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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


  • V

    Vanderbilt University

    OpenAI GPTs: Creating Your Own Custom AI Assistants

    Skills you'll gain: Retrieval-Augmented Generation, ChatGPT, Generative AI Agents, Prompt Patterns, Generative AI, Prompt Engineering, OpenAI, OpenAI API, Expense Management, AI Personalization, Expense Reports, Travel Arrangements, Development Testing, Tool Calling, Test Case, Human Computer Interaction, Interaction Design, Responsible AI, Human Centered Design, System Testing

    ★ 4.8 (763) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • S

    SkillsBooster Academy

    Building Basic AI Agents

    Skills you'll gain: Prompt Engineering, Prompt Patterns, LLM Application, Generative AI Agents, Make.com, Agentic Workflows, AI Workflows, AI Integrations, Tool Calling, Generative AI, Agentic systems, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Business Process Automation, Artificial Intelligence, Automation, Creativity, Machine Learning, Content Management, Digital Marketing

    ★ 5 (6) · Beginner · Course · 1 - 3 Months

    Category: New
    New
    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • G

    Google

    Foundations of Cybersecurity

    Skills you'll gain: Cybersecurity, Security Controls, Cyber Attacks, Security Management, Network Security, Cyber Risk, Security Information and Event Management (SIEM), Information Assurance, Data Ethics, Network Analysis

    ★ 4.8 (41K) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Applied Machine Learning, Model Training, Predictive Modeling, Model Optimization, Regression Analysis, Model Evaluation, Data Processing

    ★ 4.4 (1.9K) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Machine Learning Methods, Model Training, Random Forest Algorithm, Model Optimization, Data Analysis, Predictive Modeling, Model Evaluation, Python Programming, Performance Tuning, Classification Algorithms

    ★ 4.8 (617) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • N

    NVIDIA

    AI Infrastructure and Operations Fundamentals

    Skills you'll gain: Cloud Deployment, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Large Language Modeling, MLOps (Machine Learning Operations), Artificial Intelligence, LLM Application, Cloud Computing, Cloud Solutions, Generative Model Architectures, AI Enablement, Model Deployment, Cloud Infrastructure, Cloud Computing Architecture, AI Orchestration, Infrastructure Architecture, AI Workflows, Data Infrastructure, Artificial Neural Networks, Machine Learning

    ★ 4.6 (485) · Beginner · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • S

    SAS

    SAS Advanced Programmer

    Skills you'll gain: SQL, SAS (Software), Database Management, Query Languages, Case Studies, Data Access, Database Management Systems, Data Presentation, Perl (Programming Language), Data Processing, Automation, Statistical Programming, Data Manipulation, Data Management, Code Reusability, Data Structures, Data Transformation, Data Validation, Data Analysis, Data Storage

    ★ 4.8 (408) · Intermediate · Professional Certificate · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • C

    Coursera

    Train, Tune, & Ship: End-to-End Machine Learning Engineering

    Skills you'll gain: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Computer Vision, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)

    Intermediate · Specialization · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Optimize ML Dev: Version, Reproduce, and Save

    Skills you'll gain: Git (Version Control System), Model Training, Version Control, AI Workflows, Jupyter, Memory Management, Package and Software Management, Resource Utilization, Virtual Environment

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Modern Deep Learning Foundations

    Skills you'll gain: Model Deployment, Deep Learning, Model Optimization, Model Training, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Computer Vision, Recurrent Neural Networks (RNNs), Model Evaluation, Artificial Neural Networks, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Introduction to Neurohacking In R

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Image Analysis, Data Manipulation, R (Software), Neurology, R Programming, Radiology, Image Quality, Data Processing, Scientific Visualization, Data Preprocessing, Data Transformation, Histogram, Data Import/Export, File Management, Package and Software Management, Software Installation

    ★ 4.6 (315) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • F

    Fractal Analytics

    GenAI for Everyone

    Skills you'll gain: Generative AI, ChatGPT, Responsible AI, AI literacy, Social Impact, Data Ethics, AI Personalization, Organizational Effectiveness, LLM Application, Large Language Modeling, Operational Efficiency, Human Centered Design, Ethical Standards And Conduct, Strategic Thinking, Problem Solving, Critical Thinking

    ★ 4.4 (464) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
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In summary, here are 10 of our most popular exploratory data analysis courses

  • OpenAI GPTs: Creating Your Own Custom AI Assistants: Vanderbilt University
  • Building Basic AI Agents: SkillsBooster Academy
  • Foundations of Cybersecurity: Google
  • Introduction to Neural Networks and PyTorch: IBM
  • The Nuts and Bolts of Machine Learning: Google
  • AI Infrastructure and Operations Fundamentals: NVIDIA
  • SAS Advanced Programmer: SAS
  • Train, Tune, & Ship: End-to-End Machine Learning Engineering: Coursera
  • Optimize ML Dev: Version, Reproduce, and Save: Coursera
  • Modern Deep Learning Foundations: Packt

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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