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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: Free Trial
    Free Trial
    G

    Google

    AI Fundamentals

    Skills you'll gain: Responsible AI, Prompt Patterns, AI powered creativity, AI Enablement, AI literacy, Artificial Intelligence, Google Gemini, Generative AI, AI Personalization, Model Evaluation, AI Workflows, Google Workspace

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Geographic Information Systems (GIS)

    Skills you'll gain: ArcGIS, GIS Software, Spatial Data Analysis, Spatial Analysis, Data Storytelling, Geographic Information Systems, Data Presentation, Geospatial Information and Technology, Geospatial Mapping, Public Health and Disease Prevention, Data Sharing, Public Health, Land Management, Heat Maps, Geostatistics, Epidemiology, Community Health, Image Analysis, Land Development, Project Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Generative AI Automation

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, AI Workflows, AI powered creativity, Responsible AI, Data Visualization, Document Management, Ideation, Verification And Validation, Data Presentation, LLM Application, AI literacy, Generative AI, AI Enablement, Risking, Multimodal Prompts, Image Analysis, Artificial Intelligence, Data Compilation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Essential Design Principles for Tableau

    Skills you'll gain: Data Visualization, Data Visualization Software, Tableau Software, Data Storytelling, Data Presentation, Exploratory Data Analysis, Visual Design, Statistical Visualization, Graphic and Visual Design, Design Elements And Principles, Data Analysis, Color Theory, Data Ethics, Statistical Analysis, Anomaly Detection, Human Factors, Aesthetics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Autoencoders, Feature Engineering, Dimensionality Reduction, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Scikit Learn (Machine Learning Library), Deep Learning, Data Science, Machine Learning, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.7K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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

    Coursera

    Google Analytics Insights

    Skills you'll gain: Google Analytics, Web Analytics, Journey Mapping, Digital Analysis, Marketing Analytics, Data Validation, Data-Driven Marketing, Data Collection, Analytics, Auditing, Debugging, Exploratory Data Analysis, Performance Measurement, Event Monitoring, Performance Reporting, Data Quality, Gap Analysis, Issue Tracking

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    SAS Programmer

    Skills you'll gain: SAS (Software), Data Manipulation, Statistical Reporting, Data Import/Export, Requirements Analysis, Data Transformation, Data Validation, Analysis, Data Access, Statistical Analysis, Statistical Programming, Data Analysis, Data Cleansing, Exploratory Data Analysis, Data Wrangling, Data Analysis Software, Microsoft Excel, Data Processing, Data Preprocessing, Data Integration

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.5K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    39K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Retrieval-Augmented Generation, PyTorch (Machine Learning Library), Computer Vision, Unsupervised Learning, Generative Model Architectures, Prompt Patterns, Generative AI, PySpark, Model Optimization, Keras (Neural Network Library), Supervised Learning, LLM Application, Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Machine Learning Algorithms, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Model Optimization, Regression Analysis, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    33K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    PwC

    Problem Solving with Excel

    Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Spreadsheet Software, Data Validation, Complex Problem Solving, Data Analysis Software, Data Analysis, Statistical Analysis, Financial Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, ChatGPT, Generative Adversarial Networks (GANs), Responsible AI, OpenAI, Data Ethics, AI literacy, Large Language Modeling, Leadership and Management, AI Enablement, Business Leadership, Strategic Leadership, Business Ethics, Hugging Face, Legal Risk, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • AI Fundamentals: Google
  • Geographic Information Systems (GIS): University of California, Davis
  • Generative AI Automation: Vanderbilt University
  • Essential Design Principles for Tableau: University of California, Davis
  • IBM Machine Learning: IBM
  • Google Analytics Insights: Coursera
  • SAS Programmer: SAS
  • Machine Learning: DeepLearning.AI
  • IBM AI Engineering: IBM
  • Supervised Machine Learning: Regression and Classification: DeepLearning.AI

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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