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    Results for "data manipulation"

    • G

      Google Cloud

      Serverless Data Processing with Dataflow: Operations en Español

      Skills you'll gain: Strategy, Business Analysis, Leadership and Management, Communication, Databases, Data Management, Database Administration, Network Security, Strategy and Operations, Market Analysis

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      N

      Nanjing University

      用Python玩转数据 Data Processing Using Python

      Skills you'll gain: Computer Programming, Python Programming, Data Analysis, Programming Principles, Big Data, Computer Programming Tools, Data Analysis Software, Statistical Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.6K reviews

      Mixed · Course · 1 - 3 Months

    • G

      Google Cloud

      Troubleshooting Data Models in Looker

      Skills you'll gain: Data Analysis, Data Analysis Software, Data Visualization, Google Cloud Platform, Looker (Software)

      Intermediate · Project · Less Than 2 Hours

    • S

      SAS

      SAS® Programming for Distributed Computing in SAS® Viya®

      4.9
      Rating, 4.9 out of 5 stars
      ·
      11 reviews

      Advanced · Course · 1 - 3 Months

    • T

      Tsinghua University

      Data Structures and Algorithms (III)

      Skills you'll gain: Mathematics, Problem Solving

      Intermediate · Course · 1 - 3 Months

    • T

      Tsinghua University

      Data Structures and Algorithms (IV)

      Skills you'll gain: Algebra, Calculus, Mathematics, Problem Solving

      2.7
      Rating, 2.7 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      C

      Coursera Project Network

      Database Creation and Modeling using MYSQL Workbench

      Skills you'll gain: Business Intelligence

      4.3
      Rating, 4.3 out of 5 stars
      ·
      24 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Placeholder
      I

      IBM

      Generative AI for Business Intelligence (BI) Analysts

      Skills you'll gain: Artificial Neural Networks, Business Intelligence, Data Analysis, Data Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Placeholder
      Status: Free
      Free
      A

      Amazon Web Services

      Fundamentals of Analytics on AWS

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13 reviews

      Mixed · Course · 1 - 4 Weeks

    • Placeholder
      G

      Google Cloud

      Troubleshooting Common SQL Errors with BigQuery

      Skills you'll gain: Data Analysis, SQL

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Project · Less Than 2 Hours

    • Placeholder
      S

      SAS

      Creating Advanced Reports with SAS Visual Analytics

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      213 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      I

      IBM

      IBM Introduction to Machine Learning

      Skills you'll gain: Machine Learning, Machine Learning Algorithms, Algorithms, Statistical Machine Learning, Human Learning, Probability & Statistics, Applied Machine Learning, Data Analysis, Regression, General Statistics, Python Programming, Feature Engineering, Machine Learning Software, Exploratory Data Analysis, Dimensionality Reduction, Statistical Analysis, Statistical Tests, Interactive Data Visualization, Visualization (Computer Graphics)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    Searches related to data manipulation

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    data manipulation with dplyr in r
    data manipulation in javascript
    data manipulation in rpa
    data manipulation at scale: systems and algorithms
    intermediate data manipulation and machine learning
    foundations of r programming and basic data manipulation
    data processing and manipulation
    1…109110111…414

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

    • Serverless Data Processing with Dataflow: Operations en Español: Google Cloud
    • 用Python玩转数据 Data Processing Using Python: Nanjing University
    • Troubleshooting Data Models in Looker: Google Cloud
    • SAS® Programming for Distributed Computing in SAS® Viya®: SAS
    • Data Structures and Algorithms (III): Tsinghua University
    • Data Structures and Algorithms (IV): Tsinghua University
    • Database Creation and Modeling using MYSQL Workbench: Coursera Project Network
    • Generative AI for Business Intelligence (BI) Analysts: IBM
    • Fundamentals of Analytics on AWS: Amazon Web Services
    • Troubleshooting Common SQL Errors with BigQuery: Google Cloud

    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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