Data Wrangling

Data Wrangling is the process of cleaning, structuring and enriching raw data into a desirable format for better decision making in less time. Coursera's data wrangling catalogue equips you with the skills to transform and map data from one 'raw' data form into another format to allow for more convenient consumption of the data. You'll learn techniques for data preprocessing, data visualization, handling missing or inconsistent data, and converting data into useful formats. This skill is essential for data scientists, business analysts, statisticians and anyone who works with data, and with it you can significantly increase your efficiency and broaden your data analysis capabilities.
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Explore the Data Wrangling Course Catalog

  • Skills you'll gain: Document Management, Google Cloud Platform, Jupyter, Data Capture, Cloud Storage, Data Wrangling, Cloud Platforms, Data Management

  • Status: Free Trial

    Skills you'll gain: Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, Statistics, R Programming, Predictive Modeling, Statistical Analysis, Feature Engineering, Probability & Statistics, Data Wrangling, Statistical Inference, R (Software), Data Cleansing, Public Health

  • Skills you'll gain: Data Wrangling, Unstructured Data, Query Languages, Data Manipulation, Data Import/Export, Big Data, SQL, Database Administration

  • Coursera Project Network

    Skills you'll gain: Data Manipulation, Tidyverse (R Package), Data Wrangling, Data Analysis, R Programming, Exploratory Data Analysis, Statistical Analysis

  • Status: Free Trial

    Skills you'll gain: Data Wrangling, Regression Analysis, Data Manipulation, Dimensionality Reduction, Data Science, Python Programming, Predictive Modeling, Statistical Modeling, Data Analysis, Linear Algebra

  • Status: Free Trial

    Skills you'll gain: Time Series Analysis and Forecasting, Feature Engineering, Inventory Management System, Inventory Management, Demand Planning, Matplotlib, Inventory Control, Predictive Modeling, Forecasting, Exploratory Data Analysis, Predictive Analytics, Data Visualization, Pandas (Python Package), Data Analysis, Statistical Modeling, Data Wrangling, Data Manipulation, Data Transformation, Machine Learning

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Data Visualization, Data Visualization Software, Data Literacy, Storyboarding, Statistical Visualization, Data Storytelling, Data Manipulation, Ggplot2, Statistical Reporting, Data Wrangling, Data Analysis, Data Cleansing, R Programming, Tidyverse (R Package), Data Transformation, Data Import/Export, Rmarkdown, Graphing

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Applied Machine Learning, Data Transformation, Data Wrangling, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Natural Language Processing, Data Science, Quality Assurance, Data Validation, Machine Learning Algorithms, Python Programming

  • Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Data Wrangling, NumPy, Python Programming

  • Skills you'll gain: Data Wrangling, Command-Line Interface, Data Transformation, Data Processing, Data Pipelines, Google Cloud Platform, Data Integration, Data Management, Database Administration

  • Status: Free

    Skills you'll gain: Data Cleansing, Data Transformation, Alteryx, Data Manipulation, Data Import/Export, Data Wrangling, Workflow Management, Scheduling, Automation, Analysis

  • Status: Free Trial

    Skills you'll gain: Data Visualization, Web Scraping, Data-Driven Decision-Making, SQL, Data Visualization Software, Pandas (Python Package), NumPy, Data Analysis, Databases, Data Manipulation, Python Programming, Data Processing, Jupyter, Data Wrangling

What brings you to Coursera today?

Leading partners

  • IBM
  • Johns Hopkins University
  • Google Cloud
  • Microsoft
  • Packt
  • University of Colorado Boulder
  • Duke University
  • Google