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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

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      GPU Programming

      Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, C and C++, Scalability, Deep Learning, Software Development, Machine Learning Methods, Performance Tuning, Linear Algebra, Distributed Computing, System Programming, Computer Graphics, Computer Hardware, Computer Vision, Numerical Analysis, Computer Architecture, Data Processing, Data Structures, Performance Testing

      Build toward a degree

      2.7
      Rating, 2.7 out of 5 stars
      ·
      151 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Data Analytics

      Skills you'll gain: Data Presentation, Data Storytelling, Presentations, Data Cleansing, Data Visualization, Rmarkdown, Data-Driven Decision-Making, Data Validation, Data Ethics, Analytical Skills, Dashboard, Spreadsheet Software, Ggplot2, SQL, Data Visualization Software, Data Literacy, Data Collection, Sampling (Statistics), Data Analysis, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      314 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • C

      Coursera Project Network

      Data Analysis Using Pyspark

      Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Visualization, Data Analysis, Data Manipulation, Query Languages, Google Cloud Platform

      4.5
      Rating, 4.5 out of 5 stars
      ·
      303 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      SQL for Data Science Capstone Project

      Skills you'll gain: Presentations, SQL, Descriptive Statistics, Data Storytelling, Data Analysis, Peer Review, Exploratory Data Analysis, Statistical Analysis, Data Modeling, Performance Metric, Business Analytics, Text Mining, Data Science, Target Audience, Data Manipulation, Proposal Development

      4.2
      Rating, 4.2 out of 5 stars
      ·
      236 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      Django Web Framework

      Skills you'll gain: Django (Web Framework), Web Development, Web Servers, Web Applications, Data Modeling, Back-End Web Development, MySQL, Application Security, Database Development, Application Frameworks, Database Management, Hypertext Markup Language (HTML)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      612 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to NoSQL Databases

      Skills you'll gain: NoSQL, MongoDB, Databases, Apache Cassandra, Distributed Computing, Database Management, Database Architecture and Administration, IBM Cloud, Query Languages, Data Modeling, JSON, Scalability, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      350 reviews

      Beginner · Course · 1 - 3 Months

    • P

      Pohang University of Science and Technology(POSTECH)

      Introduction and Programming with IoT Boards

      Skills you'll gain: Internet Of Things, Wireless Networks, General Networking, Emerging Technologies, Electronic Hardware, Embedded Systems, Information Technology Architecture, Infrastructure Architecture, Software Architecture, Computer Hardware, Computer Programming Tools, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 3 Months

    • T

      The University of Tokyo

      Interactive Computer Graphics

      Skills you'll gain: Visualization (Computer Graphics), Interactive Design, Computer Graphics, Computer Graphic Techniques, Human Computer Interaction, Animation and Game Design, User Interface (UI), Design, Technical Design, Algorithms, Simulations

      4.1
      Rating, 4.1 out of 5 stars
      ·
      306 reviews

      Intermediate · Course · 1 - 3 Months

    • M

      Macquarie University

      Habilidades de Excel para el negocio: Conceptos básicos

      Skills you'll gain: Data Visualization, Microsoft Excel, Spreadsheet Software, Excel Formulas, Data Management, Data Entry, Productivity Software, File Management, Editing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      865 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Statistics for Genomic Data Science

      Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistical Modeling, R Programming, Probability & Statistics, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Data Processing

      4.2
      Rating, 4.2 out of 5 stars
      ·
      373 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Virginia

      Product Analytics and AI

      Skills you'll gain: Customer Analysis, Analytics, Business Analytics, Usability Testing, Product Management, Customer Insights, A/B Testing, Product Development, Agile Methodology, User Experience, Advanced Analytics, Data-Driven Decision-Making, Data Science, Product Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      483 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      ESSEC Business School

      The Fundamentals of Revenue Management: The Cornerstone of Revenue Strategy

      Skills you'll gain: Revenue Management, Forecasting, Budgeting, Hospitality, Financial Forecasting, Hotel Operations, Strategic Marketing, Target Market, Market Dynamics, Consumer Behaviour, Competitive Analysis, Data-Driven Decision-Making

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Mixed · Course · 1 - 4 Weeks

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

    • GPU Programming: Johns Hopkins University
    • Google Data Analytics: Google
    • Data Analysis Using Pyspark: Coursera Project Network
    • SQL for Data Science Capstone Project: University of California, Davis
    • Django Web Framework : Meta
    • Introduction to NoSQL Databases: IBM
    • Introduction and Programming with IoT Boards: Pohang University of Science and Technology(POSTECH)
    • Interactive Computer Graphics: The University of Tokyo
    • Habilidades de Excel para el negocio: Conceptos básicos: Macquarie University
    • Statistics for Genomic Data Science: Johns Hopkins University

    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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