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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


  • V

    Vanderbilt University

    GPT Vision: Seeing the World through Generative AI

    Skills you'll gain: Generative AI, Expense Reports, Image Analysis, Expense Management, Organizational Skills, Computer Vision, Data Storytelling, Project Controls, Social Media Content, Artificial Intelligence, Photography, Prompt Engineering, Cooking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    236 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Getting started with TensorFlow 2

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Convolutional Neural Networks, Transfer Learning, Supervised Learning, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    582 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Foundations of Open Generative AI Engineering

    Skills you'll gain: Generative Model Architectures, Large Language Modeling, Generative AI, Open Source Technology, Image Analysis, Model Evaluation, Model Deployment, Data Security

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Apply Advanced SQL Server Analytics and Programming

    Skills you'll gain: Data-Driven Decision-Making, Database Design, Data Processing, Scripting Languages, Scripting, Data Structures

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Applied Unsupervised Learning in Python

    Skills you'll gain: Unsupervised Learning, Embeddings, Supervised Learning, Data Preprocessing, Python Programming, Exploratory Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Advanced · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Apply and Analyze Sqoop for Hadoop ETL

    Skills you'll gain: Apache Hadoop, Apache Hive, Extract, Transform, Load, Data Import/Export, Data Pipelines, Big Data, Data Migration, Data Integration, MySQL, Data Processing, SQL, Analytics, Data Manipulation, Database Management, Relational Databases, Data Architecture, Data Quality, Software Installation, Scalability, Performance Tuning

    Beginner · Specialization · 1 - 3 Months

  • U

    University of Michigan

    Python Basics

    Skills you'll gain: Debugging, Programming Principles, Program Development, Python Programming, Data Structures, Computer Programming, Computer Graphics, Diagram Design

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Naive Bayes 101: Resume Selection with Machine Learning

    Skills you'll gain: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Preprocessing, Natural Language Processing, Machine Learning, Unstructured Data, Data Analysis, Data Manipulation, Python Programming, Computer Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Using Basic Formulas and Functions in Microsoft Excel

    Skills you'll gain: Excel Formulas, Spreadsheet Software, Microsoft Excel, Microsoft Office, Microsoft 365, Data Analysis, Business Mathematics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.6K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Markov Model, Machine Learning, Statistical Modeling, Probability Distribution, Statistical Methods, Algorithms, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    304 reviews

    Advanced · Course · 1 - 3 Months

  • U

    University of California, Santa Cruz

    C and Go: Classical and Modern Programming

    Skills you'll gain: Go (Programming Language), File I/O, Data Structures, Programming Principles, Object Oriented Programming (OOP), Debugging, Computer Programming, Unit Testing, C (Programming Language), Program Development, Integrated Development Environments, Computer Science, Software Testing, Algorithms, Integration Testing, Software Design, System Design and Implementation, Distributed Computing, Software Documentation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    7.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Machine Learning with TensorFlow Google Cloud 日本語版

    Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Model Deployment, Data Quality, Data Preprocessing, Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Embeddings, Applied Machine Learning, Exploratory Data Analysis, Supervised Learning, Logistic Regression, MLOps (Machine Learning Operations), Machine Learning, AI Enablement, Machine Learning Algorithms, Jupyter, Artificial Neural Networks

    4.4
    Rating, 4.4 out of 5 stars
    ·
    152 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • GPT Vision: Seeing the World through Generative AI: Vanderbilt University
  • Getting started with TensorFlow 2: Imperial College London
  • Foundations of Open Generative AI Engineering: Coursera
  • Apply Advanced SQL Server Analytics and Programming: EDUCBA
  • Applied Unsupervised Learning in Python: University of Michigan
  • Apply and Analyze Sqoop for Hadoop ETL: EDUCBA
  • Python Basics: University of Michigan
  • Naive Bayes 101: Resume Selection with Machine Learning: Coursera
  • Using Basic Formulas and Functions in Microsoft Excel: Coursera
  • Probabilistic Graphical Models 3: Learning: Stanford 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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