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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.


More to explore:

Popular Exploratory Data Analysis Courses and Certifications


  • Status: Preview
    Preview
    K

    Knowledge Accelerators

    Data-Driven Decisions with Power BI

    Skills you'll gain: Power BI, Data Import/Export, Business Intelligence, Data Transformation, Microsoft Power Platform, Data Visualization, Dashboard, Data Visualization Software, Data Presentation, Microsoft Excel, Interactive Data Visualization, Data Cleansing, Microsoft Teams, Business Analytics, Data Analysis, Management Reporting, Microsoft 365, Data Modeling, Microsoft Office, Data Science

    4.3
    Rating, 4.3 out of 5 stars
    ·
    267 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    GIS Data Acquisition and Map Design

    Skills you'll gain: Geographic Information Systems, Geospatial Mapping, Data Mapping, Spatial Data Analysis, Data Visualization, Metadata Management, Quantitative Research, Spatial Analysis, Typography, Data Manipulation, Data Modeling, Design Elements And Principles, Data Import/Export

    4.9
    Rating, 4.9 out of 5 stars
    ·
    719 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Advanced Data Science Techniques (with AWS Integration)

    Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Trend Analysis, Advanced Analytics, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Statistical Analysis, Forecasting, MLOps (Machine Learning Operations), Predictive Analytics, Data Preprocessing

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Data Engineers: Scaling with GenAI

    Skills you'll gain: Responsible AI, Prompt Engineering, Generative AI, AI Product Strategy, OpenAI, Data Pipelines, Data Modeling, ChatGPT, Data Transformation, Data Quality, Database Management, SQL

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Data Persistence and Firebase Integration

    Skills you'll gain: Data Persistence, JSON, User Interface (UI), User Interface and User Experience (UI/UX) Design, Database Development, Databases, Interactive Data Visualization, Debugging, Database Management, Application Development, Mobile Development, Real Time Data, Application Programming Interface (API), Data Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Promote the Ethical Use of Data-Driven Technologies

    Skills you'll gain: Data Ethics, Responsible AI, Emerging Technologies, Business Ethics, Ethical Standards And Conduct, Big Data, Information Privacy, Personally Identifiable Information, Artificial Intelligence, Diversity and Inclusion, Decision Making, Data Science

    4.7
    Rating, 4.7 out of 5 stars
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    286 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Scrape and analyze data analyst job requirements with Python

    Skills you'll gain: Web Scraping, Data Visualization, Data Preprocessing, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Manipulation, Data Import/Export, Extensible Markup Language (XML), Python Programming, Jupyter, GitHub

    3.3
    Rating, 3.3 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    C

    Coursera

    Azure Data Engineering: Cosmos DB, SQL & Analytics

    Skills you'll gain: Dashboard, Azure Synapse Analytics, Microsoft Azure, Data Storage Technologies, Microsoft SQL Servers, Data Storage, Data Presentation, Cloud Engineering, Data Store, Data Architecture, Data Infrastructure, Performance Tuning, Query Languages, Database Design, SQL, NoSQL, Data Processing, Process Optimization, Data Modeling, System Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    C++: Non-Linear Data Structures

    Skills you'll gain: Computational Thinking, Algorithms, Graph Theory, Data Structures, Computer Programming, C++ (Programming Language), Object Oriented Programming (OOP)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: Compute and Data Transfer

    Skills you'll gain: Serverless Computing, Amazon Web Services, Cloud Computing Architecture, Solution Architecture, Containerization, Data Migration, Cloud Deployment, Data Pipelines, Cloud Solutions, Data Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Scripting with Python and SQL for Data Engineering

    Skills you'll gain: Web Scraping, MySQL, SQL, JSON, Scripting, Data Persistence, Data Manipulation, Data Structures, Database Management, Databases, Data Import/Export, Data Capture, Spatial Analysis, Python Programming, Hypertext Markup Language (HTML)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    108 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Data-Driven Decisions with Power BI: Knowledge Accelerators
  • GIS Data Acquisition and Map Design: University of Toronto
  • Advanced Data Science Techniques (with AWS Integration): Coursera
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • GenAI for Data Engineers: Scaling with GenAI: Coursera
  • Data Persistence and Firebase Integration: Packt
  • Promote the Ethical Use of Data-Driven Technologies: CertNexus
  • Scrape and analyze data analyst job requirements with Python: Coursera
  • Azure Data Engineering: Cosmos DB, SQL & Analytics: Coursera
  • C++: Non-Linear Data Structures: Codio

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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