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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
      V

      Vanderbilt University

      ChatGPT + Excel: Master Data, Make Decisions, Tell Stories

      Skills you'll gain: Data Storytelling, Data Presentation, Data Synthesis, Microsoft Excel, Infographics, Data Analysis, Data Cleansing, Data Import/Export, ChatGPT, Statistical Reporting, Data Integration, Data Transformation, Data Validation, Exploratory Data Analysis, Prompt Engineering, Data Quality, Generative AI

      4.8
      Rating, 4.8 out of 5 stars
      ·
      54 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Microsoft Excel VBA and Macros

      Skills you'll gain: Excel Macros, Microsoft Excel, Data Manipulation, Visual Basic (Programming Language), Data Analysis, Productivity Software, Automation, Strategic Decision-Making

      4.5
      Rating, 4.5 out of 5 stars
      ·
      166 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Cape Town

      Understanding Clinical Research: Behind the Statistics

      Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Clinical Research, Statistical Analysis, Quantitative Research, Descriptive Statistics, Statistical Inference, Data Collection, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Davis

      Healthcare Data Quality and Governance

      Skills you'll gain: Data Governance, Data Quality, Data Validation, Data Management, Data Cleansing, Health Information Management, Metadata Management, Health Informatics, Technical Communication, Change Control

      4.6
      Rating, 4.6 out of 5 stars
      ·
      123 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      BigQuery for Data Analysts

      Skills you'll gain: Looker (Software), Big Data, SQL, Data Pipelines, Data Transformation, Extract, Transform, Load, Data Warehousing, Data Cleansing, Data Analysis, Data Visualization Software, Google Sheets, Google Cloud Platform, Data Import/Export, Data Integrity

      4.5
      Rating, 4.5 out of 5 stars
      ·
      57 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      JavaScript Programming with React, Node & MongoDB

      Skills you'll gain: Node.JS, Server Side, MongoDB, React Redux, NoSQL, Restful API, React.js, Back-End Web Development, Front-End Web Development, JavaScript Frameworks, Ajax, Javascript, UI Components, Application Deployment, Data Structures, Authentications, Debugging, Cloud Applications, Full-Stack Web Development, JSON

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Arizona

      Astronomy: Exploring Time and Space

      Skills you'll gain: Physical Science, Physics, Engineering, Scientific, and Technical Instruments, Ancient History, Chemistry, General Science and Research, Scientific Methods, Scientific Visualization, Research, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.9K reviews

      Beginner · Course · 1 - 3 Months

    • N

      Northeastern University

      Healthcare Analytics Essentials

      Skills you'll gain: Health Informatics, Business Analytics, Analytics, Patient Safety, Health Care, Health Administration, Healthcare Industry Knowledge, Statistical Analysis, Business Intelligence, Quantitative Research, Performance Measurement, Performance Metric, Data Analysis, Data-Driven Decision-Making, Descriptive Analytics, Peer Review, Data Collection

      4.6
      Rating, 4.6 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      JavaScript for Beginners

      Skills you'll gain: jQuery, Javascript and jQuery, Ajax, Javascript, Data Validation, UI Components, HTML and CSS, Scripting, JSON, Scripting Languages, JavaScript Frameworks, Web Applications, Event-Driven Programming, Web Development Tools, Web Development, Game Design, Application Development, Application Programming Interface (API), Object Oriented Programming (OOP), Animations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Beginner · Specialization · 3 - 6 Months

    • S

      SAS

      Data Literacy: Exploring and Visualizing Data

      Skills you'll gain: Exploratory Data Analysis, Data Literacy, Data Storytelling, Data-Driven Decision-Making, Data Presentation, SAS (Software), Trend Analysis, Data Manipulation, Data Analysis, Data Quality, Data Cleansing, Scatter Plots, Interactive Data Visualization, Technical Communication, Time Series Analysis and Forecasting, Data Ethics, Data Visualization, Data Visualization Software, Research, Business Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free
      Free
      U

      Universidad Austral

      Excel aplicado a los negocios (Nivel Avanzado)

      Skills you'll gain: Excel Macros, Microsoft Excel, Excel Formulas, Spreadsheet Software, Business Analysis, Data Validation, Business Analytics, Data Import/Export, Data Maintenance, Process Optimization, Data Analysis Software, Business Modeling, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      S

      Stanford University

      Understanding Einstein: The Special Theory of Relativity

      Skills you'll gain: Physics, Timelines, Verification And Validation, Scientific Methods, Research, Mechanics, Mathematical Modeling, Systems Of Measurement

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 3 Months

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

    • ChatGPT + Excel: Master Data, Make Decisions, Tell Stories: Vanderbilt University
    • Microsoft Excel VBA and Macros: Coursera Instructor Network
    • Understanding Clinical Research: Behind the Statistics: University of Cape Town
    • Healthcare Data Quality and Governance: University of California, Davis
    • BigQuery for Data Analysts: Google Cloud
    • JavaScript Programming with React, Node & MongoDB: IBM
    • Astronomy: Exploring Time and Space: University of Arizona
    • Healthcare Analytics Essentials : Northeastern University
    • JavaScript for Beginners: University of California, Davis
    • Data Literacy: Exploring and Visualizing Data: SAS

    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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