4 Weeks

  • S

    SAS

    Practical SAS Programming and Certification Review

    Skills you'll gain: SAS (Software), Data Import/Export, Statistical Analysis, Data Analysis, Statistical Programming, Data Manipulation, Data Processing, Data Access, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    356 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google

    Play It Safe: Manage Security Risks

    Skills you'll gain: Security Management, Threat Management, Cybersecurity, Cyber Risk, Risk Management, Incident Response, Vulnerability Management, Security Information and Event Management (SIEM), Security Controls, Continuous Monitoring, Information Systems Security, Enterprise Security, Risk Analysis, Threat Detection, Information Assurance, Auditing, Compliance Auditing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Working with BigQuery

    Skills you'll gain: Statistical Reporting, Data Visualization, Big Data, SQL, Query Languages, Data Import/Export, Data Presentation, Google Cloud Platform, Data Warehousing, Data Sharing, Analytics

    4.3
    Rating, 4.3 out of 5 stars
    ·
    271 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Statistical Visualization, Responsible AI

    4.7
    Rating, 4.7 out of 5 stars
    ·
    19 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • M

    Macquarie University

    Excel Skills for Business: Intermediate I

    Skills you'll gain: Microsoft Excel, Dashboard, Spreadsheet Software, Data Analysis Expressions (DAX), Consolidation, Business Reporting, Data Management, Data Integration, Data Cleansing, Automation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    18K reviews

    Intermediate · Course · 1 - 3 Months

  • S

    SAS

    Structured Query Language (SQL) using SAS

    Skills you'll gain: SQL, SAS (Software), Database Management, Query Languages, Data Access, Database Management Systems, Data Presentation, Data Manipulation, Data Integration, Data Processing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    287 reviews

    Mixed · Course · 1 - 3 Months

  • D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Rust (Programming Language), Microsoft Copilot, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Big Data

    4.1
    Rating, 4.1 out of 5 stars
    ·
    217 reviews

    Advanced · Course · 1 - 3 Months

  • U

    University of Michigan

    Generative AI Essentials: Overview and Impact

    Skills you'll gain: Generative AI, ChatGPT, Large Language Modeling, Prompt Engineering, Responsible AI, Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Social Impact, Business Economics, Culture, Business Ethics, Law, Regulation, and Compliance, Intellectual Property

    4.7
    Rating, 4.7 out of 5 stars
    ·
    331 reviews

    Beginner · Course · 1 - 4 Weeks

  • N

    New York University

    Guided Tour of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Model Evaluation, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Finance, Financial Market, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    681 reviews

    Intermediate · Course · 1 - 4 Weeks

  • A

    Alberta Machine Intelligence Institute

    Introduction to Applied Machine Learning

    Skills you'll gain: Data Preprocessing, Data Ethics, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Product Lifecycle Management, Case Studies, Data Collection, Supervised Learning, Business Requirements, Data Quality, Business Analysis, Unsupervised Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    747 reviews

    Intermediate · Course · 1 - 4 Weeks

  • A

    Arizona State University

    Experimental Design Basics

    Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Hypothesis Testing, Design Strategies, Probability & Statistics, Statistical Modeling, Descriptive Statistics, Quality Control, Variance Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    312 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Introduction to R Programming and Tidyverse: University of Colorado Boulder
  • Practical SAS Programming and Certification Review: SAS
  • Play It Safe: Manage Security Risks: Google
  • Working with BigQuery: Coursera
  • Interpretable Machine Learning Applications: Part 4: Coursera
  • Excel Skills for Business: Intermediate I: Macquarie University
  • Structured Query Language (SQL) using SAS : SAS
  • DevOps, DataOps, MLOps: Duke University
  • Generative AI Essentials: Overview and Impact: University of Michigan
  • Guided Tour of Machine Learning in Finance: New York 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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