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    • Data Manipulation

    Data Manipulation Courses Online

    Master data manipulation techniques for transforming data. Learn to clean, merge, and reshape datasets using tools like SQL and Python.

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    Explore the Data Manipulation Course Catalog

    • C

      Coursera Project Network

      Data Manipulation with dplyr in R

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Generative AI, Data Wrangling, Unit Testing, Supervised Learning, Feature Engineering, ChatGPT, Keras (Neural Network Library), Unsupervised Learning, Natural Language Processing, Data Cleansing, Jupyter, Data Analysis, Deep Learning, Data Manipulation, PyTorch (Machine Learning Library), Data Transformation, Artificial Intelligence, Data Import/Export, Data Ethics, Exploratory Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      81K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Visualization, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Knitr

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Visualization, Statistical Programming, Ggplot2, Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Analysis, Data Import/Export, General Science and Research, Data Sharing, Statistical Reporting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: [object Object]
      AI skills
      I

      IBM

      IBM Data Analyst

      Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Presentation, Data Wrangling, Data Visualization, SQL, Generative AI, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Big Data, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, Pandas (Python Package), Excel Formulas, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      89K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • S

      SAS

      Doing More with SAS Programming

      Skills you'll gain: SAS (Software), Data Manipulation, Data Transformation, Data Processing, Data Integration, Statistical Programming, Data Analysis, Data Presentation, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      937 reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      G

      Google

      Google Advanced Data Analytics

      Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Sampling (Statistics), Data Ethics, Data Visualization Software, Data Presentation, Statistical Hypothesis Testing, Regression Analysis, Feature Engineering, Data Transformation, Data Visualization, Probability & Statistics, Tableau Software, Data Manipulation, Advanced Analytics, Data Cleansing, Object Oriented Programming (OOP), Applied Machine Learning, Statistical Analysis, Jupyter

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.7K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Placeholder
      G

      Google

      Prepare Data for Exploration

      Skills you'll gain: Data Ethics, Data Analysis, Data Security, Google Sheets, Databases, Data Storage, Data Quality, Data Integrity, Data Management, Data Collection, Data Manipulation, Relational Databases, SQL, Metadata Management, Unstructured Data

      4.8
      Rating, 4.8 out of 5 stars
      ·
      22K reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      U

      University of Michigan

      Python for Everybody

      Skills you'll gain: Web Scraping, Data Processing, Relational Databases, JSON, Database Design, SQL, Network Protocols, Databases, Web Services, Restful API, Programming Principles, Data Cleansing, Data Structures, Data Storytelling, Data Collection, Computer Programming, Python Programming, Data Manipulation, Development Environment, Computational Thinking

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      277K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      G

      Google

      Process Data from Dirty to Clean

      Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Validation, Google Sheets, Data Analysis, Data Manipulation, SQL, Data Transformation, Spreadsheet Software, Microsoft Excel

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      I

      IBM

      Data Science Methodology

      Skills you'll gain: Jupyter, Data Modeling, Data Science, Application Deployment, Data-Driven Decision-Making, User Feedback, Data Mining, Data Cleansing, Business Research, Data Manipulation, Business Analysis, Data Processing, Predictive Modeling, Continuous Improvement Process

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      J

      Johns Hopkins University

      The Data Scientist’s Toolbox

      Skills you'll gain: Rmarkdown, Version Control, Data Science, General Science and Research, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      34K reviews

      Mixed · Course · 1 - 4 Weeks

    Data Manipulation learners also search

    Data
    R
    Data Science
    Data Analytics
    Data Analysis
    R Programming
    Applied Data Science
    Beginner Data Science
    1234…582

    In summary, here are 10 of our most popular data manipulation courses

    • Data Manipulation with dplyr in R: Coursera Project Network
    • IBM Generative AI Engineering: IBM
    • Data Science: Johns Hopkins University
    • Data Science: Foundations using R: Johns Hopkins University
    • IBM Data Analyst: IBM
    • Doing More with SAS Programming: SAS
    • Google Advanced Data Analytics: Google
    • Prepare Data for Exploration: Google
    • Python for Everybody: University of Michigan
    • Process Data from Dirty to Clean: Google

    Frequently Asked Questions about Data Manipulation

    Data manipulation is the part of data science that organizes or changes data into formatting that's easier to read and use for analytical purposes. It may involve advanced techniques and tools, such as relational algebra or SQL to manage the data. It may also require less advanced skills, such as alphabetization or spreadsheets to compile the data for the end user. This type of data analysis makes it possible for a data scientist to pull pertinent information for decision-making purposes out of a large, otherwise disorganized mass of data.‎

    If you have a passion for using computers and solving complex problems and puzzles, learning data manipulation may lead to a variety of opportunities as a data scientist. These opportunities include becoming a data analyst, a data engineer, or a machine learning engineer. Tasks you might encounter during a typical workday in these fields include cluster analysis and creating a pivot table or a lookup table. If you want a very hands-on career that puts you in control of finding the most essential items in a company's data, learning data manipulation will help you get started in the field.‎

    Taking online data manipulation courses on Coursera can help you advance in your data science career by improving the skills and tools you have at your disposal, making the information you're able to provide for your employer more accurate and valuable. If you aren't already working in the data science field, taking online courses in data manipulation can serve as a place to begin your industry-specific data analysis education. Courses are available to match your current knowledge base, so whether you're a beginner learning about data manipulation and data science for the first time, or you're approaching courses from an intermediate or advanced level, you can jump in and start learning at your convenience.‎

    You need to have strong math skills and at least some computer skills to begin learning data manipulation. Solid reading and critical thinking skills will also help you when you delve into these courses. The data manipulation courses are set up for beginners in the data science field, providing knowledge that's needed to build on as you advance in the data analysis field. Some specific skills you can expect to develop while learning about data manipulation at your own include data visualization, SQL, and Python.‎

    Online Data Manipulation courses offer a convenient and flexible way to enhance your knowledge or learn new Data Manipulation skills. Choose from a wide range of Data Manipulation courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Data Manipulation, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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