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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


  • Status: Free Trial
    Free Trial
    C

    Coursera

    Building AI Agents: Automation and NLP Foundations

    Skills you'll gain: CrewAI, Generative AI Agents, Responsible AI, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, AI Orchestration, Artificial Intelligence, Agentic systems, OpenAI, Automation, LLM Application, Data Ethics, Model Evaluation, Innovation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Creating Multi Task Models With Keras

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Convolutional Neural Networks, Deep Learning, Machine Learning, Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
    ·
    78 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    A

    Amazon Web Services

    Building a Generative AI-Ready Organization

    Skills you'll gain: AI Enablement, AI Product Strategy, Generative AI Agents, Strategic Thinking, Data-Driven Decision-Making, Competitive Intelligence, Decision Making, Innovation, Operational Efficiency, Strategic Planning, Technology Strategies, Thought Leadership, Program Implementation, Project Implementation, Technology Solutions

    4.5
    Rating, 4.5 out of 5 stars
    ·
    93 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Machine Learning Implementation and Operations in AWS

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Model Deployment, Scalability, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Technical Design, Amazon Elastic Compute Cloud, Cloud Security, Data Management, Disaster Recovery, Continuous Monitoring

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Machine Learning with PySpark: Recommender System

    Skills you'll gain: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Predictive Modeling, Unsupervised Learning, Applied Machine Learning, Scatter Plots, Embeddings, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Intro to TensorFlow en Español

    Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, Deep Learning, Machine Learning Methods, Data Preprocessing, NumPy, Supervised Learning, Pandas (Python Package)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    137 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Predict Ad Clicks Using Logistic Regression and XG-Boost

    Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Data Preprocessing, Customer Analysis, Predictive Modeling, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Logistic Regression, Data Cleansing, Data Manipulation, Advertising, Digital Advertising, Performance Analysis, Machine Learning, Python Programming, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    D

    Duke University

    Inferenzstatistik

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, R (Software), Statistical Reporting, Data Analysis, Statistical Analysis, R Programming, Statistical Methods, Probability & Statistics, Quantitative Research, Sampling (Statistics), Probability Distribution

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

    Skills you'll gain: NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Model Evaluation

    Beginner · Course · 3 - 6 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習技法 (Machine Learning Techniques)

    Skills you'll gain: Random Forest Algorithm, Regression Analysis, Decision Tree Learning, Supervised Learning, Machine Learning, Feature Engineering, Predictive Modeling, Deep Learning, Classification Algorithms, Dimensionality Reduction, Artificial Neural Networks, Model Evaluation, Logistic Regression

    4.9
    Rating, 4.9 out of 5 stars
    ·
    35 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure ML: Designing and Preparing Machine Learning Solutions

    Skills you'll gain: Model Deployment, Data Management, Data Pipelines, Statistical Modeling

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Python: Istruzioni per l’uso

    Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Computer Programming, Scripting, Programming Principles, Data Management, Functional Design, Debugging, Database Management, File Management, Databases

    4.1
    Rating, 4.1 out of 5 stars
    ·
    41 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Building AI Agents: Automation and NLP Foundations: Coursera
  • Creating Multi Task Models With Keras: Coursera
  • Building a Generative AI-Ready Organization: Amazon Web Services
  • Machine Learning Implementation and Operations in AWS: Whizlabs
  • Machine Learning with PySpark: Recommender System: Coursera
  • Intro to TensorFlow en Español: Google Cloud
  • Predict Ad Clicks Using Logistic Regression and XG-Boost: Coursera
  • Inferenzstatistik: Duke University
  • Fundamentals of AI, Machine Learning, and Python Programming: Packt
  • 機器學習技法 (Machine Learning Techniques): National Taiwan University

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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