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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


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    Coursera

    Big Data Technologies and Applications

    Skills you'll gain: Big Data, Data Processing, Data Analysis, Analytics, Data Lakes, Data Warehousing, Apache Spark, Data Storage Technologies, Apache Hadoop, Real Time Data, Distributed Computing

    4.6
    Rating, 4.6 out of 5 stars
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    10 reviews

    Beginner · Course · 1 - 4 Weeks

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    Simplilearn

    Data Analytics Course with Generative AI

    Skills you'll gain: Exploratory Data Analysis, Generative AI, Analytics, Data Analysis, Extract, Transform, Load, Data Integration, Data Visualization, Predictive Analytics, Data-Driven Decision-Making, Predictive Modeling, Forecasting, Data Transformation, Descriptive Analytics, Data Modeling, Risk Analysis

    4.3
    Rating, 4.3 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Applied Python Data Engineering

    Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Snowflake Schema, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, Interactive Data Visualization, Plotly, Data Pipelines, Matplotlib, Kubernetes, Dashboard, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming

    3.8
    Rating, 3.8 out of 5 stars
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    109 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free
    Free
    A

    Amazon Web Services

    Data Engineering on AWS - Foundations

    Skills you'll gain: Infrastructure as Code (IaC), Cloud Engineering, Serverless Computing, CI/CD, Data Infrastructure, Amazon Web Services, Data Architecture, AWS Identity and Access Management (IAM), AWS CloudFormation, Infrastructure Architecture, Security Controls, Cloud Applications, Amazon CloudWatch, Terraform

    4.6
    Rating, 4.6 out of 5 stars
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    216 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Whizlabs

    Power BI: Data Modeling and Data Analysis

    Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Modeling, Star Schema, Data Warehousing, Data Security, Data Visualization Software, Pivot Tables And Charts, Performance Tuning, Business Intelligence, Excel Formulas, Role-Based Access Control (RBAC)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    Edureka

    Fundamentals of Data Governance

    Skills you'll gain: Data Governance, Governance, Data Management, Compliance Management, Data Architecture, General Data Protection Regulation (GDPR), Data Strategy, Regulatory Compliance, Data Security, Cloud Security, Metadata Management, Information Management, Regulatory Requirements, Data Integrity, Data Quality, Data Access, Cloud Computing, Risk Management

    4.2
    Rating, 4.2 out of 5 stars
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    52 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Databases and SQL for Data Science with Python

    Skills you'll gain: SQL, Relational Databases, Stored Procedure, Databases, Query Languages, Jupyter, Data Manipulation, Data Analysis, Pandas (Python Package), Transaction Processing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    22K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Prepare Data for Exploration

    Skills you'll gain: Data Ethics, Data Analysis, Data Literacy, Data Security, Google Sheets, Databases, Data Storage, Data Quality, Data Management, Data Collection, SQL, Data Import/Export, Metadata Management, Unstructured Data

    4.8
    Rating, 4.8 out of 5 stars
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    23K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Python for Data Science

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Visualization, Statistical Analysis, Probability & Statistics, Statistics, Pandas (Python Package), Data Analysis, Jupyter, Data Processing, Data Manipulation, Data Science, Data Transformation, Applied Machine Learning, Data Cleansing, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
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    92 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Python for Data Science, AI & Development

    Skills you'll gain: Data Import/Export, Programming Principles, Web Scraping, Python Programming, Jupyter, Data Structures, Data Processing, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Scripting, Application Programming Interface (API), Automation, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    43K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    IBM

    IBM Data Analytics with Excel and R

    Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Data Visualization Software, Database Design, Shiny (R Package), Dashboard, Data Wrangling, Exploratory Data Analysis, Relational Databases, Big Data, Microsoft Excel, IBM Cognos Analytics, Ggplot2, Data Analysis, Analytical Skills, Excel Formulas, Data Manipulation, Web Scraping

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    31K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Tools for Data Science

    Skills you'll gain: Jupyter, Computer Programming Tools, Data Visualization Software, Data Science, GitHub, R (Software), Big Data, R Programming, Statistical Programming, Machine Learning, Cloud Computing, Git (Version Control System), IBM Cloud, Development Environment, Other Programming Languages, Version Control, Query Languages, Python Programming, Open Source Technology

    4.5
    Rating, 4.5 out of 5 stars
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    30K reviews

    Beginner · Course · 1 - 3 Months

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

  • Big Data Technologies and Applications: Coursera
  • Data Analytics Course with Generative AI: Simplilearn
  • Applied Python Data Engineering: Duke University
  • Data Engineering on AWS - Foundations: Amazon Web Services
  • Power BI: Data Modeling and Data Analysis: Whizlabs
  • Fundamentals of Data Governance: Edureka
  • Databases and SQL for Data Science with Python: IBM
  • Prepare Data for Exploration: Google
  • Python for Data Science: Fractal Analytics
  • Python for Data Science, AI & Development: 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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