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    Results for "data manipulation"

    • S

      SAS

      Getting Started with SAS Visual Analytics

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      872 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Data Science Coding Challenge: Loan Default Prediction

      Skills you'll gain: Data Analysis, Data Science, Machine Learning, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      80 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • I

      IBM

      Generative AI: Elevate your Data Engineering Career

      4.9
      Rating, 4.9 out of 5 stars
      ·
      16 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      Business Analytics

      Skills you'll gain: Data Analysis, Business Analysis, Probability & Statistics, Statistical Analysis, Leadership and Management, Strategy and Operations, Basic Descriptive Statistics, Exploratory Data Analysis, Financial Analysis, Forecasting, Data Model, Mathematics, Performance Management, Strategy, Accounting, Customer Analysis, Human Resources, Human Resources Operations, Market Analysis, Market Research, Marketing, Mathematical Theory & Analysis, Operations Management, Operations Research, Organizational Development, People Analysis, People Management, Spreadsheet Software, Talent Management, Financial Accounting, Collaboration, Finance, Regulations and Compliance

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

      Beginner · Specialization · 3 - 6 Months

    • C

      Codio

      Data Analysis in Python with pandas & matplotlib in Spyder

      Skills you'll gain: Basic Descriptive Statistics, Data Analysis, Python Programming

      3.1
      Rating, 3.1 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      E

      EIT Digital

      Security and Privacy for Big Data - Part 2

      Skills you'll gain: Big Data, Data Management, Security Engineering, Security Strategy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      250 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      S

      SkillUp EdTech

      Data Management Capstone Project

      Skills you'll gain: Risk Management

      Advanced · Course · 1 - 4 Weeks

    • Placeholder
      L

      LearnQuest

      Data Analytics with Teradata

      Beginner · Specialization · 1 - 3 Months

    • Placeholder
      P

      Packt

      Prerequisites and Advanced Machine Learning for NLP

      Skills you'll gain: Data Science, Machine Learning, Natural Language Processing

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      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

    • Placeholder
      C

      Coursera Project Network

      Build a Machine Learning Web App with Streamlit and Python

      Skills you'll gain: Data Science, Machine Learning, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      399 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      D

      Duke University

      Data Engineering with Rust

      Skills you'll gain: Python Programming, Software Testing, System Programming

      3.4
      Rating, 3.4 out of 5 stars
      ·
      34 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
    1…454647…415

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

    • Getting Started with SAS Visual Analytics : SAS
    • Data Science Coding Challenge: Loan Default Prediction: Coursera Project Network
    • Generative AI: Elevate your Data Engineering Career : IBM
    • Business Analytics: University of Pennsylvania
    • Data Analysis in Python with pandas & matplotlib in Spyder: Codio
    • Security and Privacy for Big Data - Part 2: EIT Digital
    • Data Management Capstone Project: SkillUp EdTech
    • Data Analytics with Teradata: LearnQuest
    • Prerequisites and Advanced Machine Learning for NLP: Packt
    • Get Started with Python: Google

    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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