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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.


More to explore:

Popular Exploratory Data Analysis Courses and Certifications


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    EDUCBA

    PySide2 Project - Data Fetching Application

    Skills you'll gain: Application Development, Event-Driven Programming, Application Design, User Interface (UI), UI Components, Program Development, Data Import/Export, Development Environment, Data Integration, File I/O

    4.8
    Rating, 4.8 out of 5 stars
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    18 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Machine Learning and Data Analytics Part 2

    Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Deep Learning, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

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    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

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    Pearson

    Data Science Fundamentals Part 2: Unit 3

    Skills you'll gain: Predictive Modeling, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Machine Learning

    Beginner · Course · 1 - 4 Weeks

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    University of Illinois Urbana-Champaign

    Data Analytics Foundations for Accountancy II

    Skills you'll gain: Anomaly Detection, Feature Engineering, Data Ethics, Machine Learning Algorithms, Classification Algorithms, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Supervised Learning, Unsupervised Learning, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Decision Tree Learning, Data Mining, Exploratory Data Analysis, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    11 reviews

    Beginner · Course · 1 - 3 Months

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    Packt

    Advanced Navigation and Data Handling

    Skills you'll gain: Apple iOS, Swift Programming, Mobile Development, UI Components, Animations, Apple Xcode, Data Storage, Cloud Storage, Responsive Web Design, User Interface (UI), Human Computer Interaction, Data Modeling

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Real-time data visualization dashboard using Node-red

    Skills you'll gain: Dashboard, Data Preprocessing, Data Visualization Software, Real Time Data, Node.JS, Data Analysis, Application Programming Interface (API), Web Development Tools, JSON, Javascript

    4.3
    Rating, 4.3 out of 5 stars
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    18 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Coursera

    Crash Course on Interactive Data Visualization with Plotly

    Skills you'll gain: Plotly, Histogram, Interactive Data Visualization, Scatter Plots, Plot (Graphics), Data Visualization, Data Analysis, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
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    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    EDUCBA

    Apache Spark: Apply & Evaluate Big Data Workflows

    Skills you'll gain: Apache Spark, PySpark, Data Persistence, Big Data, Data Processing, Distributed Computing, Scala Programming, JSON, Data Transformation, Performance Tuning

    Mixed · Course · 1 - 4 Weeks

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    University of Pennsylvania

    Inheritance and Data Structures in Java

    Skills you'll gain: File I/O, Java Programming, Eclipse (Software), Java, Debugging, Integrated Development Environments, Object Oriented Programming (OOP), Data Structures, Development Environment, Software Design, Programming Principles, Problem Solving

    4.6
    Rating, 4.6 out of 5 stars
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    106 reviews

    Beginner · Course · 1 - 4 Weeks

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    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
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    733 reviews

    Beginner · Course · 1 - 3 Months

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    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment

    Intermediate · Course · 1 - 3 Months

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

  • PySide2 Project - Data Fetching Application: EDUCBA
  • Machine Learning and Data Analytics Part 2: Northeastern University
  • 70+ JavaScript Challenges - Data Structures and Algorithms: Packt
  • Data Science Fundamentals Part 2: Unit 3: Pearson
  • Data Analytics Foundations for Accountancy II: University of Illinois Urbana-Champaign
  • Advanced Navigation and Data Handling: Packt
  • Real-time data visualization dashboard using Node-red: Coursera
  • Crash Course on Interactive Data Visualization with Plotly: Coursera
  • Apache Spark: Apply & Evaluate Big Data Workflows: EDUCBA
  • Inheritance and Data Structures in Java: University of Pennsylvania

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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