Data Manipulation

Data Manipulation is a skill involving the transformation and restructuring of data to prepare it for analysis or further processing. Coursera's Data Manipulation catalogue teaches you how to clean, transform, merge, reshape datasets and generate new variables using various tools and programming languages. You'll learn to manage and manipulate data using SQL, Python, R and other data manipulation languages. Understanding data manipulation will enable you to convert raw data into a more useful format, handle large datasets efficiently and support your data analysis or data science projects. You'll also learn to handle potential issues like missing or inconsistent data, enabling you to deliver robust and reliable data-driven insights.
96credentials
2online degrees
429courses

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Explore the Data Manipulation Course Catalog

  • Status: Free Trial

    Northeastern University

    Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Computer Programming, Development Environment, Scripting, Scripting Languages, Debugging, Web Applications, Algorithms, Data Manipulation

  • Status: Preview

    Skills you'll gain: Data Transformation, Data Manipulation, Data Science, Data Analysis, R Programming, Exploratory Data Analysis, Software Installation, Version Control, Command-Line Interface

  • Status: Preview

    Skills you'll gain: Database Management, Data Manipulation

  • Status: New
    Status: Free Trial

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Forecasting, Data Processing, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling, Data Transformation, Data Cleansing

  • Status: Preview

    University of California, Davis

    Skills you'll gain: SQL, Data Manipulation, Data Analysis, Business Analytics, Query Languages, Databases, Relational Databases, Data Management, Data Modeling, Data Integration

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Unsupervised Learning, Anomaly Detection, Data Mining, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Data Analysis, Data Manipulation, Algorithms

  • Skills you'll gain: MySQL Workbench, Database Design, Database Development, Database Systems, Relational Databases, Database Management, SQL, Data Manipulation, Data Analysis, Data Science

  • Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Methods, Statistical Analysis, Advanced Analytics, Statistical Programming, Statistical Software, Statistical Visualization, Data Visualization, Data Manipulation, Correlation Analysis, Predictive Modeling, Descriptive Statistics, Statistical Hypothesis Testing

  • Status: Free

    Skills you'll gain: Feature Engineering, Predictive Modeling, R Programming, Data Analysis, Classification And Regression Tree (CART), Statistical Modeling, Statistical Analysis, Data Cleansing, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Application Deployment, Data Transformation, Machine Learning Methods, Interactive Data Visualization, Machine Learning

  • Status: Preview

    Skills you'll gain: Unsupervised Learning, Deep Learning, Anomaly Detection, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Data Validation, Random Forest Algorithm, Data Import/Export, Data Manipulation, Feature Engineering, Statistical Methods

  • Coursera Project Network

    Skills you'll gain: SQL, PostgreSQL, Database Management, Data Manipulation, Database Systems

  • Skills you'll gain: Data Cleansing, Data Manipulation, Advanced Analytics, Applied Machine Learning, Data Wrangling, Fraud detection, Data Transformation, Predictive Modeling, Data Processing, Machine Learning, Machine Learning Algorithms, Sampling (Statistics), Data Mining, Data Integration, Database Management, Workflow Management, Complex Problem Solving