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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


  • G

    Google Cloud

    Automating your BigQuery Data Pipeline with Cloud Dataprep

    Skills you'll gain: Data Pipelines, Data Import/Export, Data Processing, Data Manipulation, SQL, Data Transformation, Google Cloud Platform, Big Data, Data Management, Cloud Storage

    Intermediate · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Data Storytelling: Create Insights with Power BI & Tableau

    Skills you'll gain: Data Storytelling, Dashboard, Data Presentation, Power BI, Data Literacy, Strategic Decision-Making, Interactive Data Visualization, Tableau Software, Storytelling, Data-Driven Decision-Making, Business Intelligence, User Feedback, Data Visualization, Presentations, Constructive Feedback, Technical Communication, Analytics, Customer Insights, Data Structures

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    C

    Coursera

    Zero-Shot & Few-Shot Learning: Master AI with Minimal Data

    Skills you'll gain: Prompt Engineering, Embeddings, Transfer Learning, Large Language Modeling, Small Data, Fraud detection, Applied Machine Learning, Model Evaluation, Machine Learning, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Designing Data Storage and Integration Solutions in Azure

    Skills you'll gain: Data Integration, Microsoft Azure, Cloud Storage, Disaster Recovery, Data Architecture, Database Design, Data Infrastructure, Data Storage, Cloud Security, NoSQL, Encryption, Relational Databases, Scalability, Performance Tuning, Database Management, Identity and Access Management

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to Data Engineering on Google Cloud - Español

    Skills you'll gain: Metadata Management, Data Pipelines, Data Processing, Google Cloud Platform, Data Migration, Cloud Storage, Apache Airflow, Data Lakes, Data Storage, Big Data, Data Infrastructure, Extract, Transform, Load, Apache Spark, IT Automation, Data Management, Data Transformation, Serverless Computing, SQL

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    G

    Google Cloud

    Protecting Sensitive Data in Gen AI Model Responses

    Skills you'll gain: Data Loss Prevention, AI Security, Gemini, Google Gemini, Generative AI, Personally Identifiable Information, Cloud API, Jupyter, Google Cloud Platform, Cloud Security, Scripting Languages

    Intermediate · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
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    M

    Microsoft

    First Steps in R: Importing and Exporting Data

    Skills you'll gain: Data Import/Export, Microsoft Visual Studio, Microsoft Excel, R Programming, Data Processing, Data Cleansing

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Online Data Migration to Cloud Spanner using Striim

    Skills you'll gain: Data Migration, MySQL, Google Cloud Platform, Database Management, Data Pipelines, Data Storage Technologies, Operational Databases, Cloud Management, Data Management

    Intermediate · Project · Less Than 2 Hours

  • G

    Google Cloud

    Analytics as a Service for Data Sharing Partners

    Skills you'll gain: Dashboard, Data Sharing, Cloud Computing, Big Data, Data Access, Google Cloud Platform, Data Visualization, Data Management

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Web Applications and Command-Line Tools for Data Engineering

    Skills you'll gain: Jupyter, Microservices, AWS SageMaker, Cloud Engineering, Command-Line Interface, Data Pipelines, CI/CD, Package and Software Management, Containerization, Applied Machine Learning, Python Programming, Test Automation, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    41 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Illinois at Urbana-Champaign

    Master of Computer Science (feat. Data Science Track)

    Earn a degree

    Degree · 1 - 4 Years

  • Status: Preview
    Preview
    S

    SkillUp

    Prep for Microsoft Azure Data Engineer Associate Cert DP-203

    Skills you'll gain: Azure Synapse Analytics, Data Security, Databricks, Data Store, Data Quality, Microsoft Azure, Data Storage Technologies, Data Storage, Data Transformation, Database Management, Data Processing, Data Cleansing, Query Languages, Performance Tuning, Data Integration, Extract, Transform, Load, Data Pipelines, Apache Spark, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Automating your BigQuery Data Pipeline with Cloud Dataprep: Google Cloud
  • Data Storytelling: Create Insights with Power BI & Tableau: Coursera
  • Zero-Shot & Few-Shot Learning: Master AI with Minimal Data: Coursera
  • Designing Data Storage and Integration Solutions in Azure: Packt
  • Introduction to Data Engineering on Google Cloud - Español: Google Cloud
  • Protecting Sensitive Data in Gen AI Model Responses: Google Cloud
  • First Steps in R: Importing and Exporting Data: Microsoft
  • Online Data Migration to Cloud Spanner using Striim: Google Cloud
  • Analytics as a Service for Data Sharing Partners: Google Cloud
  • Web Applications and Command-Line Tools for Data Engineering: Duke 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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