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    Results for "data manipulation"

    • I

      IBM

      Data Engineering Career Guide and Interview Preparation

      Skills you'll gain: Leadership and Management, Big Data

      4.7
      Rating, 4.7 out of 5 stars
      ·
      56 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Statistical Inference and Hypothesis Testing in Data Science Applications

      Skills you'll gain: General Statistics, Probability & Statistics, Statistical Tests

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      47 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Sort and Filter Data in SQL using MySQL Workbench

      Skills you'll gain: SQL

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      U

      University of Copenhagen

      Data Literacy – What is it and why does it matter?

      Skills you'll gain: Data Analysis, Data Management, Algorithms, Customer Analysis, Data Mining, Decision Making, Machine Learning, Machine Learning Algorithms, Media Strategy & Planning, People Analysis, Critical Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      106 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google

      Get Started with Python

      Skills you'll gain: Computer Programming, Data Analysis, Data Visualization, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Advanced · Course · 1 - 3 Months

    • F

      Fundação Instituto de Administração

      Marketing e Data Science

      Skills you'll gain: Leadership and Management, Business Analysis, Strategy, Data Management, Strategy and Operations, Databases, Communication, Data Analysis, Data Analysis Software, Marketing, Entrepreneurship, Market Analysis, Media Strategy & Planning, Finance

      4.3
      Rating, 4.3 out of 5 stars
      ·
      7 reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      G

      Google Cloud

      Put It All Together: Prepare for a Cloud Data Analyst Job

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      G

      Google Cloud

      Redacting Sensitive Data with Cloud Data Loss Prevention

      Skills you'll gain: Cloud Computing

      Beginner · Project · Less Than 2 Hours

    • Placeholder
      M

      Meta

      مهندس Meta لقواعد البيانات

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      R

      Rice University

      Python Data Analysis

      Skills you'll gain: Computer Programming, Data Analysis, Data Structures, Programming Principles, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      884 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      P

      Packt

      Modern JavaScript with ES6

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      U

      University of Illinois Urbana-Champaign

      Introduction to Business Analytics: Communicating with Data

      Skills you'll gain: Business Analysis, Communication, Data Analysis, Data Visualization, Interactive Data Visualization, Data Visualization Software, Visual Design, Visualization (Computer Graphics), Business Communication, Creativity

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      616 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to data manipulation

    data manipulation and management using mysql workbench
    data manipulation at scale: systems and algorithms
    data manipulation with dplyr in r
    data manipulation in javascript
    data manipulation in rpa
    intermediate data manipulation and machine learning
    foundations of r programming and basic data manipulation
    data processing and manipulation
    1…707172…414

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

    • Data Engineering Career Guide and Interview Preparation: IBM
    • Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
    • Sort and Filter Data in SQL using MySQL Workbench: Coursera Project Network
    • Data Literacy – What is it and why does it matter?: University of Copenhagen
    • Get Started with Python: Google
    • Marketing e Data Science: Fundação Instituto de Administração
    • Put It All Together: Prepare for a Cloud Data Analyst Job: Google Cloud
    • Redacting Sensitive Data with Cloud Data Loss Prevention: Google Cloud
    • مهندس Meta لقواعد البيانات: Meta
    • Python Data Analysis: Rice 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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