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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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    Coursera

    Probabilistic Graphical Models: A Compact Introduction

    Skills you'll gain: Bayesian Network, Predictive Modeling, Machine Learning Methods, Markov Model, Statistical Modeling, Artificial Intelligence, Statistical Inference, Graph Theory, Network Analysis, Probability & Statistics, Sampling (Statistics), Algorithms, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud

    Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Cloud Deployment, Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Data Preprocessing, Model Evaluation, Artificial Neural Networks, Feature Engineering, Machine Learning, Python Programming, Data Transformation

    4.4
    Rating, 4.4 out of 5 stars
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    2.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    SAS

    SAS Advanced Programmer

    Skills you'll gain: SQL, SAS (Software), Database Management, Query Languages, Case Studies, Data Access, Database Management Systems, Program Development, Data Presentation, Scripting, Perl (Programming Language), Data Processing, Automation, Data Integration, Statistical Programming, Stored Procedure, Data Manipulation, Data Transformation, Debugging, Data Analysis

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    406 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture

    4.8
    Rating, 4.8 out of 5 stars
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    1.7K reviews

    Intermediate · Specialization · 3 - 6 Months

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    University of Colorado Boulder

    Introduction to Python Fundamentals

    Skills you'll gain: Programming Principles, Computer Programming, Data Manipulation, Python Programming, Scripting Languages, Scripting, Data Structures, Data Science

    4.8
    Rating, 4.8 out of 5 stars
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    229 reviews

    Beginner · Course · 1 - 4 Weeks

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    Google

    Hello, Python!

    Skills you'll gain: Package and Software Management, Data Science, Computer Programming, Mathematical Software

    4.8
    Rating, 4.8 out of 5 stars
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    75 reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    GPU Clusters & Containers

    Skills you'll gain: Model Deployment, Containerization, Application Deployment, MLOps (Machine Learning Operations), AI Orchestration, Docker (Software), Kubernetes, AI Workflows, Distributed Computing, Cloud Computing, Scalability, Cloud Infrastructure

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    ESSEC Business School

    Case studies in business analytics with ACCENTURE

    Skills you'll gain: Case Studies, Digital Transformation, Advanced Analytics, Business Analytics, Analytics, Business Analysis, Data Analysis, Value Propositions, Consultative Approaches, Business Transformation

    3.7
    Rating, 3.7 out of 5 stars
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    210 reviews

    Mixed · Course · 1 - 4 Weeks

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    Whizlabs

    Fundamentals of Machine Learning

    Skills you'll gain: Supervised Learning, Unsupervised Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, AWS SageMaker, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Azure DevOps, Model Deployment, Microsoft Azure, Amazon Web Services, Deep Learning, Data Processing

    Intermediate · Course · 1 - 3 Months

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    Google

    AI for Content Creation

    Skills you'll gain: Google Gemini, Gemini, Style Guides, Presentations, Generative AI, Content Creation, AI Enablement, Prompt Engineering, Artificial Intelligence, Design Reviews, Responsible AI, Storytelling, Prototyping, Brand Management, Video Production

    4.8
    Rating, 4.8 out of 5 stars
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    61 reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Apply SOLID Design to Optimize Java ML

    Skills you'll gain: Apache Maven, Maintainability, Gradle, Java, Software Design, Software Design Patterns, Software Architecture, Object Oriented Design, Object Oriented Programming (OOP), API Design, Machine Learning Methods, Programming Principles, Integration Testing, Dependency Analysis, User Interface (UI) Design, Design Strategies, Program Evaluation, Automation

    Advanced · Course · 1 - 4 Weeks

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    Eindhoven University of Technology

    Improving your statistical inferences

    Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Sample Size Determination, Research, R Programming, Data Sharing

    4.9
    Rating, 4.9 out of 5 stars
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    801 reviews

    Intermediate · Course · 1 - 3 Months

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1…211212213…834

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

  • Probabilistic Graphical Models: A Compact Introduction: Coursera
  • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
  • SAS Advanced Programmer: SAS
  • TensorFlow: Advanced Techniques: DeepLearning.AI
  • Introduction to Python Fundamentals: University of Colorado Boulder
  • Hello, Python!: Google
  • GPU Clusters & Containers: Coursera
  • Case studies in business analytics with ACCENTURE: ESSEC Business School
  • Fundamentals of Machine Learning: Whizlabs
  • AI for Content Creation: Google

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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