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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


  • E

    EDUCBA

    Master Dart Programming: Intermediate Control Flow & OOP

    Skills you'll gain: Scalability, Event-Driven Programming, Functional Design, Application Development, User Flows, Application Design, Computer Programming

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    AI For Everyone

    Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    52K reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Apply Artificial Intelligence Using Python for Beginners

    Skills you'll gain: AI Workflows, Artificial Intelligence

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Build Power BI Insights

    Skills you'll gain: Dashboard, Power BI, Stakeholder Communications, Management Reporting, Financial Data, Financial Analysis, Process Improvement, Business Metrics, Data Presentation, Business Reporting, Business Intelligence, Data-Driven Decision-Making, Project Performance, Data Integration, Project Management Software, Analytics

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Build and Analyze SSRS Reports with SQL Server

    Skills you'll gain: SQL Server Reporting Services, Microsoft SQL Servers, Business Reporting, Business Intelligence, SQL, Interactive Data Visualization, Data Visualization, Microsoft Development Tools, Microsoft Visual Studio

    Mixed · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Feature Engineering, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Mastering Software Development in R

    Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Data Visualization, Data Preprocessing, Technical Documentation, Datamaps, Visualization (Computer Graphics), Unit Testing, Data Cleansing, Interactive Data Visualization, Object Oriented Programming (OOP), Debugging

    4.2
    Rating, 4.2 out of 5 stars
    ·
    1.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • E

    EDUCBA

    Master Excel Automation Using Java, .NET, and Python

    Skills you'll gain: Business Process Automation, Data Presentation, Java, Productivity Software, C# (Programming Language), Data Capture, File I/O, Programming Principles, Scalability, Debugging

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Vector DB Foundations, Embeddings & Search Algorithms

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Data-Driven Decision-Making, LLM Application, Data Flow Diagrams (DFDs), Semantic Web, Database Theory, Prompt Engineering, Database Design, NumPy, Databases, Generative AI, Data Analysis, NoSQL, Embeddings, Model Evaluation, Simulations, Data-oriented programming, Python Programming, Plot (Graphics)

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    AI for Project Reporting, Dashboards and Risk

    Skills you'll gain: Stakeholder Communications, Dashboard, Data Import/Export, Model Evaluation, Prompt Engineering, Data-Driven Decision-Making, Ad Hoc Reporting, Performance Reporting, Report Writing, Responsible AI, Business Reporting, Generative AI, Extract, Transform, Load, Project Documentation, Data Transformation, Data Presentation, Technical Communication, Data Storytelling, AI Enablement, Risk Management

    Beginner · Course · 1 - 3 Months

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1…195196197…834

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

  • Master Dart Programming: Intermediate Control Flow & OOP: EDUCBA
  • AI For Everyone: DeepLearning.AI
  • Apply Artificial Intelligence Using Python for Beginners: EDUCBA
  • Build Power BI Insights: Coursera
  • Build and Analyze SSRS Reports with SQL Server: EDUCBA
  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
  • Build Predictive & Supervised Models: Coursera
  • Mastering Software Development in R: Johns Hopkins University
  • Master Excel Automation Using Java, .NET, and Python: EDUCBA
  • Machine Learning Foundations: A Case Study Approach: University of Washington

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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