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    • Data Manipulation

    Data Manipulation Courses Online

    Master data manipulation techniques for transforming data. Learn to clean, merge, and reshape datasets using tools like SQL and Python.

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    Explore the Data Manipulation Course Catalog

    • U

      University of Amsterdam

      Qualitative Research Methods

      Skills you'll gain: Qualitative Research, Interviewing Skills, Social Sciences, Research, Research Methodologies, Scientific Methods, Data Collection, Research Design, Report Writing, Ethical Standards And Conduct

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Business Intelligence (BI) Essentials

      Skills you'll gain: Business Intelligence, Data-Driven Decision-Making, Data Mining, Business Analytics, Data Analysis, Statistical Visualization, Data Management, Data Collection, Data Warehousing, Data Wrangling, Extract, Transform, Load, Data Visualization Software, Data Transformation, Key Performance Indicators (KPIs)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      294 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google

      Automating Real-World Tasks with Python

      Skills you'll gain: Web Services, Python Programming, Restful API, Professional Development, Automation, Scripting, Application Programming Interface (API), Stress Management, JSON, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Hands-on Introduction to Linux Commands and Shell Scripting

      Skills you'll gain: Linux Commands, Bash (Scripting Language), Shell Script, File Management, Unix Shell, Linux, File Systems, Unix Commands, Scripting, Linux Servers, Command-Line Interface, Linux Administration, Scripting Languages, Unix, Operating Systems, Network Protocols, OS Process Management, TCP/IP, Network Administration, Automation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • K

      Kennesaw State University

      Six Sigma Tools for Define and Measure

      Skills you'll gain: Data Collection, Lean Six Sigma, Six Sigma Methodology, Quality Improvement, Process Improvement, Business Process, Project Management, Project Planning, Customer experience improvement, Data Validation, Process Mapping, Statistics, Stakeholder Management, Statistical Analysis

      Build toward a degree

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

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      Financial Acumen for Non-Financial Managers

      Skills you'll gain: Financial Reporting, Financial Statements, Income Statement, Financial Analysis, Risk Analysis, Cash Flows, Predictive Analytics, Profit and Loss (P&L) Management, Financial Forecasting, Balance Sheet, Business Metrics, Financial Management, Financial Planning, Key Performance Indicators (KPIs), Business Risk Management, Performance Analysis, Return On Investment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      956 reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      Northeastern University

      Healthcare Data Management and Information Systems

      Skills you'll gain: Health Informatics, Health Information Management, Health Care Administration, Digital Transformation, Health Systems, Health Care, Electronic Medical Record, Medical Records, Emerging Technologies, Telehealth, Information Privacy, Technology Strategies, Cybersecurity, Regulatory Compliance, Innovation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      Universitat Autònoma de Barcelona

      Competencias digitales de ofimática: Microsoft Excel

      Skills you'll gain: Excel Formulas, Microsoft Excel, Data Visualization, Spreadsheet Software, Productivity Software, Microsoft 365, Data Entry, Data Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Statistical Inference

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      4.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • N

      Novartis

      Clinical Trials: Good Clinical Practice

      Skills you'll gain: Clinical Research, Clinical Trials, Healthcare Ethics, Patient Education And Counseling, Record Keeping, Medical Science and Research, Regulatory Compliance, Document Management, Medical Privacy, Patient Safety, Risk Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      494 reviews

      Beginner · Specialization · 1 - 3 Months

    • D

      DeepLearning.AI

      Introduction to Generative AI for Software Development

      Skills you'll gain: Prompt Engineering, Large Language Modeling, ChatGPT, Generative AI, Code Review, Software Development, Program Development, Software Development Methodologies, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      437 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Corporate Finance Institute

      SQL Fundamentals for Data Analysts

      Skills you'll gain: SQL, Databases, Data Manipulation, Data Analysis, Relational Databases, Business Intelligence, Query Languages, Data Warehousing, Data Transformation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 3 Months

    Data Manipulation learners also search

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

    • Qualitative Research Methods: University of Amsterdam
    • Business Intelligence (BI) Essentials: IBM
    • Automating Real-World Tasks with Python: Google
    • Hands-on Introduction to Linux Commands and Shell Scripting: IBM
    • Six Sigma Tools for Define and Measure: Kennesaw State University
    • Financial Acumen for Non-Financial Managers: University of Pennsylvania
    • Healthcare Data Management and Information Systems: Northeastern University
    • Competencias digitales de ofimática: Microsoft Excel: Universitat Autònoma de Barcelona
    • Statistical Inference: Johns Hopkins University
    • Clinical Trials: Good Clinical Practice: Novartis

    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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