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    Results for "data manipulation"

    • U

      UiPath

      Data Manipulation in RPA

      4.7
      Rating, 4.7 out of 5 stars
      ·
      59 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Washington

      Data Manipulation at Scale: Systems and Algorithms

      Skills you'll gain: Python Programming, SQL, Computer Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      766 reviews

      Mixed · Course · 1 - 3 Months

    • I

      IBM

      Excel Basics for Data Analysis

      Skills you'll gain: Microsoft Excel, Spreadsheet Software, Data Analysis, Data Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8.6K reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Introduction to Data Analysis using Microsoft Excel

      Skills you'll gain: Data Analysis, Data Mining, Microsoft Excel

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • G

      Google

      Process Data from Dirty to Clean

      Skills you'll gain: Data Analysis, SQL, General Statistics, Spreadsheet Software, Databases, Extract, Transform, Load, Microsoft Excel

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17K reviews

      Beginner · Course · 1 - 3 Months

    • C

      Corporate Finance Institute

      Power Query Fundamentals

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      C

      Coursera Project Network

      Finding, Sorting, & Filtering Data in Microsoft Excel

      Skills you'll gain: Microsoft Excel, Spreadsheet Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      353 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      G

      Google

      Analyze Data to Answer Questions

      Skills you'll gain: Data Analysis, Microsoft Excel, SQL, Spreadsheet Software

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

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      C

      Coursera Project Network

      Manipulating Data with SQL

      Skills you'll gain: Data Management, Databases, SQL

      4.6
      Rating, 4.6 out of 5 stars
      ·
      189 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      M

      Macquarie University

      Excel Skills for Data Analytics and Visualization

      Skills you'll gain: Business Analysis, Spreadsheet Software, Data Analysis, Data Management, Data Visualization, Microsoft Excel, Data Analysis Software, Exploratory Data Analysis, Statistical Visualization, Data Model, Data Structures, Database Design, Interactive Data Visualization, Plot (Graphics), Visual Design, Big Data, Power BI, Leadership and Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.4K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Placeholder
      J

      Johns Hopkins University

      Getting and Cleaning Data

      Skills you'll gain: Computer Programming, Data Analysis, Data Management, Databases, Exploratory Data Analysis, Extract, Transform, Load, R Programming, Statistical Programming, Computer Programming Tools, Data Mining

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • Placeholder
      D

      DeepLearning.AI

      Data Modeling, Transformation, and Serving

      Skills you'll gain: Feature Engineering

      4.6
      Rating, 4.6 out of 5 stars
      ·
      19 reviews

      Intermediate · Course · 1 - 4 Weeks

    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
    1234…414

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

    • Data Manipulation in RPA: UiPath
    • Data Manipulation at Scale: Systems and Algorithms: University of Washington
    • Excel Basics for Data Analysis: IBM
    • Introduction to Data Analysis using Microsoft Excel: Coursera Project Network
    • Process Data from Dirty to Clean: Google
    • Power Query Fundamentals: Corporate Finance Institute
    • Finding, Sorting, & Filtering Data in Microsoft Excel: Coursera Project Network
    • Analyze Data to Answer Questions: Google
    • Manipulating Data with SQL: Coursera Project Network
    • Excel Skills for Data Analytics and Visualization: Macquarie 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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