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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


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    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)

    3.9
    Rating, 3.9 out of 5 stars
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    25 reviews

    Intermediate · Course · 1 - 3 Months

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    Packt

    Advanced Machine Learning and Deep Learning

    Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Object Localization with TensorFlow

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Synthesis, Convolutional Neural Networks, Image Analysis, Computer Vision, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
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    117 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    MathWorks

    Introduction to Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
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    18 reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Navigating Generative AI: A CEO Playbook

    Skills you'll gain: Responsible AI, Workforce Development, Operational Efficiency, Thought Leadership, Technology Strategies

    4.8
    Rating, 4.8 out of 5 stars
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    94 reviews

    Mixed · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Mastering Software Development in R Capstone

    Skills you'll gain: Software Documentation, Leaflet (Software), Data Preprocessing, Technical Documentation, Data Cleansing, Data Visualization Software, Code Review, R Programming, GitHub, Continuous Integration, Software Testing

    4
    Rating, 4 out of 5 stars
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    44 reviews

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Octave Machine Learning: Apply, Analyze & Build

    Skills you'll gain: Scalability, Time Series Analysis and Forecasting, File I/O, Predictive Modeling, Programming Principles, Data Import/Export, Matlab, Exploratory Data Analysis, Scripting, Data Preprocessing, Statistical Analysis, Data Analysis, Data Processing, Data Manipulation, Applied Machine Learning

    Mixed · Course · 1 - 4 Weeks

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    Johns Hopkins University

    R البرمجة باستخدام لغة

    Skills you'll gain: R Programming, Statistical Programming, Statistical Analysis, Debugging, Data Analysis, Simulations, Programming Principles, Integrated Development Environments, Data Import/Export, Data Structures, Data Manipulation, Computer Programming, Performance Tuning, Software Installation

    Intermediate · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision

    4.4
    Rating, 4.4 out of 5 stars
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    12 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    Putting SQL to Work: The TechMart Challenge

    Skills you'll gain: SQL, Business Reporting, Report Writing, Performance Reporting, Data Cleansing, Data Analysis, Query Languages, Database Development, Data Manipulation, Analytical Skills, Prompt Engineering Tools, Data Transformation, Business Analysis, Technical Communication

    Beginner · Course · 1 - 4 Weeks

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    Imperial College London

    Customising your models with TensorFlow 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Data Pipelines, Keras (Neural Network Library), Transfer Learning, Deep Learning, Convolutional Neural Networks, Natural Language Processing, Embeddings, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
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    196 reviews

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Get Started with Microsoft Forms

    Skills you'll gain: Surveys, Employee Surveys, User Feedback, Microsoft Office, Microsoft 365, Developing Training Materials, Key Performance Indicators (KPIs)

    4.4
    Rating, 4.4 out of 5 stars
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    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Machine Learning: Concepts and Applications: The University of Chicago
  • Advanced Machine Learning and Deep Learning: Packt
  • Object Localization with TensorFlow: Coursera
  • Introduction to Deep Learning for Computer Vision: MathWorks
  • Navigating Generative AI: A CEO Playbook: Coursera
  • Mastering Software Development in R Capstone: Johns Hopkins University
  • Octave Machine Learning: Apply, Analyze & Build: EDUCBA
  • R البرمجة باستخدام لغة: Johns Hopkins University
  • Foundations of Neural Networks: Johns Hopkins University
  • Putting SQL to Work: The TechMart Challenge: 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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