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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

    Predictive Models for Financial Risk

    Skills you'll gain: Decision Tree Learning, Supervised Learning, Predictive Modeling, Risk Modeling, Financial Modeling, Financial Data, Predictive Analytics, Statistical Machine Learning, Applied Machine Learning, Workflow Management, Data Validation, Data Preprocessing, Data Ethics, Model Evaluation, Responsible AI, Performance Reporting, Business Communication

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Introduction to Microsoft Excel

    Skills you'll gain: Microsoft Excel, Spreadsheet Software, Data Entry, Productivity Software, Data Manipulation, Expense Management, Budgeting, Inventory Management System, Data Management, Data Visualization, Data Analysis, Business Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    86 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • P

    Packt

    Getting Started with Vector Databases and AI Embeddings

    Skills you'll gain: Vector Databases, Embeddings, Generative AI, Artificial Intelligence, Database Management Systems, Data Storage, Databases, Retrieval-Augmented Generation, Scalability, Information Architecture, Anomaly Detection, Unstructured Data

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Deploying and Maintaining Production AI Systems

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Generative AI, Dependency Analysis, Dashboard, Continuous Deployment, System Monitoring, Responsible AI, Performance Tuning, Cloud Deployment, Site Reliability Engineering, Release Management, Kubernetes, Application Performance Management, CI/CD, Performance Analysis, Continuous Monitoring, Automation, Cloud Platforms, Data-Driven Decision-Making

    Intermediate · Course · 3 - 6 Months

  • G

    Google

    Use AI as a Creative or Expert Partner

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, ChatGPT, AI Enablement, Generative AI Agents, Ideation, Scenario Testing, Solution Design, Software Versioning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • E

    EDUCBA

    Analyze and Build Deep Learning Models with TensorFlow

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Machine Learning in Production

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Continuous Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.4K reviews

    Intermediate · 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

  • E

    EDUCBA

    Master Excel Automation Using Java, .NET, and Python

    Skills you'll gain: Business Process Automation, Data Presentation, Java, Productivity Software, C# (Programming Language), Data Capture, File I/O, Programming Principles, Scalability, Debugging

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Build & Evaluate Real-Time Object Detectors

    Skills you'll gain: Computer Vision, Model Deployment, Performance Analysis, Performance Measurement, Data Pipelines, Quality Assessment

    Intermediate · Course · 1 - 4 Weeks

  • 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

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1…198199200…834

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

  • Predictive Models for Financial Risk: Coursera
  • Introduction to Microsoft Excel: Coursera
  • Getting Started with Vector Databases and AI Embeddings: Packt
  • Deploying and Maintaining Production AI Systems: Coursera
  • Use AI as a Creative or Expert Partner: Google
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • Analyze and Build Deep Learning Models with TensorFlow: EDUCBA
  • Machine Learning in Production: DeepLearning.AI
  • IBM AI Enterprise Workflow: IBM
  • Master Excel Automation Using Java, .NET, and Python: EDUCBA

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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