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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

    • F

      Fractal Analytics

      GenAI for Everyone

      Skills you'll gain: Generative AI, ChatGPT, Artificial Intelligence, Prompt Engineering, Operational Efficiency, Human Centered Design, Personalized Service, Ethical Standards And Conduct, Natural Language Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      411 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Querying Databases Using SQL SELECT statement

      Skills you'll gain: SQL, Query Languages, Database Management, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      171 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Scrape and analyze data analyst job requirements with Python

      Skills you'll gain: Web Scraping, Data Visualization, Data Presentation, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Manipulation, Data Import/Export, Data Capture, Data Transformation, Python Programming, Jupyter

      3.2
      Rating, 3.2 out of 5 stars
      ·
      13 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Entrepreneurship 3: Growth Strategies

      Skills you'll gain: Growth Strategies, Key Performance Indicators (KPIs), Digital Marketing, Customer Acquisition Management, Business Metrics, Marketing Strategies, Market Dynamics, Business Strategies, Search Engine Optimization, Paid media, Talent Management, People Management, Forecasting, Earned Media, Organizational Structure, Public Relations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Building AI Cloud Apps with Microsoft Azure

      Skills you'll gain: Cloud Development, Image Analysis, Anomaly Detection, Prompt Engineering, Microsoft Copilot, Microsoft Azure, Cloud Storage, Data Storage, Cloud Applications, Computer Vision, Text Mining, Microsoft Development Tools, Unsupervised Learning, Data Storage Technologies, Natural Language Processing, Cloud Hosting, Data Ethics, Continuous Deployment, Application Deployment, Virtual Machines

      4.5
      Rating, 4.5 out of 5 stars
      ·
      488 reviews

      Intermediate · Specialization · 3 - 6 Months

    • A

      Automatic Data Processing, Inc. (ADP)

      Payroll and Tax Fundamentals

      Skills you'll gain: Payroll, Payroll Reporting, Payroll Processing, Payroll Administration, Payroll Tax, Labor Law, Tax Preparation, Labor Compliance, Income Tax, Compensation and Benefits, Tax Compliance, Employee Onboarding

      4.7
      Rating, 4.7 out of 5 stars
      ·
      132 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Web Application Technologies and Django

      Skills you'll gain: Django (Web Framework), HTML and CSS, Model View Controller, Application Deployment, Application Frameworks, Web Applications, Web Servers, SQL, Databases, Network Protocols, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Introducción a Java

      Skills you'll gain: Java, Java Programming, Object Oriented Programming (OOP), Object Oriented Design, Computer Programming, Software Design, User Interface (UI), Algorithms, Data Structures

      4.1
      Rating, 4.1 out of 5 stars
      ·
      938 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI For Medical Treatment

      Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Treatment Planning, Data Analysis, Precision Medicine, Applied Machine Learning, Patient Treatment, Machine Learning Methods, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Predictive Modeling, Medical Science and Research, Text Mining, Health Informatics, Large Language Modeling, Medical Terminology, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      524 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Fundamentals of Network Communication

      Skills you'll gain: Digital Communications, OSI Models, Network Protocols, TCP/IP, Network Routing, Network Architecture, Network Planning And Design, Computer Networking, Network Model, System Programming, Data Integrity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      VLSI CAD Part I: Logic

      Skills you'll gain: Computational Logic, Application Specific Integrated Circuits, Theoretical Computer Science, Data Structures, Verification And Validation, Computer Architecture, Algorithms, Computer Engineering, Programming Principles, Mathematical Software, Graph Theory, Software Development Tools

      4.7
      Rating, 4.7 out of 5 stars
      ·
      553 reviews

      Intermediate · Course · 1 - 3 Months

    • T

      The State University of New York

      International Cyber Conflicts

      Skills you'll gain: Cyber Threat Intelligence, Cyber Security Policies, Cybersecurity, International Relations, Cyber Risk, Cyber Operations, Cyber Governance, Diplomacy, Infrastructure Architecture, Conflict Management, Security Management, Political Sciences, Media and Communications, Psychology

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Mixed · Course · 1 - 3 Months

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

    • GenAI for Everyone: Fractal Analytics
    • Querying Databases Using SQL SELECT statement: Coursera Project Network
    • Scrape and analyze data analyst job requirements with Python: Coursera Project Network
    • Entrepreneurship 3: Growth Strategies: University of Pennsylvania
    • Building AI Cloud Apps with Microsoft Azure: Microsoft
    • Payroll and Tax Fundamentals: Automatic Data Processing, Inc. (ADP)
    • Web Application Technologies and Django: University of Michigan
    • Introducción a Java: Universidad Nacional Autónoma de México
    • AI For Medical Treatment: DeepLearning.AI
    • Fundamentals of Network Communication: University of Colorado System

    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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