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

    Skills you'll gain: Exploratory Data Analysis, Statistical Process Controls, Six Sigma Methodology, Lean Methodologies, Statistical Hypothesis Testing, Process Capability, Statistical Analysis, Data Analysis, Continuous Improvement Process, Project Management, Statistics, Work Breakdown Structure, Lean Six Sigma, Operational Excellence, Process Analysis, Quality Improvement, Data Collection, Process Improvement, Stakeholder Management, Quality Management

  • Status: Free Trial

    Universidad de los Andes

    Skills you'll gain: Data Integration, Data Quality, Exploratory Data Analysis, Data Transformation, Data Cleansing, Data Manipulation, Jupyter, Data Compilation, Data Visualization, Data Analysis, Data-Driven Decision-Making, Data Science, Pandas (Python Package), Predictive Modeling, Python Programming

  • Status: Free Trial

    Skills you'll gain: Data Manipulation, Data Access, Data Import/Export, SAS (Software), Microsoft Excel, Data Analysis, Statistical Programming, Exploratory Data Analysis, Descriptive Statistics, Data Validation, Debugging

  • Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Data Analysis, Statistical Methods, R Programming, Statistical Analysis, Plot (Graphics), Predictive Modeling, Ggplot2

  • Status: Free Trial

    Skills you'll gain: Looker (Software), Pivot Tables And Charts, Dashboard, Data Modeling, Exploratory Data Analysis, Data Analysis, Query Languages

  • Status: Preview

    Skills you'll gain: Exploratory Data Analysis, Statistical Visualization, Data Visualization Software, R Programming, Ggplot2, Statistical Methods, Data Analysis, Unsupervised Learning, Spatial Data Analysis, Dimensionality Reduction, Graphical Tools, Color Theory, Analytics

  • Skills you'll gain: Exploratory Data Analysis, Data Analysis, Statistical Analysis, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Predictive Modeling, Matplotlib, Data Import/Export, Pandas (Python Package), Applied Machine Learning, Data Visualization Software, NumPy, Data Manipulation, Machine Learning

  • Skills you'll gain: Exploratory Data Analysis, Deep Learning, Plot (Graphics), Artificial Neural Networks, Matplotlib, Data Cleansing, Data Analysis, Tensorflow, Natural Language Processing, Data Processing, Data Manipulation, Python Programming, Machine Learning

  • Status: Free Trial

    Corporate Finance Institute

    Skills you'll gain: Star Schema, Data Modeling, Tableau Software, Business Intelligence, Extract, Transform, Load, Dashboard, Performance Tuning, Technical Analysis, Database Design, Data Visualization Software, Data Warehousing, Market Data, Data Transformation, Data Presentation, Investment Banking, Exploratory Data Analysis, Tree Maps, Interactive Data Visualization, Data Storytelling, Data Visualization

  • Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Social Sciences, Socioeconomics, Machine Learning Algorithms, Scatter Plots, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis, Python Programming

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Social Network Analysis, Network Analysis, Data Analysis, Exploratory Data Analysis, Analytics, Statistical Analysis, Social Sciences, Behavioral Economics, Research, Data Collection, Sociology, Data Transformation, Persuasive Communication, Application Programming Interface (API), Media and Communications, Substance Abuse, Psychology

  • Status: Free Trial

    University of Minnesota

    Skills you'll gain: Spreadsheet Software, Applied Machine Learning, Exploratory Data Analysis, Analysis, System Design and Implementation, Solution Design, Machine Learning Algorithms, Algorithms

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