Exploratory Data Analysis

Exploratory Data Analysis (EDA) is a statistical approach that involves visualizing and understanding the patterns, trends, and relationships within data prior to formal modeling or hypothesis testing. Coursera's EDA catalogue helps you develop a comprehensive understanding of how to summarize, visualize, and interpret various types of data. You'll learn how to use graphical and quantitative methods to gain insights into data, uncover underlying structure, extract important variables, identify outliers and anomalies, and test underlying assumptions. You'll refine your analytical thinking skills and learn to effectively communicate results through informative visualizations, preparing you for roles in data science, statistics, and analytics.
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Explore the Exploratory Data Analysis Course Catalog

  • Status: Free Trial

    Universidad Nacional Autónoma de México

    Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Data Visualization, Data Analysis, Data Science, Python Programming, Software Installation, Data Manipulation, Scripting, Package and Software Management, Development Environment

  • Status: Free Trial

    Skills you'll gain: Plotly, Exploratory Data Analysis, Predictive Modeling, Data Science, Data-Driven Decision-Making, Data Presentation, Data Analysis, Pandas (Python Package), Web Scraping, Statistical Modeling, Data Wrangling, Machine Learning Methods, Data Collection, GitHub

  • Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Python Programming

  • Status: New
    Status: Preview

    Skills you'll gain: Exploratory Data Analysis, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, Business Analytics, Data Analysis, Statistics, Statistical Methods, Feature Engineering, Statistical Inference, Data Transformation

  • Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Cleansing, Descriptive Statistics, Python Programming

  • Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, PySpark, Data Processing, Data Cleansing, Data Transformation, Apache Spark, Data-Driven Decision-Making, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Application Deployment, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Python Programming, Descriptive Statistics, Statistical Modeling, Design Thinking

  • Skills you'll gain: Exploratory Data Analysis, Scatter Plots, Data Analysis, Correlation Analysis, Box Plots, Pandas (Python Package), Data Visualization, Histogram, Statistical Analysis, Python Programming, Software Installation

  • Skills you'll gain: Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Statistics, Infectious Diseases, Python Programming

  • Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Operations Research, NumPy, Data Manipulation, Supply Chain, Data Transformation, Pandas (Python Package), Data Analysis, Data Cleansing, Data Science, Programming Principles, Python Programming, Applied Machine Learning, Plot (Graphics), Computer Programming, Data Structures

  • Skills you'll gain: Prompt Engineering, Generative AI, Exploratory Data Analysis, OpenAI, ChatGPT, Data Analysis, Data-Driven Decision-Making, Trend Analysis, Sales Strategy, E-Commerce, Data Manipulation, Python Programming

  • Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Exploratory Data Analysis, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Python Programming, Supervised Learning, Algorithms