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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: New
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    Edureka

    Introduction to LLMs and Hugging Face

    Skills you'll gain: Hugging Face, LLM Application, LangChain, Large Language Modeling, OpenAI, Natural Language Processing, Generative AI Agents, ChatGPT, Responsible AI, Embeddings, Application Programming Interface (API), Text Mining, Restful API, Agentic systems, Open Source Technology, Data Preprocessing, MLOps (Machine Learning Operations), Python Programming, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    DeepLearning.AI

    Convolutional Neural Networks in TensorFlow

    Skills you'll gain: Transfer Learning, Convolutional Neural Networks, Tensorflow, Computer Vision, Image Analysis, Deep Learning, Applied Machine Learning, Visualization (Computer Graphics), Machine Learning, Data Preprocessing, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
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    8.2K reviews

    Intermediate · Course · 1 - 4 Weeks

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    University of Colorado Boulder

    Machine Learning: Theory and Hands-on Practice with Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Keras (Neural Network Library), PyTorch (Machine Learning Library), Vision Transformer (ViT), Scikit Learn (Machine Learning Library), Large Language Modeling, Embeddings, Network Architecture, Data Transformation, Algorithms

    Intermediate · Specialization · 3 - 6 Months

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    Tableau Learning Partner

    Introduction to Business Analytics

    Skills you'll gain: Data Literacy, Tableau Software, Business Analysis, Business Process, Analytics, Business Analytics, Business Intelligence, Data Analysis, Data-Driven Decision-Making, Project Management, Data Presentation, Descriptive Analytics, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
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    487 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Johns Hopkins University

    Mastering Software Development in R

    Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Data Visualization, Data Preprocessing, Technical Documentation, Datamaps, Visualization (Computer Graphics), Unit Testing, Data Cleansing, Interactive Data Visualization, Object Oriented Programming (OOP), Debugging

    4.2
    Rating, 4.2 out of 5 stars
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    1.5K reviews

    Beginner · Specialization · 3 - 6 Months

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    University of Colorado System

    Business Intelligence Concepts, Tools, and Applications

    Skills you'll gain: Business Intelligence, Decision Support Systems, Data Visualization, Data Warehousing, Performance Measurement, Data Presentation, MicroStrategy, Business Analytics, Data Visualization Software, Dashboard, Data Storytelling, Data Modeling, Business Process, Data-Driven Decision-Making, Key Performance Indicators (KPIs), Competitive Intelligence, Business Reporting, Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    650 reviews

    Mixed · Course · 1 - 3 Months

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    Coursera

    Optimize AI: Build Robust Ensemble Models

    Skills you'll gain: Model Deployment, Model Evaluation, Decision Tree Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Random Forest Algorithm, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

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    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Transfer Learning, Applied Machine Learning, Natural Language Processing, Machine Learning, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Computer Vision, Python Programming, Reinforcement Learning, Unsupervised Learning, Logistic Regression, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Data-Driven Decision-Making, Predictive Modeling, Probability Distribution

    3.8
    Rating, 3.8 out of 5 stars
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    798 reviews

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Voice AI: Introduction to Building Voice Applications

    Skills you'll gain: Case Studies, User Experience Design, Business Analysis, Natural Language Processing, Application Programming Interface (API), Application Deployment, Application Development, Artificial Intelligence, Systems Integration, Scalability

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Edureka

    Developing LLM Applications with LangChain

    Skills you'll gain: LangChain, LLM Application, Retrieval-Augmented Generation, OpenAI API, LangGraph, AI Workflows, Large Language Modeling, AI Orchestration, Responsible AI, Generative AI, Agentic systems, Prompt Engineering, Generative AI Agents, Natural Language Processing, Cloud Development, Application Programming Interface (API), Python Programming, Application Deployment, Data Processing, Pandas (Python Package)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    S

    SAS

    Statistical Thinking for Industrial Problem Solving, presented by JMP

    Skills you'll gain: Exploratory Data Analysis, Data Compilation, Correlation Analysis, Data Collection, Statistical Inference, Statistics, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistical Hypothesis Testing, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Visualization

    4.8
    Rating, 4.8 out of 5 stars
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    99 reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular Exploratory Data Analysis courses

  • Introduction to LLMs and Hugging Face: Edureka
  • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
  • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
  • Introduction to Business Analytics: Tableau Learning Partner
  • Mastering Software Development in R: Johns Hopkins University
  • Business Intelligence Concepts, Tools, and Applications: University of Colorado System
  • Optimize AI: Build Robust Ensemble Models: Coursera
  • Introduction to Machine Learning: Duke University
  • Bayesian Statistics: Duke University
  • Voice AI: Introduction to Building Voice Applications: Coursera

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