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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
    Free
    T

    The Chinese University of Hong Kong

    Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语)

    Skills you'll gain: Model Evaluation, Statistical Modeling, SPSS, Regression Analysis, SAS (Software), Statistical Analysis, Quantitative Research, Exploratory Data Analysis, Advanced Analytics, Data Analysis Software

    4.8
    Rating, 4.8 out of 5 stars
    ·
    25 reviews

    Mixed · Course · 3 - 6 Months

  • C

    Coursera

    Financial Analytics in RStudio: Identify Profit Drivers

    Skills you'll gain: Operational Analysis, Performance Analysis, Performance Improvement, Data Import/Export, Variance Analysis, Exploratory Data Analysis, Data Analysis, Financial Analysis, Operations Management, Operating Expense, Plot (Graphics), Waterfall Methodology

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Autoencoders, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Logistic Regression, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Image Analysis, Data Preprocessing, Model Deployment

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.1K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Practical Predictive Analytics: Models and Methods

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Data Analysis, R Programming, Statistical Methods, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Classification Algorithms, Probability & Statistics, Big Data

    4.1
    Rating, 4.1 out of 5 stars
    ·
    323 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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

  • Status: Preview
    Preview
    N

    NVIDIA

    AI Infrastructure and Operations Fundamentals

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Large Language Modeling, MLOps (Machine Learning Operations), Artificial Intelligence, Cloud Computing, Model Deployment, Cloud Infrastructure, AI Orchestration, Infrastructure Architecture, Data Infrastructure, Devops Tools, IT Infrastructure, Information Technology Operations, Deep Learning, Network Infrastructure, Hardware Architecture, Machine Learning, Data Centers, Computer Architecture

    4.6
    Rating, 4.6 out of 5 stars
    ·
    454 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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
    Rating, 4.8 out of 5 stars
    ·
    495 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    B

    Board Infinity

    Transformers in Action: A Practical Approach to NLP and AI

    Skills you'll gain: Hugging Face, Model Evaluation, Embeddings, Transfer Learning, Recurrent Neural Networks (RNNs), Model Deployment, Data Preprocessing, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • M

    MongoDB Inc.

    MongoDB Aggregation Framework

    Skills you'll gain: Data Transformation, MongoDB, Data Manipulation, NoSQL, Data Migration, Data Analysis, Query Languages, Data Preprocessing, Data Structures, Network Analysis, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    66 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Automate, Analyze, and AI Feedback

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Anomaly Detection, Predictive Analytics

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Getting started with ImageJ

    Skills you'll gain: Image Analysis, Software Installation, Data Analysis, Analysis, Scientific Methods, User Interface (UI)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    58 reviews

    Beginner · Guided Project · Less Than 2 Hours

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1…174175176…834

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

  • Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语): The Chinese University of Hong Kong
  • Financial Analytics in RStudio: Identify Profit Drivers: Coursera
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Machine Learning: Classification: University of Washington
  • Practical Predictive Analytics: Models and Methods: University of Washington
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • AI Infrastructure and Operations Fundamentals: NVIDIA
  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
  • Transformers in Action: A Practical Approach to NLP and AI: Board Infinity
  • MongoDB Aggregation Framework: MongoDB Inc.

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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