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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
      U

      University of California San Diego

      Drug Development

      Skills you'll gain: Clinical Trials, Clinical Research, Pharmaceuticals, Regulatory Affairs, Pharmacology, Medical Science and Research, Health Care Procedure and Regulation, Commercialization, Patient Safety

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Digital Transformation with Google Cloud

      Skills you'll gain: Digital Transformation, Cloud Services, Cloud Infrastructure, Infrastructure As A Service (IaaS), Cloud Computing, Public Cloud, Business Transformation, Technology Strategies, Google Cloud Platform, Software As A Service, Platform As A Service (PaaS), Hybrid Cloud Computing, Cloud Security, Multi-Cloud, Capital Expenditure

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      SQL Fundamentals for Data Analysts

      Skills you'll gain: SQL, Databases, Data Manipulation, Data Analysis, Relational Databases, Business Intelligence, Query Languages, Data Warehousing, Data Transformation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      36 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Virginia

      Managerial Accounting Fundamentals

      Skills you'll gain: Management Accounting, Cost Accounting, Accounting, Cost Benefit Analysis, Cost Management, Financial Accounting, Financial Data, Financial Analysis, Decision Making, Data Visualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      809 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Y

      Yonsei University

      International Marketing & Cross Industry Growth

      Skills you'll gain: Business Marketing, Hospitality Management, Peer Review, Global Marketing, Marketing, Hospitality, Brand Management, B2B Sales, Customer Service, Innovation, Customer experience strategy (CX), Promotional Strategies, Strategic Marketing, Business-To-Consumer, Consumer Behaviour, Target Market, Market Share, Expectation Management, Growth Strategies, Digital Marketing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      C++ For C Programmers, Part A

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Algorithms, C (Programming Language), Programming Principles, Computer Programming, Data Structures, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      Northwestern University

      What is Social?

      Skills you'll gain: Social Media Marketing, Target Audience, Social Media Strategy, Digital Transformation, Social Media Management, Professional Networking, Marketing Strategies, Content Strategy, Business Transformation, Market Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      A Crash Course in Causality: Inferring Causal Effects from Observational Data

      Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Statistical Software, Statistical Modeling, Statistical Inference, Data Analysis, Probability & Statistics, Regression Analysis, Research Design, Graph Theory

      4.7
      Rating, 4.7 out of 5 stars
      ·
      564 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Building Scalable Java Microservices with Spring Boot and Spring Cloud

      Skills you'll gain: Microservices, Application Deployment, Google Cloud Platform, Cloud Applications, Spring Boot, Kubernetes, Java, Software Architecture, Data Migration, Cloud Services, Application Performance Management, Application Programming Interface (API), Databases

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      IA Para Todos (Español)

      Skills you'll gain: Market Opportunities, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Strategic Thinking, Artificial Neural Networks, Data Science, Business Intelligence, Deep Learning, Machine Learning, Business Transformation, Computer Vision

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

      Skills you'll gain: Descriptive Statistics, Probability & Statistics, Probability Distribution, Business Analytics, Microsoft Excel, Data Analysis, Statistical Analysis, Box Plots, Sampling (Statistics), Correlation Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.6K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      Advanced React

      Skills you'll gain: Jest (JavaScript Testing Framework), React.js, Web Development Tools, JavaScript Frameworks, API Design, Unit Testing, UI Components, Javascript, JSON, Integration Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Intermediate · Course · 1 - 4 Weeks

    Data Manipulation learners also search

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

    • Drug Development: University of California San Diego
    • Digital Transformation with Google Cloud: Google Cloud
    • SQL Fundamentals for Data Analysts: Corporate Finance Institute
    • Managerial Accounting Fundamentals: University of Virginia
    • International Marketing & Cross Industry Growth: Yonsei University
    • C++ For C Programmers, Part A: University of California, Santa Cruz
    • What is Social?: Northwestern University
    • A Crash Course in Causality: Inferring Causal Effects from Observational Data: University of Pennsylvania
    • Building Scalable Java Microservices with Spring Boot and Spring Cloud: Google Cloud
    • IA Para Todos (Español): DeepLearning.AI

    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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