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    Results for "data manipulation"

    • J

      Johns Hopkins University

      The R Programming Environment

      Skills you'll gain: R Programming, Statistical Programming, Data Analysis, Exploratory Data Analysis, Basic Descriptive Statistics, Computer Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      The Data Scientist’s Toolbox

      Skills you'll gain: Data Analysis, Data Management, Exploratory Data Analysis, R Programming, Computer Programming, Critical Thinking, General Statistics, Problem Solving, Statistical Programming, Statistical Tests

      4.6
      Rating, 4.6 out of 5 stars
      ·
      34K reviews

      Mixed · Course · 1 - 4 Weeks

    • I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Data Analysis, General Statistics, Probability & Statistics, Basic Descriptive Statistics, Python Programming, Statistical Analysis, Statistical Tests, Mathematical Theory & Analysis, Statistical Programming, Data Science, Data Visualization, Plot (Graphics), R Programming, Computer Programming, Cloud Computing, Databases, IBM Cloud, SQL

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      67K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Share Data Through the Art of Visualization

      Skills you'll gain: Business Communication, Data Analysis, Data Visualization, Data Visualization Software, Tableau Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Genomic Data Science

      Skills you'll gain: Bioinformatics, Computer Programming, Data Analysis, Python Programming, Computational Thinking, General Statistics, Exploratory Data Analysis, R Programming, Data Analysis Software, Algorithms, Computer Programming Tools, Biostatistics, Statistical Analysis, Programming Principles, Probability & Statistics, Statistical Tests, Data Structures, Operating Systems, Research and Design, Big Data, Computational Logic, Problem Solving, Statistical Programming, Experiment, Correlation And Dependence

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: [object Object]
      AI skills
      M

      Meta

      Meta Data Analyst

      Skills you'll gain: Basic Descriptive Statistics, Business Analysis, Communication, Computer Programming, Data Analysis, Data Management, Data Visualization, Databases, Experiment, General Statistics, Marketing, Probability & Statistics, Probability Distribution, Python Programming, Regression, SQL, Statistical Analysis, Statistical Programming, Statistical Tests, Storytelling, Tableau Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      984 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      U

      University of California San Diego

      Introduction to Big Data

      Skills you'll gain: Big Data, Data Analysis, Data Management, Data Model, Exploratory Data Analysis, Cloud Computing, Data Structures, Distributed Computing Architecture, Extract, Transform, Load, Machine Learning, Apache

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11K reviews

      Mixed · Course · 1 - 3 Months

    • Placeholder
      I

      IBM

      Data Visualization with Python

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      12K reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      G

      Google

      Data Analysis with R Programming

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11K reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      S

      SAS

      Data Literacy: Exploring and Visualizing Data

      Skills you'll gain: Data Analysis, SAS (Software), Statistical Programming

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

      Beginner · Specialization · 1 - 3 Months

    • Placeholder
      I

      IBM

      IBM Data Analytics with Excel and R

      Skills you'll gain: Data Analysis, R Programming, Data Visualization, Computer Programming, Plot (Graphics), Statistical Programming, Statistical Visualization, Exploratory Data Analysis, Data Analysis Software, Statistical Analysis, Basic Descriptive Statistics, Data Structures, General Statistics, Microsoft Excel, Interactive Data Visualization, Visualization (Computer Graphics), Spreadsheet Software, Data Management, Extract, Transform, Load, Regression, Programming Principles, Databases, Computer Programming Tools, Correlation And Dependence, Data Mining, Visual Design, Probability & Statistics, Data Visualization Software, System Programming, Python Programming, SQL, Business Analysis, Data Science, NoSQL, Big Data

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      26K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      U

      University of California, Davis

      Learn SQL Basics for Data Science

      Skills you'll gain: Data Analysis, Data Management, Databases, Exploratory Data Analysis, SQL, Data Model, Problem Solving, Database Administration, Database Application, Extract, Transform, Load, Big Data, Apache, Data Science, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18K reviews

      Beginner · Specialization · 3 - 6 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
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    intermediate data manipulation and machine learning
    foundations of r programming and basic data manipulation
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    1…121314…415

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

    • The R Programming Environment: Johns Hopkins University
    • The Data Scientist’s Toolbox: Johns Hopkins University
    • Data Science Fundamentals with Python and SQL: IBM
    • Share Data Through the Art of Visualization: Google
    • Genomic Data Science: Johns Hopkins University
    • Meta Data Analyst: Meta
    • Introduction to Big Data: University of California San Diego
    • Data Visualization with Python: IBM
    • Data Analysis with R Programming: Google
    • 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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