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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


  • C

    Coursera

    Excel for Beginners: Sorting, Filtering, Data-Validation

    Skills you'll gain: Data Validation, Microsoft Excel, Spreadsheet Software, Data Entry, Data Integrity, Microsoft Office

    4.5
    Rating, 4.5 out of 5 stars
    ·
    30 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Exploring Dataset Metadata Between Projects with Data Catalog

    Skills you'll gain: Data Management, Cloud Computing, Data Lakes, Metadata Management, Google Cloud Platform, Big Data, Personally Identifiable Information

    Beginner · Project · Less Than 2 Hours

  • M

    Microsoft

    Building Data Lakes and Lakehouses with Microsoft Fabric

    Skills you'll gain: Data Lakes, Data Governance, Data Management, Microsoft Azure, Data Architecture, Data Warehousing, Data Integrity, Data Pipelines, Data Security, Role-Based Access Control (RBAC), Data Transformation, Real Time Data

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    PySide2 Project - Data Fetching Application

    Skills you'll gain: Application Development, Event-Driven Programming, Application Design, User Interface (UI), Program Development, Development Environment, Data Integration

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    70+ JavaScript Challenges - Data Structures and Algorithms

    Skills you'll gain: Graph Theory, Javascript, Program Development, Programming Principles, Software Design Patterns, Computational Thinking, Debugging, Development Environment, Computer Science, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • C

    Codio

    C++: Linear Data Structures and Trees

    Skills you'll gain: Data Structures, C++ (Programming Language), C and C++, Programming Principles, Algorithms, Theoretical Computer Science, Object Oriented Programming (OOP)

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze and Implement Apache HBase for Big Data Storage

    Skills you'll gain: Apache Hadoop, Apache, Database Systems, NoSQL, Big Data, Database Management Systems, Databases, Shell Script, Data Storage, Data Storage Technologies, Database Design, Software Installation, Data Access, Data Modeling, System Configuration, Command-Line Interface, Scalability

    Beginner · Course · 1 - 4 Weeks

  • A

    AI CERTs

    AI Tools, Data, and Experience Design

    Skills you'll gain: User Research, User Experience, UI/UX Research, User Interface and User Experience (UI/UX) Design, User Experience Design, Experience Design, Persona (User Experience), User Centered Design, Design Research, User Interface (UI), Design, Prototyping, Artificial Intelligence, User Interface (UI) Design, Design Thinking, Prompt Patterns, Wireframing, Responsible AI, Presentations, Professional Development

    Intermediate · Course · 1 - 3 Months

  • B

    Board Infinity

    Mastering Teradata for Data Warehouse & Analytics

    Skills you'll gain: Teradata SQL, SQL, Stored Procedure, Transaction Processing, Query Languages, Performance Tuning, Database Management, Data Manipulation, Data Security, Extract, Transform, Load, Database Architecture and Administration, Data Transformation, Data Storage, Relational Databases, Solution Design, Database Management Systems, Data Import/Export, Database Design, System Implementation, Mainframe Computing

    Intermediate · Specialization · 1 - 3 Months

  • J

    Johns Hopkins University

    Data Science Decisions in Time: Using Causal Information

    Skills you'll gain: Precision Medicine, Clinical Trials, Data Analysis, Data-Driven Decision-Making, Analytics, Data Science, Strategic Decision-Making, Root Cause Analysis, Random Forest Algorithm, Treatment Planning, Personalized Service, A/B Testing, Machine Learning, Online Advertising

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Presenting Data Using Charts with Canva

    Skills you'll gain: Presentations, Sales Presentations, Sales Presentation, Data Visualization, Productivity Software, Design

    4.4
    Rating, 4.4 out of 5 stars
    ·
    17 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • L

    LearnQuest

    No-Code Machine Learning and Data Science for Everyone

    Skills you'll gain: Responsible AI, Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Model Evaluation, Data Literacy, No-Code Development, Business Analytics, Data Science, Business Analysis, Model Deployment, Applied Machine Learning, Data Ethics, Data Capture, MLOps (Machine Learning Operations), Machine Learning, Data Analysis, Predictive Modeling, Data Visualization

    Beginner · Specialization · 1 - 3 Months

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1…146147148…834

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

  • Excel for Beginners: Sorting, Filtering, Data-Validation: Coursera
  • Exploring Dataset Metadata Between Projects with Data Catalog: Google Cloud
  • Building Data Lakes and Lakehouses with Microsoft Fabric: Microsoft
  • PySide2 Project - Data Fetching Application: EDUCBA
  • 70+ JavaScript Challenges - Data Structures and Algorithms: Packt
  • C++: Linear Data Structures and Trees: Codio
  • Analyze and Implement Apache HBase for Big Data Storage: EDUCBA
  • AI Tools, Data, and Experience Design: AI CERTs
  • Mastering Teradata for Data Warehouse & Analytics: Board Infinity
  • Data Science Decisions in Time: Using Causal Information: 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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