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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
    E

    Edureka

    Generative AI Applications and Popular Tools

    Skills you'll gain: Responsible AI, Content Creation, Hugging Face

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Documentation and Usability for Cancer Informatics

    Skills you'll gain: Usability, User Experience Design, User Centered Design, Usability Testing, Technical Documentation, Bioinformatics, End User Training and Support, Clinical Informatics, Technical Writing, Product Development, Writing

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)

    Skills you'll gain: Reinforcement Learning, Deep Learning, Theoretical Computer Science, Classification Algorithms, Artificial Neural Networks, Artificial Intelligence, Machine Learning, Model Evaluation, Autoencoders, Convolutional Neural Networks, Supervised Learning, Computer Science, Decision Tree Learning, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    62 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    TensorFlow for Beginners: Basic Binary Image Classification

    Skills you'll gain: Model Deployment, Tensorflow, Model Evaluation, Data Preprocessing, Image Analysis, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Cybersecurity

    Skills you'll gain: Cybersecurity, Security Controls, Information Systems Security Assessment Framework (ISSAF), Computer Security, Security Strategy, Cyber Risk, Security Information and Event Management (SIEM), Data Ethics, Network Analysis, Personally Identifiable Information, Ethical Standards And Conduct

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    40K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Compensation, Benefits and Payroll

    Skills you'll gain: Payroll, HR Tech, Compensation Strategy, Generative AI Agents, Compensation and Benefits, Benefits Administration, Human Resources Information System (HRIS), Payroll Systems, Compensation Analysis, Compensation Management, Payroll Processing, Human Resources, Operational Efficiency, Responsible AI, AI Enablement, Data Ethics, Workforce Management, AI Personalization, Benefits Enrollment Processes, Automation

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    The Complete LangChain & LLMs Guide

    Skills you'll gain: LangChain, LLM Application, Prompt Engineering, Large Language Modeling, OpenAI API, Hugging Face, ChatGPT, Embeddings, AI Workflows, Development Environment, Generative AI Agents, Retrieval-Augmented Generation, Vector Databases, Python Programming, Document Management, Application Development, Context Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Variable Selection, Model Validation, Nonlinear Regression

    Skills you'll gain: Statistical Inference, Regression Analysis, Logistic Regression, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Predictive Modeling, Model Evaluation, Statistical Hypothesis Testing, Probability Distribution, Probability

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision

    4.4
    Rating, 4.4 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Java Programming and Software Engineering Fundamentals

    Skills you'll gain: File I/O, Java Programming, Software Design, Debugging, Software Engineering, Javascript, Computer Programming, Event-Driven Programming, Encryption, Algorithms, Image Analysis, AI Personalization, Program Development, Data Processing, Statistical Analysis, Data Import/Export, Predictive Modeling, Integrated Development Environments, Data Analysis, Cascading Style Sheets (CSS)

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

    Beginner · Specialization · 3 - 6 Months

  • Status: Free
    Free
    A

    Amazon Web Services

    Amazon Bedrock - Getting Started with Generative AI

    Skills you'll gain: Amazon Bedrock, Generative AI, AI Enablement, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence

    4.5
    Rating, 4.5 out of 5 stars
    ·
    190 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Simplilearn

    Advanced Prompt Engineering Course

    Skills you'll gain: Prompt Patterns, Prompt Engineering Tools, LangChain, Retrieval-Augmented Generation, Generative AI, AI Workflows, LLM Application, Large Language Modeling, OpenAI API, Data Synthesis

    Beginner · Course · 1 - 4 Weeks

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

  • Generative AI Applications and Popular Tools: Edureka
  • Documentation and Usability for Cancer Informatics: Johns Hopkins University
  • 人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory): National Taiwan University
  • TensorFlow for Beginners: Basic Binary Image Classification: Coursera
  • Foundations of Cybersecurity: Google
  • GenAI for Compensation, Benefits and Payroll: Coursera
  • The Complete LangChain & LLMs Guide: Packt
  • Variable Selection, Model Validation, Nonlinear Regression: Illinois Tech
  • Foundations of Neural Networks: Johns Hopkins University
  • Java Programming and Software Engineering Fundamentals: Duke University

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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