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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


  • I

    IBM

    Generative AI for Product Managers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, AI Product Strategy, ChatGPT, Generative AI, Commercialization, Product Management, Google Gemini, Product Lifecycle Management, Stakeholder Communications, LLM Application, Artificial Intelligence, Customer experience improvement, Team Building, Responsible AI, Return On Investment, Product Development, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Creativity

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

  • M

    Microsoft

    Automation & Advanced Techniques with Copilot in Excel

    Skills you'll gain: Excel Macros, Dashboard, Forecasting, Microsoft Copilot, Microsoft Excel, UI Components, Visual Basic (Programming Language), Data Analysis Expressions (DAX), User Interface (UI), Automation, Debugging, Scenario Testing, Programming Principles

    4.5
    Rating, 4.5 out of 5 stars
    ·
    52 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Generative AI for Software Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Data Ethics, Software Design, Software Architecture, Continuous Integration, Software Design Patterns, Software Development, LLM Application, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Application Security, Software Engineering, AI Personalization, Debugging, DevSecOps, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • W

    Whizlabs

    Exam Prep DP-600: Microsoft Fabric Analytics Engineer

    Skills you'll gain: Power BI, Microsoft Azure, Data Lakes, Data Analysis Expressions (DAX), Azure Synapse Analytics, Data Modeling, Data Governance, Data Warehousing, Microsoft SQL Servers, Data Analysis, Analytics, Extract, Transform, Load, Data Integration, Data Import/Export, Real Time Data, Data Mart, Data Transformation, Data Management, Data Architecture, Data Pipelines

    3.1
    Rating, 3.1 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Generative AI for UI UX Design

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Design Research, Persona (User Experience), User Interface and User Experience (UI/UX) Design, Design Software, AI Workflows, User Interface (UI) Design, Brainstorming, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Large Language Modeling, Human Centered Design, AI Personalization, User Story, Wireframing, Ideation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 1 - 3 Months

  • V

    Vanderbilt University

    Generative AI HR Professional

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Generative AI, LLM Application, AI Enablement, Human Resources, Management Training And Development, Employee Performance Management, Performance Review, Professional Development, Policy Development, New Hire Orientations, Communication, Communication Planning, Human Development, Recruitment, Interviewing Skills, Talent Recruitment, Policy Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.2K reviews

    Beginner · Specialization · 1 - 3 Months

  • I

    IBM

    Gen AI Foundational Models for NLP & Language Understanding

    Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), Data Ethics, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Data Preprocessing, Feature Engineering

    4.4
    Rating, 4.4 out of 5 stars
    ·
    183 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable machine learning applications: Part 5

    Skills you'll gain: Model Evaluation, Responsible AI, Exploratory Data Analysis, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Data Ethics, Development Environment, Software Engineering

    4.5
    Rating, 4.5 out of 5 stars
    ·
    22 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    77 reviews

    Advanced · Course · 1 - 4 Weeks

  • F

    Fractal Analytics

    Insights of Power BI

    Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Modeling, Data Visualization Software, Data Visualization, Data Transformation, Data Cleansing, Business Intelligence, Dashboard, Data Analysis, Business Reporting, Microsoft Excel, Key Performance Indicators (KPIs)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    55 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    CertNexus

    CertNexus Certified Ethical Emerging Technologist

    Skills you'll gain: Crisis Management, Data Ethics, Governance, Business Ethics, Responsible AI, Media Relations, Strategic Thinking, Communication Strategies, Business Leadership, Accountability, Ethical Standards And Conduct, Emerging Technologies, Organizational Leadership, Public Relations, Operational Risk, Risk Management, Communication, Leadership, Learning Strategies, Test Planning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    608 reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

  • Generative AI for Product Managers: IBM
  • Automation & Advanced Techniques with Copilot in Excel: Microsoft
  • Generative AI for Software Developers: IBM
  • Exam Prep DP-600: Microsoft Fabric Analytics Engineer: Whizlabs
  • Generative AI for UI UX Design: IBM
  • Generative AI HR Professional: Vanderbilt University
  • Gen AI Foundational Models for NLP & Language Understanding: IBM
  • Interpretable machine learning applications: Part 5: Coursera
  • Sample-based Learning Methods: University of Alberta
  • AI Workflow: Feature Engineering and Bias Detection: IBM

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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