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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.


Popular Exploratory Data Analysis Courses and Certifications


  • 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

  • C

    Coursera

    Nail Regression & Classification

    Skills you'll gain: Model Evaluation, Predictive Modeling, Regression Analysis, Advanced Analytics, Statistical Modeling, Classification Algorithms, Predictive Analytics, Logistic Regression, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Business Analysis, Machine Learning Methods, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build & Evaluate Decision Trees for ML

    Skills you'll gain: Model Evaluation, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Applied Machine Learning, Java, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Feature Engineering, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Machine Learning, Algorithms

    Advanced · Course · 1 - 4 Weeks

  • G

    Google

    AI for Research and Insights

    Skills you'll gain: Gemini, Data Presentation, Generative AI, Artificial Intelligence, AI Workflows, Research, Responsible AI

    4.8
    Rating, 4.8 out of 5 stars
    ·
    68 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Master XPath Querying for XML and Automation

    Skills you'll gain: Extensible Markup Language (XML), Extensible Languages and XML, Selenium (Software), White-Box Testing, Scalability, Software Testing, Web Applications, Test Automation, Test Script Development, Automation, Scenario Testing, Maintainability, Hypertext Markup Language (HTML)

    Beginner · Specialization · 1 - 3 Months

  • U

    University of Michigan

    Applied Text Mining in Python

    Skills you'll gain: Text Mining, Data Preprocessing, Natural Language Processing, Pandas (Python Package), Scikit Learn (Machine Learning Library), Classification Algorithms, Feature Engineering, Data Manipulation, Python Programming, Unsupervised Learning, Supervised Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • K

    King Abdullah University of Science and Technology

    Fundamental Skills in Bioinformatics

    Skills you'll gain: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Pandas (Python Package), Python Programming, NumPy, Data Manipulation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    92 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    360 reviews

    Advanced · Specialization · 3 - 6 Months

  • C

    Coursera

    LLM Engineering That Works: Prompting, Tuning, and Retrieval

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Data Ethics, Prompt Patterns, LLM Application, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Software Architecture, Test Automation, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Balance and Analyze Image Segmentation

    Skills you'll gain: Failure Analysis, Applied Machine Learning, Spatial Data Analysis, Predictive Modeling, Statistical Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Cape Town

    Julia Scientific Programming

    Skills you'll gain: Data Import/Export, Box Plots, Jupyter, Statistical Analysis, Data Visualization, Scientific Visualization, Exploratory Data Analysis, Descriptive Statistics, Data Manipulation, Numerical Analysis, Computer Programming, Statistical Hypothesis Testing, Mathematical Modeling, Package and Software Management

    4.4
    Rating, 4.4 out of 5 stars
    ·
    437 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Sequence Modeling, Transformers, and Transfer Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Deep Learning, PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Embeddings, Computer Vision

    Intermediate · Course · 1 - 4 Weeks

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1…200201202…834

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

  • AI for Project Reporting, Dashboards and Risk: Coursera
  • Nail Regression & Classification: Coursera
  • Build & Evaluate Decision Trees for ML: Coursera
  • AI for Research and Insights: Google
  • Master XPath Querying for XML and Automation: EDUCBA
  • Applied Text Mining in Python: University of Michigan
  • Fundamental Skills in Bioinformatics: King Abdullah University of Science and Technology
  • IBM AI Enterprise Workflow: IBM
  • LLM Engineering That Works: Prompting, Tuning, and Retrieval: Coursera
  • Balance and Analyze Image Segmentation: Coursera

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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