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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


  • G

    Google

    Start Writing Prompts like a Pro

    Skills you'll gain: Multimodal Prompts, Prompt Engineering, Responsible AI, Context Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Alberta

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Model Evaluation, Artificial Neural Networks, Performance Testing, Performance Tuning, Pseudocode, Linear Algebra, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • M

    Microsoft

    Interactive Reporting and Visualization in Power BI

    Skills you'll gain: Interactive Data Visualization, Power BI, Statistical Visualization, Data Storytelling, Data Visualization Software, Dashboard, Ad Hoc Reporting, Business Reporting, Management Reporting, Advanced Analytics, Key Performance Indicators (KPIs), Compliance Reporting, Design Elements And Principles, User Experience, Strategic Decision-Making

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Feature Engineering, Probability & Statistics

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

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Applied Machine Learning and Model Optimization

    Skills you'll gain: Supervised Learning, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Performance Tuning

    Advanced · Course · 1 - 3 Months

  • E

    EDUCBA

    Apply Generative AI for Coaching, Research, and Performance

    Skills you'll gain: Coaching, Trend Analysis, Emotional Intelligence, Employee Engagement

    Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Preparing Images for AI Models

    Skills you'll gain: Image Quality, Data Preprocessing, Data Quality, Generative AI, Data Validation, Data Collection, Data Transformation, PyTorch (Machine Learning Library), Data Ethics, Data Management, Metadata Management

    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

  • C

    Coursera

    ML Model Training & Validation

    Skills you'll gain: Data Pipelines, MLOps (Machine Learning Operations), Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Applied Object Detection & Segmentation

    Skills you'll gain: Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), Predictive Analytics, Verification And Validation, Performance Analysis, Data Preprocessing, Image Analysis, Computer Vision, Performance Metric, Tensorflow, Data Quality, Performance Measurement, Applied Machine Learning, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Docker (Software), Python Programming

    Intermediate · Specialization · 1 - 3 Months

  • S

    SkillUp

    Advanced Healthcare Analytics

    Skills you'll gain: Clinical Documentation, Health Informatics, AI Security, Predictive Modeling, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Medical Privacy, Large Language Modeling, ChatGPT, Logistic Regression, Computer Vision

    Intermediate · Course · 1 - 4 Weeks

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1…190191192…834

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

  • Start Writing Prompts like a Pro: Google
  • Reinforcement Learning: University of Alberta
  • Interactive Reporting and Visualization in Power BI: Microsoft
  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
  • Applied Machine Learning and Model Optimization: Packt
  • Apply Generative AI for Coaching, Research, and Performance: EDUCBA
  • Practical Machine Learning: Johns Hopkins University
  • Preparing Images for AI Models: Coursera
  • Balance and Analyze Image Segmentation: Coursera
  • ML Model Training & Validation: 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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