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.
95credentials
1online degree
426courses

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Explore the Data Manipulation Course Catalog

  • Status: Free Trial

    Skills you'll gain: Matplotlib, Linear Algebra, NumPy, Scientific Visualization, Machine Learning Algorithms, Pandas (Python Package), Seaborn, Data Science, Machine Learning, Data Analysis, Supervised Learning, Python Programming, Scikit Learn (Machine Learning Library), Jupyter, Data Manipulation, Regression Analysis, Data Structures, Software Installation

  • 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

  • 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

  • Skills you'll gain: Prompt Engineering, Generative AI, Data Visualization, Data Visualization Software, OpenAI, ChatGPT, Large Language Modeling, Matplotlib, Data Analysis, Pandas (Python Package), Python Programming, Data Manipulation, Natural Language Processing

  • Status: Free

    Skills you'll gain: Prompt Engineering, Data Analysis, Generative AI, OpenAI, Exploratory Data Analysis, Data Manipulation, LLM Application, Artificial Intelligence, Python Programming

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Tidyverse (R Package), Data Manipulation, Data Transformation, Data Cleansing, R Programming, Data Processing, Data Analysis, Statistical Programming, Text Mining

  • Coursera Project Network

    Skills you'll gain: Data Cleansing, Data Manipulation, Data Integration, R Programming, Tidyverse (R Package), Data Transformation, Data Management

  • 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)

  • 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: Ggplot2, Data Cleansing, Tidyverse (R Package), Data Wrangling, Data Transformation, Data Visualization, R Programming, Data Manipulation, Data Analysis, Data Management, Pivot Tables And Charts

  • Skills you'll gain: Data Storytelling, Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Exploratory Data Analysis, Business Analysis, Strategic Decision-Making, Data Manipulation, Data Cleansing, Python Programming, Data Import/Export, Promotional Strategies