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    Results for "data manipulation"

    • W

      Wesleyan University

      Data Analysis Tools

      Skills you'll gain: Data Analysis, General Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      414 reviews

      Mixed · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Building Data Visualization Tools

      Skills you'll gain: Data Visualization, R Programming

      4
      Rating, 4 out of 5 stars
      ·
      157 reviews

      Intermediate · Course · 1 - 3 Months

    • M

      Meta

      Introduction to Data Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      47 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Cloudera

      Foundations for Big Data Analysis with SQL

      Skills you'll gain: Data Management, Databases, Big Data, Data Structures, SQL, Data Analysis, Data Warehousing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • D

      Duke University

      Managing Big Data with MySQL

      Skills you'll gain: Big Data, Business Analysis, Data Management, Data Structures, Databases, SQL, Critical Thinking, Data Analysis, Database Theory, Extract, Transform, Load

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.1K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      Universiteit Leiden

      Population Health: Responsible Data Analysis

      Skills you'll gain: Data Analysis, R Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      41 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      I

      IBM

      SQL for Data Science with R

      Skills you'll gain: Computer Programming, Data Analysis, Data Science, R Programming, SQL

      4.3
      Rating, 4.3 out of 5 stars
      ·
      156 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      I

      IBM

      Data Science with R - Capstone Project

      Skills you'll gain: Data Analysis, R Programming, Computer Programming, Data Management, Data Visualization, Plot (Graphics), Basic Descriptive Statistics, Correlation And Dependence, Databases, Extract, Transform, Load, Exploratory Data Analysis, Data Science

      4.5
      Rating, 4.5 out of 5 stars
      ·
      82 reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      U

      University of Colorado Boulder

      Vital Skills for Data Science

      Skills you'll gain: Data Analysis, Security Strategy, Data Visualization, Algorithms, Communication, Cryptography, Applied Mathematics, Computer Science, Data Science, Exploratory Data Analysis, Problem Solving, Professional Development

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      100 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Placeholder
      U

      University of California San Diego

      Graph Analytics for Big Data

      Skills you'll gain: Graph Theory, Mathematics, Statistical Programming, Data Management, Databases

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

      Mixed · Course · 1 - 3 Months

    • Placeholder
      C

      Coursera Project Network

      Storytelling With Data

      Skills you'll gain: Critical Thinking, Microsoft Excel, Storytelling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      195 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Placeholder
      U

      University of Illinois Urbana-Champaign

      Visualization for Data Journalism

      Skills you'll gain: Data Visualization, Communication, Journalism, Plot (Graphics), Statistical Visualization, Data Analysis, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      67 reviews

      Beginner · Course · 1 - 3 Months

    Searches related to data manipulation

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    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…222324…415

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

    • Data Analysis Tools: Wesleyan University
    • Building Data Visualization Tools: Johns Hopkins University
    • Introduction to Data Management: Meta
    • Foundations for Big Data Analysis with SQL: Cloudera
    • Managing Big Data with MySQL: Duke University
    • Population Health: Responsible Data Analysis: Universiteit Leiden
    • SQL for Data Science with R: IBM
    • Data Science with R - Capstone Project: IBM
    • Vital Skills for Data Science: University of Colorado Boulder
    • Graph Analytics for Big Data: University of California San Diego

    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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