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: Preview

    Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Matplotlib, Pandas (Python Package), Data Analysis, Scatter Plots, Data Cleansing, Data Manipulation, Data Integration, Data Transformation, Big Data, Programming Principles, Python Programming

  • Status: Free Trial

    Skills you'll gain: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation

  • Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Data Visualization, Machine Learning, Programming Principles, Data Manipulation, Feature Engineering, Data Cleansing, Supervised Learning, Python Programming, Data Science, Data Processing, NumPy, Pandas (Python Package)

  • Status: New
    Status: Free Trial

    Skills you'll gain: Extract, Transform, Load, Apache Spark, Data Pipelines, PySpark, Apache Hadoop, Data Transformation, MySQL, Data Manipulation, Java Platform Enterprise Edition (J2EE), Data Store, Data Import/Export, Development Environment, Software Installation, System Configuration

  • Status: New
    Status: Free Trial

    Skills you'll gain: ChatGPT, Machine Learning Methods, Data Mining, Python Programming, Machine Learning Algorithms, Supervised Learning, Data Manipulation

  • Skills you'll gain: Data Validation, Data Cleansing, Web Scraping, Data Processing, Data Manipulation, Text Mining, Scripting, Python Programming

  • Skills you'll gain: Exploratory Data Analysis, R Programming, Data Manipulation, Statistical Programming, Data Literacy, Data Analysis, File Management, Integrated Development Environments, Programming Principles, Data Science, Data Structures, Computer Programming

  • Skills you'll gain: Exploratory Data Analysis, Data Analysis, Data Processing, Artificial Intelligence, Predictive Modeling, Data Science, Data Manipulation, Jupyter, Feature Engineering, Machine Learning, Data Visualization, Python Programming

  • Status: Preview

    Johns Hopkins University

    Skills you'll gain: R Programming, Statistical Programming, Statistical Analysis, Data Analysis Software, Debugging, Software Installation, Simulations, Integrated Development Environments, Programming Principles, Data Manipulation, Program Development, Data Import/Export, Performance Tuning

  • Status: Free Trial

    Skills you'll gain: Natural Language Processing, Text Mining, Data Processing, Data Manipulation, Unstructured Data, Markov Model, Python Programming, Machine Learning Methods, Algorithms, Probability & Statistics

  • Skills you'll gain: Applied Machine Learning, Feature Engineering, Data Transformation, Big Data, Google Cloud Platform, Data Manipulation, Predictive Analytics, Machine Learning, Exploratory Data Analysis, SQL

  • Status: New
    Status: Free Trial

    Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation

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