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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

    • M

      Meta

      Data Analysis with Spreadsheets and SQL

      Skills you'll gain: Data Visualization Software, Spreadsheet Software, Correlation Analysis, Google Sheets, Dashboard, Data Analysis, Data Storytelling, Tableau Software, Descriptive Statistics, Data Cleansing, Exploratory Data Analysis, Excel Formulas, Data Manipulation, Statistical Analysis, SQL

      4.6
      Rating, 4.6 out of 5 stars
      ·
      214 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google

      Google Advanced Data Analytics Capstone

      Skills you'll gain: Regression Analysis, Data Visualization, Statistical Analysis, Advanced Analytics, Data Analysis, Business Analytics, Data Science, Data-Driven Decision-Making, Predictive Modeling, Machine Learning, Interviewing Skills, Portfolio Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Advanced · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Introduction to Big Data

      Skills you'll gain: Big Data, Apache Hadoop, Scalability, Data Processing, Data Science, Distributed Computing, Unstructured Data, Data Analysis, Data Storage

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

      Mixed · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Data Visualization

      Skills you'll gain: Data Visualization, Data Visualization Software, Data Presentation, Interactive Data Visualization, Data Storytelling, Dashboard, Visualization (Computer Graphics), Tableau Software, Plot (Graphics), Graphing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.4K reviews

      Mixed · Course · 1 - 3 Months

    • G

      Google

      The Path to Insights: Data Models and Pipelines

      Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Data Warehousing, Databases, Performance Tuning, Data Pipelines, Database Systems, Data Integrity, Business Intelligence, Data Mart, Data Validation, Data Quality, SQL, Data Transformation, Performance Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      629 reviews

      Advanced · Course · 1 - 4 Weeks

    • R

      Rice University

      Introduction to Data Analysis Using Excel

      Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Manipulation, Data Access, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      10K reviews

      Mixed · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Getting and Cleaning Data

      Skills you'll gain: Data Manipulation, Data Cleansing, Data Integration, Data Import/Export, Data Collection, Data Management, Web Scraping, R Programming, MySQL, Application Programming Interface (API)

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

      Mixed · Course · 1 - 4 Weeks

    • M

      Meta

      Python Data Analytics

      Skills you'll gain: Pandas (Python Package), Data Analysis, Exploratory Data Analysis, Data Manipulation, Jupyter, Matplotlib, Regression Analysis, Programming Principles, Data Cleansing, Data Import/Export, Data Visualization Software, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      191 reviews

      Beginner · Course · 1 - 3 Months

    • M

      Meta

      Introduction to Data Analytics

      Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Cleansing, Data Modeling, Analytics, Data Analysis, Data Visualization, Data Validation, Exploratory Data Analysis, Data Quality, Data Manipulation, Generative AI, Data Collection

      4.8
      Rating, 4.8 out of 5 stars
      ·
      802 reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Statistical Inference, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Data Science, Machine Learning, Probability & Statistics, Jupyter, Pandas (Python Package), Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The University of North Carolina at Chapel Hill

      Research Data Management and Sharing

      Skills you'll gain: Data Sharing, Data Management, File Management, Data Storage, Information Management, Metadata Management, Data Governance, Record Keeping, Data Security, Data Ethics, Information Privacy, Version Control

      4.7
      Rating, 4.7 out of 5 stars
      ·
      715 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Introduction to Data Analytics for Business

      Skills you'll gain: Data Governance, Analytics, Business Analytics, Data Storage, Data Management, Big Data, Databases, Business Intelligence, Data Analysis, Relational Databases, Information Systems, Data Quality, SQL, Organizational Structure, Cloud Computing, Data Manipulation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 4 Weeks

    Data Manipulation learners also search

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

    • Data Analysis with Spreadsheets and SQL: Meta
    • Google Advanced Data Analytics Capstone: Google
    • Introduction to Big Data: University of California San Diego
    • Data Visualization: University of Illinois Urbana-Champaign
    • The Path to Insights: Data Models and Pipelines: Google
    • Introduction to Data Analysis Using Excel: Rice University
    • Getting and Cleaning Data: Johns Hopkins University
    • Python Data Analytics: Meta
    • Introduction to Data Analytics: Meta
    • Exploratory Data Analysis for Machine Learning: IBM

    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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