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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

    AI and European Union Law: Navigating Regulatory Compliance

    Skills you'll gain: Responsible AI, Legal Technology, Legal Risk, Legal Research, Law Practice Management Software, Data Ethics, Law, Regulation, and Compliance, AI Workflows, General Data Protection Regulation (GDPR), Regulation and Legal Compliance, Business Process Automation, Workflow Management, Compliance Management, Automation, Legal Strategy, AI Enablement, Electronic Discovery, AI Security, Research, Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad de los Andes

    Modelaje y Análisis con información georreferenciada

    Skills you'll gain: Spatial Analysis, Spatial Data Analysis, Geospatial Mapping, Geographic Information Systems, Environmental Monitoring, Climate Change Programs, Image Analysis, Jupyter, Remote Access Systems, Software Installation

    5
    Rating, 5 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning with Real-World Projects

    Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Artificial Intelligence, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    ChatGPT for Beginners: Using AI for Market Research

    Skills you'll gain: ChatGPT, Market Research, Marketing, Prompt Engineering, Language Interpretation, Translation, and Studies, Generative AI, Content Marketing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    91 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Predictive Analytics

    Skills you'll gain: Business Ethics, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Model Evaluation, Digital Transformation, Data-Driven Decision-Making, Feature Engineering, Regression Analysis, Supervised Learning, Python Programming, Cloud Computing, Data Quality, Classification Algorithms, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Build a Machine Learning Image Classifier with Python

    Skills you'll gain: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Image Analysis, Data Manipulation, Visualization (Computer Graphics), Convolutional Neural Networks, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning

    4.1
    Rating, 4.1 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    T

    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)

    3.8
    Rating, 3.8 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    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
    ·
    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    R 프로그래밍

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    K

    KodeKloud

    AWS Certified AI Practitioner

    Skills you'll gain: Responsible AI, Amazon Bedrock, Prompt Engineering, Generative AI, LLM Application, AI Security, Artificial Intelligence and Machine Learning (AI/ML), Embeddings, AWS SageMaker, Retrieval-Augmented Generation, Amazon Web Services, Large Language Modeling, Artificial Intelligence, Model Evaluation, Data Security, Human Centered Design

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Resampling, Selection and Splines

    Skills you'll gain: Data Science, Model Evaluation, Statistical Machine Learning, Dimensionality Reduction, Statistical Modeling, R Programming, Statistical Analysis, Statistical Methods, Regression Analysis, Statistics, Applied Mathematics, Logistic Regression

    Build toward a degree

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations and Core Concepts of PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Data Preprocessing, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    42 reviews

    Intermediate · Course · 1 - 3 Months

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

  • AI and European Union Law: Navigating Regulatory Compliance: Coursera
  • Modelaje y Análisis con información georreferenciada: Universidad de los Andes
  • Deep Learning with Real-World Projects: Packt
  • ChatGPT for Beginners: Using AI for Market Research: Coursera
  • Predictive Analytics: Dartmouth College
  • Build a Machine Learning Image Classifier with Python: Coursera
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Get Started with Microsoft Forms: Coursera
  • R 프로그래밍: Johns Hopkins University
  • AWS Certified AI Practitioner: 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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