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.
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Explore the Data Manipulation Course Catalog

  • Status: New
    Status: Free Trial

    Skills you'll gain: SQL, Database Design, Database Management, Data Analysis, Database Architecture and Administration, Relational Databases, Data Cleansing, Data Transformation, Data Manipulation, Query Languages, Analytics, GitHub, Git (Version Control System), Performance Tuning, Data Integrity

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Pivot Tables And Charts, Data Manipulation, Data Transformation, Data Processing, Data Warehousing, Data Cleansing, Dimensionality Reduction, Data Quality, Anomaly Detection, Feature Engineering, Sampling (Statistics), Exploratory Data Analysis

  • Status: New
    Status: Free Trial

    Skills you'll gain: Web Scraping, Extract, Transform, Load, Data Manipulation, Data Validation, Data Processing, Data Ethics, Data Import/Export, Data Cleansing, SQL, Data Transformation, JSON, Pandas (Python Package), Generative AI, Relational Databases, Data Integrity, Unstructured Data, Application Programming Interface (API), Text Mining

  • Coursera Project Network

    Skills you'll gain: SQL, Data Manipulation, Relational Databases, Database Design, Databases, Data Integrity, Database Management Systems, Debugging, Data Management

  • Status: New
    Status: Free Trial

    Skills you'll gain: Data Transformation, Power BI, Data-Driven Decision-Making, Data Integration, Data Cleansing, Data Manipulation, Data Modeling, Business Intelligence, Data Visualization Software, Data Quality, Data Import/Export, Data Analysis, Analytics

  • Status: New
    Status: Free Trial

    Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Statistical Hypothesis Testing, Probability Distribution

  • Status: Free Trial

    Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Predictive Analytics, Data Manipulation, Applied Machine Learning, Design Thinking, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Data Science, Data Cleansing, Classification And Regression Tree (CART), Regression Analysis, Tensorflow, Statistical Methods, Deep Learning

  • Status: New
    Status: Free Trial

    Skills you'll gain: Programming Principles, Data Dictionary, Computational Logic, Data Cleansing, Data Structures, Python Programming, Data Manipulation, Debugging

  • 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: Web Scraping, Data Wrangling, Tidyverse (R Package), Data Manipulation, Data Import/Export, Data Cleansing, R Programming, Data Transformation, Statistical Programming, Exploratory Data Analysis, Data Ethics

  • Status: Free

    Skills you'll gain: Relational Databases, API Design, ASP.NET, Object-Relational Mapping, Databases, Query Languages, Back-End Web Development, Application Programming Interface (API), Restful API, SQL, Data Access, Data Manipulation, C# (Programming Language)

  • Skills you'll gain: Ggplot2, Tidyverse (R Package), Data Visualization, Data Analysis, Exploratory Data Analysis, R Programming, Data Visualization Software, Data Manipulation, R (Software)

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  • University of Colorado Boulder
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  • Microsoft