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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


  • N

    Northeastern University

    Master of Science in Data Analytics Engineering

    Skills you'll gain: Data Storytelling, Text Mining, Data Warehousing, Unsupervised Learning, Database Design, Data Governance, Data Mining, Interactive Data Visualization, Generative AI, Web Scraping, Plotly, Classification Algorithms, PyTorch (Machine Learning Library), Operations Research, Supervised Learning, NoSQL, Database Theory, Exploratory Data Analysis, Time Series Analysis and Forecasting, Natural Language Processing

    Earn a degree

    Degree · 1 - 4 Years

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Applications of Software Architecture for Big Data

    Skills you'll gain: Database Management, Acceptance Testing, Web Applications, Microservices, Software Architecture, Software Engineering, Data Infrastructure, System Monitoring, Functional Requirement, Application Deployment, User Acceptance Testing (UAT), Application Development, Distributed Computing, Prototyping, Requirements Elicitation, Test Automation, Agile Product Development, Big Data, Data Analysis

    Build toward a degree

    3.5
    Rating, 3.5 out of 5 stars
    ·
    19 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    LearnKartS

    AWS Databases & Compute for Data Engineers

    Skills you'll gain: Serverless Computing, Containerization, Amazon Web Services, Data Migration, Amazon DynamoDB, Docker (Software), Database Systems, Databases, Cloud Engineering, Kubernetes, AWS Identity and Access Management (IAM), Data Infrastructure, Operational Databases, Amazon Elastic Compute Cloud, Database Management, Performance Tuning, Amazon S3, Cloud Deployment, Cloud Security, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • H

    H2O.ai

    Data Science and Machine Learning H2O.ai Platforms

    Skills you'll gain: Model Deployment, Generative AI, Data Wrangling, Project Planning, Responsible AI, Data Preprocessing, Data Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, AI Enablement, MLOps (Machine Learning Operations), Data Science, Prompt Engineering, Model Evaluation, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    SAS

    Four Rare Machine Learning Skills All Data Scientists Need

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Marketing Analytics, Statistical Machine Learning, Machine Learning, Data Science, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Statistical Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Serverless Data Processing with Dataflow: Operations en Español

    Skills you'll gain: Dataflow, Data Pipelines, Debugging, Google Cloud Platform, System Monitoring, Data Integrity, CI/CD, Data Processing, Unit Testing, Performance Tuning, Disaster Recovery

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    Importing Data to a Firestore Database

    Skills you'll gain: Data Import/Export, Data Migration, Serverless Computing, File Management, Cloud Computing, Cloud Storage, Google Cloud Platform, Database Development

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time: Information Theory & Games

    Skills you'll gain: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Reinforcement Learning, AI Security, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Azure Data Factory : Implement SCD Type 1

    Skills you'll gain: Data Pipelines, Microsoft SQL Servers, Microsoft Azure, Database Development, Data Warehousing, SQL, Data Integration, Extract, Transform, Load

    4.2
    Rating, 4.2 out of 5 stars
    ·
    13 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    G

    Google Cloud

    Analyzing and Visualizing Data the Google Way

    Skills you'll gain: Google Sheets, Data Literacy, Data Visualization Software, Spreadsheet Software, Big Data, Data Storytelling, Data Analysis, Data Presentation, Google Cloud Platform, Data Integration, Data Manipulation

    4
    Rating, 4 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Engineering Career Guide and Interview Preparation

    Skills you'll gain: Professional Networking, Interviewing Skills, LinkedIn, Technical Communication, Professional Development, Data Strategy, Data Ethics, Data Infrastructure, Data Pipelines, Verbal Communication Skills, Communication Strategies

    4.7
    Rating, 4.7 out of 5 stars
    ·
    96 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Cyber Security: Data Security and Information Privacy

    Skills you'll gain: Information Privacy, Personally Identifiable Information, Data Security, Threat Modeling, Vulnerability Assessments, Cybersecurity, Vulnerability, Data Ethics, General Data Protection Regulation (GDPR), Cyber Risk, Data Governance, Data Integrity, Data Encryption Standard, Security Management, Security Software, Compliance Management, Risk Management, Data Access, Security Strategy, NIST 800-53

    Beginner · Course · 1 - 3 Months

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1…131132133…834

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

  • Master of Science in Data Analytics Engineering: Northeastern University
  • Applications of Software Architecture for Big Data: University of Colorado Boulder
  • AWS Databases & Compute for Data Engineers: LearnKartS
  • Data Science and Machine Learning H2O.ai Platforms: H2O.ai
  • Four Rare Machine Learning Skills All Data Scientists Need: SAS
  • Serverless Data Processing with Dataflow: Operations en Español: Google Cloud
  • Importing Data to a Firestore Database: Google Cloud
  • Data Science Decisions in Time: Information Theory & Games: Johns Hopkins University
  • Azure Data Factory : Implement SCD Type 1: Coursera
  • Analyzing and Visualizing Data the Google Way: Google Cloud

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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