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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


  • C

    Coursera

    Building Vision and NLP Workflows with TensorFlow pipelines

    Skills you'll gain: Model Evaluation, Computer Vision, Vision Transformer (ViT), Tensorflow, Keras (Neural Network Library), Embeddings, Deep Learning, Natural Language Processing, Model Deployment, Transfer Learning, Data Pipelines, Risk Modeling, Performance Tuning

    Intermediate · Course · 1 - 3 Months

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

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking

    ★ 4.6 (1.5K) · Advanced · Specialization · 3 - 6 Months

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

    Packt

    Generative AI & AWS AI Practitioner Certification

    Skills you'll gain: Responsible AI, Amazon Bedrock, Generative AI, AWS SageMaker, Large Language Modeling, Amazon Web Services, Machine Learning, Supervised Learning, Model Evaluation, Model Deployment, Artificial Intelligence, MLOps (Machine Learning Operations), Unsupervised Learning, Transfer Learning, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Optimize ML Dev: Version, Reproduce, and Save

    Skills you'll gain: Git (Version Control System), Version Control, Continuous Integration, Jupyter, 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
  • D

    DeepLearning.AI

    AI and Disaster Management

    Skills you'll gain: Disaster Recovery, Image Analysis, Data Ethics, Emergency Response, Mitigation, Text Mining, Natural Language Processing, Artificial Intelligence, Geospatial Mapping, Computer Vision, Spatial Data Analysis, Artificial Neural Networks, Convolutional Neural Networks, Model Evaluation, Data Preprocessing, Exploratory Data Analysis

    ★ 4.7 (320) · Beginner · Course · 1 - 4 Weeks

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

    SAS

    Practicing for the SAS Programming Certification Exam

    Skills you'll gain: SAS (Software), Data Analysis, Exploratory Data Analysis, Statistical Programming, Data Manipulation, Data Transformation, Data Import/Export, Data Validation

    ★ 4.8 (96) · Intermediate · Course · 1 - 4 Weeks

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

    Pragmatic AI Labs

    GitHub: Evaluating and Integrating AI Models

    Skills you'll gain: Responsible AI, Model Evaluation, GitHub, Application Programming Interface (API), AI Enablement, Generative AI, Development Environment, API Design, LLM Application, Cloud Development, Microsoft Azure, Scalability, Authentications, Data Validation

    Beginner · Course · 1 - 4 Weeks

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

    Coursera

    Grasp Vector DB Basics

    Intermediate · Course · 1 - 4 Weeks

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

    DeepLearning.AI

    Natural Language Processing with Sequence Models

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Tensorflow, Text Mining, Embeddings, Applied Machine Learning

    ★ 4.5 (1.2K) · Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Measure Vector Similarity

    Intermediate · Course · 1 - 4 Weeks

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

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Data Analysis, Probability Distribution

    ★ 4.8 (495) · Intermediate · Course · 1 - 3 Months

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

    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Convolutional Neural Networks, Responsible AI, Artificial Neural Networks, Data Ethics, Unsupervised Learning

    ★ 4.7 (2K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…214215216…834

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

  • Building Vision and NLP Workflows with TensorFlow pipelines: Coursera
  • Probabilistic Graphical Models: Stanford University
  • Generative AI & AWS AI Practitioner Certification: Packt
  • Optimize ML Dev: Version, Reproduce, and Save: Coursera
  • AI and Disaster Management: DeepLearning.AI
  • Practicing for the SAS Programming Certification Exam: SAS
  • GitHub: Evaluating and Integrating AI Models: Pragmatic AI Labs
  • Grasp Vector DB Basics: Coursera
  • Natural Language Processing with Sequence Models: DeepLearning.AI
  • Measure Vector Similarity: 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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