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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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    Northeastern University

    Engineering Probability and Statistics Part 1

    Skills you'll gain: Probability & Statistics, Probability Distribution, Probability, Statistical Modeling, Exploratory Data Analysis, Statistical Analysis, Bayesian Statistics, Descriptive Statistics, Data Analysis, Statistical Visualization, Correlation Analysis, Reliability

    Mixed · Course · 1 - 3 Months

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    Karlsruhe Institute of Technology

    Machine Translation

    Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Deep Learning, Statistical Machine Learning, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Language Interpretation, Translation, and Studies, Embeddings, Multilingualism, Vocabulary

    4.5
    Rating, 4.5 out of 5 stars
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    181 reviews

    Intermediate · Course · 1 - 3 Months

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    Columbia University

    Causal Inference

    Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Sampling (Statistics), Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Econometrics, Program Evaluation, Logistic Regression

    3.4
    Rating, 3.4 out of 5 stars
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    102 reviews

    Advanced · Course · 1 - 3 Months

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    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Classification Algorithms, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
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    77 reviews

    Intermediate · Course · 1 - 3 Months

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    University of Colorado Boulder

    의사 결정을 위한 비즈니스 분석

    Skills you'll gain: Business Analytics, Risk Analysis, Data Analysis, Decision Making, Business Modeling, Trend Analysis, Process Optimization, Simulation and Simulation Software, Market Analysis, Microsoft Excel, Unsupervised Learning

    4.8
    Rating, 4.8 out of 5 stars
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    14 reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Simple Parallel Coordinates Plot using d3 js

    Skills you'll gain: Data Visualization, Data Visualization Software, Data Presentation, Interactive Data Visualization, Data Literacy, Visualization (Computer Graphics), Javascript, Data Analysis, Microsoft Visual Studio

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
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    DeepLearning.AI

    Building Systems with the ChatGPT API

    Skills you'll gain: ChatGPT, OpenAI API, LLM Application, Large Language Modeling, Prompt Engineering, AI Workflows, Jupyter

    4.7
    Rating, 4.7 out of 5 stars
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    302 reviews

    Beginner · Project · Less Than 2 Hours

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    Whizlabs

    Microsoft Fabric: Implement and Manage Analytics Solutions

    Skills you'll gain: CI/CD, Microsoft Azure, Data Lakes, Microsoft Power Platform, Azure Synapse Analytics, Data Pipelines, Analytics, Data Governance, Advanced Analytics, Data Security, Data Management, Data Analysis Expressions (DAX), Power BI, Microsoft Excel, Exploratory Data Analysis, Apache Spark, Application Deployment, SQL, Governance, Version Control

    Intermediate · Course · 1 - 4 Weeks

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    Duke University

    Databricks to Local LLMs

    Skills you'll gain: Databricks, Model Deployment, Generative AI, Data Lakes, Extract, Transform, Load, MLOps (Machine Learning Operations), Data Transformation, LLM Application, Data Pipelines, Hugging Face, Large Language Modeling, Apache Spark, Responsible AI, Data Analysis, Data Science, Machine Learning

    4.1
    Rating, 4.1 out of 5 stars
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    10 reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling

    4.6
    Rating, 4.6 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Real Madrid Graduate School Universidad Europea

    Introduction to AI and Technology in Sports

    Skills you'll gain: Sports Medicine, Analytics, Artificial Intelligence, AI Enablement, Data Analysis Software, Data Analysis, Deep Learning, Real Time Data, Machine Learning, Data Ethics, Health Technology, AI Security, Responsible AI, Large Language Modeling, Technology Solutions, Scikit Learn (Machine Learning Library), Technology Strategies, Statistical Methods, Natural Language Processing, Performance Appraisal

    4.5
    Rating, 4.5 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Advanced Machine Learning with R: Apply & Predict

    Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis

    Mixed · Course · 1 - 4 Weeks

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

  • Engineering Probability and Statistics Part 1: Northeastern University
  • Machine Translation: Karlsruhe Institute of Technology
  • Causal Inference: Columbia University
  • Deep Learning with PyTorch: IBM
  • 의사 결정을 위한 비즈니스 분석: University of Colorado Boulder
  • Simple Parallel Coordinates Plot using d3 js: Coursera
  • Building Systems with the ChatGPT API: DeepLearning.AI
  • Microsoft Fabric: Implement and Manage Analytics Solutions: Whizlabs
  • Databricks to Local LLMs: Duke University
  • Foundations of Machine Learning: 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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