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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: New
      New
      G

      Google Cloud

      Pengantar Keamanan di Dunia AI

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Introducción al análisis de datos en Google Cloud

      Skills you'll gain:

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini for end-to-end SDLC - 한국어

      Skills you'll gain: Software Development Life Cycle, Google Cloud Platform, Development Testing, Application Lifecycle Management, Web Applications, CI/CD, Application Development, Cloud Development, Software Development, Test Case, Generative AI, Query Languages, Debugging, Data Access

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Monitoring, Security, and High Availability in Vault

      Skills you'll gain: System Monitoring, Kubernetes, Continuous Monitoring, Application Security, Hardening, Key Management, Disaster Recovery, Encryption, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • S

      SkillUp EdTech

      IT Systems Design and Analysis 

      Skills you'll gain:

      Intermediate · Course

    • Status: New
      New
      P

      Packt

      Finalizing, Rendering & Advanced Lighting

      Skills you'll gain: 3D Modeling, Conceptual Design, Design, Computer Graphics, Visualization (Computer Graphics), Animations

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      What's New in .NET and C#

      Skills you'll gain: Microsoft Development Tools, Cross Platform Development, .NET Framework, C# (Programming Language), Software Development Tools, Microsoft Visual Studio, Performance Tuning, Application Security, Debugging

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      System Analyst Capstone Project 

      Skills you'll gain:

      Advanced · Course

    • G

      Google Cloud

      Google Cloud Customer Care Fundamentals - 한국어

      Skills you'll gain: Product Support, Technical Support and Services, Technical Support, Google Cloud Platform, Service Level, Issue Tracking, Problem Management, Technical Communication, File Management, Personally Identifiable Information

      Beginner · Course · 1 - 4 Weeks

    • O

      O.P. Jindal Global University

      MBA Business Analytics

      Skills you'll gain: Data Storytelling, Operations Management, Design Thinking, Active Listening, Data Visualization, Environmental Social And Corporate Governance (ESG), Working Capital, Database Management, Sampling (Statistics), Project Estimation, Financial Statements, Business Analytics, Financial Accounting, Predictive Analytics, Big Data, Employee Performance Management, Marketing, Marketing Management, Business Economics, Emerging Technologies

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Illinois at Urbana-Champaign

      Master of Computer Science (feat. Data Science Track)

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Modelos Analíticos para la Toma de Decisiones de Negocio

      Skills you'll gain: Descriptive Analytics, Business Analytics, Statistical Reporting, Data Visualization, Data Mining, Dimensionality Reduction, Data Analysis, R Programming, Scientific Visualization, Statistical Modeling, Big Data, Data-Driven Decision-Making, Data Visualization Software, Predictive Modeling, Predictive Analytics, Data Modeling, Analytics, Advanced Analytics, Regression Analysis, Statistical Visualization

      Credit offered

      Mastertrack · 6 - 12 Months

    Data Manipulation learners also search

    Data
    R
    Data Science
    Data Analytics
    Data Analysis
    R Programming
    Applied Data Science
    Beginner Data Science
    1…590591592…598

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

    • Pengantar Keamanan di Dunia AI: Google Cloud
    • Introducción al análisis de datos en Google Cloud: Google Cloud
    • Gemini for end-to-end SDLC - 한국어: Google Cloud
    • Monitoring, Security, and High Availability in Vault: Packt
    • IT Systems Design and Analysis : SkillUp EdTech
    • Finalizing, Rendering & Advanced Lighting: Packt
    • What's New in .NET and C#: Packt
    • System Analyst Capstone Project : IBM
    • Google Cloud Customer Care Fundamentals - 한국어: Google Cloud
    • MBA Business Analytics: O.P. Jindal Global 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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