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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

    Chegg Skills

    Practical Prompt Engineering with AI

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Preview
    Preview
  • I

    IBM

    Generative AI for Business Intelligence (BI) Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Interactive Data Visualization, Business Intelligence, Business Intelligence Software, Data Presentation, Infographics, Dashboard Creation, AI literacy, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Responsible AI, LLM Application, Augmented and Virtual Reality (AR/VR), Data Analysis, Data Visualization, Model Evaluation

    ★ 4.7 (12K) · Intermediate · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • D

    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Fine-tuning, Deep Learning, Keras (Neural Network Library), Model Training, Model Optimization, Applied Machine Learning, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics)

    ★ 4.8 (1.7K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
  • J

    Johns Hopkins University

    Advanced R Programming

    Skills you'll gain: R (Software), Object Oriented Programming (OOP), Object Oriented Design, R Programming, Debugging, Code Reusability, Functional Design, Programming Principles, Computer Programming Tools, Data Structures, Analysis, Performance Tuning, Performance Testing

    ★ 4.2 (576) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Agentic systems, Markov Model, Decision Intelligence, Algorithms

    ★ 4.8 (2.9K) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • C

    Coursera

    Where, Why, and How of Lambda Functions in Python

    Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Exploratory Data Analysis, Python Programming

    ★ 4.8 (34) · Beginner · Guided Project · Less Than 2 Hours

  • J

    Johns Hopkins University

    Foundational Mathematics for AI

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Artificial Intelligence, Probability, Regression Analysis, Mathematical Software, Calculus, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Model Optimization, Integral Calculus, Algebra, Machine Learning Algorithms, Dimensionality Reduction

    ★ 4.9 (11) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
  • U

    University of Michigan

    Practical AI for Social Impact

    Skills you'll gain: Social Impact, Responsible AI, Machine Learning Algorithms, Case Studies, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Artificial Intelligence, Reinforcement Learning, Decision Intelligence, Data Ethics, AI literacy, Applied Machine Learning, Machine Learning, Model Deployment

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Image Quality, Model Training, Fine-tuning, Classification Algorithms, Machine Learning Algorithms, Deep Learning, Model Optimization, Network Architecture

    ★ 4.3 (1.4K) · Intermediate · Course · 1 - 3 Months

  • K

    KodeKloud

    AWS GenAI: RAG, AI Agents and Responsible AI

    Advanced · Course · 1 - 4 Weeks

    Category: New
    New
  • C

    Coursera

    Supervised Machine Learning

    Skills you'll gain: Supervised Learning, Model Optimization, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Machine Learning Methods, Decision Tree Learning, Predictive Modeling, Machine Learning, Fine-tuning, Machine Learning Algorithms, Model Evaluation, Logistic Regression, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

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

    University of Colorado Boulder

    Advanced Business Analytics

    Skills you'll gain: Data Storytelling, Predictive Modeling, Data Presentation, Data Governance, Data Visualization, Predictive Analytics, Model Evaluation, Data Management, Business Analytics, Storytelling, Data Literacy, Analytics, Exploratory Data Analysis, Logistic Regression, Data Analysis, Risk Analysis, Data-Driven Decision-Making, Data Cleansing, Data Visualization Software, SQL

    ★ 4.6 (5.3K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
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In summary, here are 10 of our most popular exploratory data analysis courses

  • Practical Prompt Engineering with AI: Chegg Skills
  • Generative AI for Business Intelligence (BI) Analysts: IBM
  • TensorFlow: Advanced Techniques: DeepLearning.AI
  • Advanced R Programming: Johns Hopkins University
  • Fundamentals of Reinforcement Learning: University of Alberta
  • Where, Why, and How of Lambda Functions in Python: Coursera
  • Foundational Mathematics for AI: Johns Hopkins University
  • Practical AI for Social Impact: University of Michigan
  • Introduction to Computer Vision and Image Processing: IBM
  • AWS GenAI: RAG, AI Agents and Responsible AI: KodeKloud

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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