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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


  • Status: Free Trial
    Free Trial
    M

    Meta

    Working with Data in Android

    Skills you'll gain: Restful API, Android Development, Kotlin, API Design, Android Studio, Mobile Development, Database Management, Data Persistence, Databases, JSON, Web Applications, SQL

    4.7
    Rating, 4.7 out of 5 stars
    ·
    59 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Apply Sqoop for Efficient Hadoop Data Integration

    Skills you'll gain: Apache Hadoop, Extract, Transform, Load, Data Import/Export, Data Pipelines, Data Integration, Database Management, Data Architecture, Software Installation, Performance Tuning, Command-Line Interface

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Design Impactful Dashboards: Visualize and Evaluate Data

    Skills you'll gain: Dashboard, Data Synthesis, Usability Testing, Data Integration, Usability, Data Presentation, Market Research, Interactive Data Visualization, Looker (Software), User Experience Design, Data Visualization, Product Improvement, Tableau Software, Peer Review, User Centered Design, Grafana, Driving engagement, Graphic and Visual Design

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    GIS Data Acquisition and Map Design

    Skills you'll gain: Geographic Information Systems, Geospatial Mapping, Data Mapping, Spatial Data Analysis, Data Visualization, Metadata Management, Quantitative Research, Spatial Analysis, Typography, Data Manipulation, Data Modeling, Design Elements And Principles, Data Import/Export

    4.9
    Rating, 4.9 out of 5 stars
    ·
    725 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Joining Data in R using dplyr

    Skills you'll gain: Data Cleansing, Data Manipulation, Data Integration, R Programming, Data Preprocessing, Tidyverse (R Package), Data Management

    4.2
    Rating, 4.2 out of 5 stars
    ·
    6 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    PySpark Foundations: Process, analyze, and summarize data

    Skills you'll gain: PySpark, Apache Spark, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Big Data, Jupyter, Pandas (Python Package), People Analytics

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    PySpark: Apply & Analyze Advanced Data Processing

    Skills you'll gain: PySpark, Customer Analysis, Big Data, Data Processing, Advanced Analytics, Statistical Modeling, Text Mining, Customer Insights, Risk Modeling, Data Transformation, Unstructured Data, Simulation and Simulation Software, Data Manipulation, Image Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Modernizing Data Lakes & Data Warehouses with GC - Italiano

    Skills you'll gain: Data Lakes, Data Warehousing, Data Pipelines, Data Infrastructure, Data Architecture, Cloud Engineering, Cloud Storage, Google Cloud Platform, Data Storage, Big Data, Data Storage Technologies, Data Processing, Database Design, SQL

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineer, Big Data and ML on Google Cloud em Português

    Skills you'll gain: Model Deployment, Google Cloud Platform, Real Time Data, Dataflow, Data Warehousing, Data Pipelines, Data Preprocessing, Big Data, Data Governance, Feature Engineering, Data Lakes, Dashboard, Apache Spark, Metadata Management, Extract, Transform, Load, Data Management, Applied Machine Learning, PySpark, Data Processing, Tensorflow

    4.7
    Rating, 4.7 out of 5 stars
    ·
    125 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Virtual Machines, Data Pipelines

    4.3
    Rating, 4.3 out of 5 stars
    ·
    178 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Data Privacy, Ethics, and Responsible AI

    Skills you'll gain: Information Privacy, General Data Protection Regulation (GDPR), AI Security, Responsible AI, Personally Identifiable Information, Legal Technology, Data Security, Data Ethics, Large Language Modeling, Business Ethics, Data Governance, Prompt Engineering, Cyber Security Strategy, Data Loss Prevention, Ethical Standards And Conduct, Generative AI, Regulatory Compliance, Cybersecurity, Risk Analysis, Governance

    4.5
    Rating, 4.5 out of 5 stars
    ·
    111 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Expressway to Data Science: R Programming and Tidyverse

    Skills you'll gain: Tidyverse (R Package), Rmarkdown, R Programming, Ggplot2, Data Import/Export, Data Visualization, Data Manipulation, Data Visualization Software, Data Analysis, Data Science, Data Storytelling, Statistical Analysis, Relational Databases, Data Cleansing, Data Transformation, Statistical Programming, Data Integration, Software Installation, Programming Principles, Communication

    4.1
    Rating, 4.1 out of 5 stars
    ·
    56 reviews

    Beginner · Specialization · 1 - 3 Months

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1…114115116…834

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

  • Working with Data in Android: Meta
  • Apply Sqoop for Efficient Hadoop Data Integration: EDUCBA
  • Design Impactful Dashboards: Visualize and Evaluate Data: Coursera
  • GIS Data Acquisition and Map Design: University of Toronto
  • Joining Data in R using dplyr: Coursera
  • PySpark Foundations: Process, analyze, and summarize data: Coursera
  • PySpark: Apply & Analyze Advanced Data Processing: EDUCBA
  • Modernizing Data Lakes & Data Warehouses with GC - Italiano: Google Cloud
  • Data Engineer, Big Data and ML on Google Cloud em Português: Google Cloud
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft

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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