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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

    • A

      Amazon Web Services

      Building Data Lakes on AWS

      Skills you'll gain: Data Lakes, Data Visualization, Data Architecture, Amazon Web Services, Data Infrastructure, Data Warehousing, Data Processing, Amazon S3, Query Languages, AWS Identity and Access Management (IAM), Data Management, Data Transformation, Data Governance, Data Import/Export, Data Storage

      4.7
      Rating, 4.7 out of 5 stars
      ·
      291 reviews

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Introduction to Computers and Operating Systems and Security

      Skills you'll gain: Computer Systems, Business Software, Operating Systems, Generative AI, Business Systems, Cybersecurity, Enterprise Security, Servers, Computer Hardware, Information Systems Security, Data Storage, Patch Management, Microsoft 365, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Toronto

      Introduction to GIS Mapping

      Skills you'll gain: ArcGIS, Spatial Data Analysis, Geographic Information Systems, Geospatial Mapping, Data Mapping, Global Positioning Systems, Data Modeling, Data Capture

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Generative AI: Elevate Your Data Science Career

      Skills you'll gain: Generative AI, Exploratory Data Analysis, Data Ethics, Feature Engineering, Predictive Modeling, Prompt Engineering, Large Language Modeling, Data Storytelling, Data Modeling, Data Presentation, Data Synthesis, Data Analysis, Data Cleansing, Data Visualization Software, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      177 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California, Irvine

      Virtual Teacher

      Skills you'll gain: Peer Review, Instructional Design, Education Software and Technology, Parent Communication, Instructional Strategies, Student Engagement, Learning Management Systems, Student Support and Services, Teaching, Course Development, Collaborative Software, Developing Training Materials, Curriculum Development, Curriculum Planning, Blended Learning, Virtual Environment, Data Management, Performance Testing, Augmented Reality, Web Content Accessibility Guidelines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Foundational Finance for Strategic Decision Making

      Skills you'll gain: Market Data, Loans, Finance, Microsoft Excel, General Finance, Corporate Finance, Mortgage Loans, Financial Analysis, Equities, Investments, Financial Market, Business Valuation, Investment Management, Capital Budgeting, Capital Markets, Financial Modeling, Financial Management, Business Mathematics, Financial Planning, Cash Flows

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • 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

    • U

      University of Washington

      Machine Learning: Clustering & Retrieval

      Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Probability Distribution, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 3 Months

    • M

      Microsoft

      Deploy and Maintain Power BI Assets and Capstone project

      Skills you'll gain: Power BI, Dashboard, SQL, Microsoft SQL Servers, Data Security, Data Visualization Software, Data Modeling, Data Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      239 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
      ·
      33 reviews

      Beginner · Course · 1 - 3 Months

    • C

      CertNexus

      Extract, Transform, and Load Data

      Skills you'll gain: Extract, Transform, Load, Data Manipulation, Data Cleansing, Data Processing, Data Transformation, Data Warehousing, Data Integration, Data Quality, Data Import/Export, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Application Deployment, Deep Learning, Artificial Neural Networks, Data Processing, Scalability, Applied Machine Learning, Machine Learning, Data Transformation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.8K reviews

      Intermediate · 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

    • Building Data Lakes on AWS: Amazon Web Services
    • Introduction to Computers and Operating Systems and Security: Microsoft
    • Introduction to GIS Mapping: University of Toronto
    • Generative AI: Elevate Your Data Science Career: IBM
    • Virtual Teacher: University of California, Irvine
    • Foundational Finance for Strategic Decision Making: University of Michigan
    • Healthcare Data Management and Information Systems: Northeastern University
    • Machine Learning: Clustering & Retrieval: University of Washington
    • Deploy and Maintain Power BI Assets and Capstone project: Microsoft
    • SQL Fundamentals for Data Analysts: Corporate Finance Institute

    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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