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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.


More to explore:

Popular Exploratory Data Analysis Courses and Certifications


  • E

    EDUCBA

    Design Scalable OpenGL Rendering Architectures

    Skills you'll gain: Software Architecture, Computer Graphics, Software Design, Maintainability, Software Design Patterns, Scalability, System Design and Implementation, Debugging, Performance Tuning

    Beginner · Course · 1 - 4 Weeks

  • U

    Universitat Autònoma de Barcelona

    Competencias digitales. Herramientas de ofimática (Microsoft Word, Excel, Power Point)

    Skills you'll gain: Microsoft PowerPoint, Microsoft Word, Microsoft Excel, Microsoft Office, Spreadsheet Software, digital literacy, Data Entry, Computer Literacy, Information Technology, Document Management, Graphical Tools

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.6K reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Modern Web Development with Blazor WebAssembly and .NET

    Skills you'll gain: ASP.NET, JavaScript Frameworks, Development Environment, Application Programming Interface (API), Microsoft Development Tools, Web Development, Microsoft Visual Studio, Maintainability, Software Design, UI Components, Data Validation, Version Control

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    37 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • J

    John Wiley & Sons

    Product Marketing and Go-to-Market Strategy

    Skills you'll gain: Product Marketing, Go To Market Strategy, Technical Product Management, Value Propositions, Product Strategy, Product Management, Strategic Marketing, New Product Development, Storytelling, Product Knowledge, Marketing Planning, Product Promotion, Market Share, Product Improvement, Brand Strategy, User Feedback, Strategic Partnership, Market Analysis, Communication Strategies, Customer Analysis

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Deploy & Optimize ML Services Confidently

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Integration, Artificial Intelligence and Machine Learning (AI/ML), DevOps, Service Level Agreement, API Design, Performance Measurement, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Accounting Principles, Compliance, and Audit Readiness

    Skills you'll gain: Generally Accepted Accounting Principles (GAAP), Bookkeeping, Variance Analysis, Accounting Records, Budget Management, Accounting, Standard Accounting Practices, Audit Planning, Compliance Auditing, Auditing, Accounting Systems, Document Management, Financial Auditing, Ledgers (Accounting), Record Keeping, Reconciliation, Compliance Reporting, Verification And Validation, File Management, Compliance Training

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Français

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Model Deployment, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Pipelines, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Cloud Deployment, Data Strategy, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Performance Tuning, Dataflow, Embeddings

    4.2
    Rating, 4.2 out of 5 stars
    ·
    30 reviews

    Intermediate · Specialization · 3 - 6 Months

  • R

    Real Madrid Graduate School Universidad Europea

    Applied Football Analytics - Looking at real-world cases

    Skills you'll gain: Data Synthesis, Data Integration, Data Literacy, Data Storytelling, Analysis, Case Studies, Business Analytics, Advanced Analytics, Analytical Skills, Strategic Decision-Making, Business Metrics, Forecasting, Media and Communications, Statistics, Persuasive Communication, Databases, Database Design, Innovation

    Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Computational and Graphical Models in Probability

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Advanced Machine Learning Techniques

    Skills you'll gain: Transfer Learning, Data Preprocessing, Hugging Face, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Python 101: Develop Your First Python Program

    Skills you'll gain: Game Design, Python Programming, Programming Principles, Computer Programming, Scripting, Data Validation, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    286 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Design Scalable OpenGL Rendering Architectures: EDUCBA
  • Competencias digitales. Herramientas de ofimática (Microsoft Word, Excel, Power Point): Universitat Autònoma de Barcelona
  • Modern Web Development with Blazor WebAssembly and .NET: Packt
  • Using probability distributions for real world problems in R: Coursera
  • Product Marketing and Go-to-Market Strategy: John Wiley & Sons
  • Deploy & Optimize ML Services Confidently: Coursera
  • Accounting Principles, Compliance, and Audit Readiness: Coursera
  • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
  • Applied Football Analytics - Looking at real-world cases: Real Madrid Graduate School Universidad Europea
  • Computational and Graphical Models in Probability: Johns Hopkins 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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