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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 Pennsylvania

      Fundamentals of Quantitative Modeling

      Skills you'll gain: Mathematical Modeling, Statistical Modeling, Regression Analysis, Business Modeling, Financial Modeling, Business Mathematics, Markov Model, Probability, Predictive Analytics, Process Optimization, Risk Management, Statistics, Probability Distribution, Simulation and Simulation Software, Forecasting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      Big Data, Artificial Intelligence, and Ethics

      Skills you'll gain: Data Ethics, Artificial Intelligence, Research, Natural Language Processing, Big Data, Research Methodologies, Social Sciences, Machine Learning, Data Mining, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      601 reviews

      Beginner · Course · 1 - 4 Weeks

    • R

      Rice University

      Business Statistics and Analysis

      Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Pivot Tables And Charts, Regression Analysis, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Analysis, Statistical Modeling, Excel Formulas, Data Analysis, Data Presentation, Statistics, Business Analysis, Statistical Methods, Sample Size Determination, Statistical Inference

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Análisis de Datos de Google

      Skills you'll gain: Data Storytelling, Presentations, Rmarkdown, Data Presentation, Data Cleansing, Data Visualization, Data Literacy, Ggplot2, Data Validation, Spreadsheet Software, Data Visualization Software, Data Ethics, Data Analysis, Data-Driven Decision-Making, Tableau Software, Data Processing, Dashboard, Business Analysis, Stakeholder Communications, Databases

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Michigan

      Python Basics

      Skills you'll gain: Debugging, Programming Principles, Python Programming, Data Structures, Scripting Languages, Computer Programming, Pseudocode, Computer Graphics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      IBM Introduction to Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Statistical Inference, Predictive Modeling, Data Processing, Data Access, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Statistical Modeling, Applied Machine Learning, Data Cleansing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Pennsylvania

      Entrepreneurship

      Skills you'll gain: Growth Strategies, Key Performance Indicators (KPIs), Entrepreneurial Finance, Entrepreneurship, Digital Marketing, Business Valuation, Market Opportunities, Proposal Development, Customer Acquisition Management, Peer Review, Branding, Lean Methodologies, Business Metrics, Marketing Strategies, Financial Analysis, Product Development, Due Diligence, Team Building, Ideation, Private Equity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      Imperial College London

      Mathematics for Machine Learning: Linear Algebra

      Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Jupyter, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google

      Google Prompting Essentials

      Skills you'll gain: Prompt Engineering, Generative AI, Data Storytelling, Ideation, Brainstorming, Data Ethics, Business Writing, Presentations, Artificial Intelligence, Data Analysis, Human Computer Interaction

      4.8
      Rating, 4.8 out of 5 stars
      ·
      713 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Overview of Data Visualization

      Skills you'll gain: Data Presentation, Data Literacy, Data Synthesis, Data Visualization Software, Google Sheets, Graphing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      398 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      U

      University of California, Santa Cruz

      C and Go: Classical and Modern Programming

      Skills you'll gain: Go (Programming Language), Debugging, C (Programming Language), Data Structures, C++ (Programming Language), Object Oriented Design, Object Oriented Programming (OOP), Code Review, Programming Principles, Computer Programming, Unit Testing, Algorithms, Command-Line Interface, Program Development, Integrated Development Environments, Software Testing, Computer Science, Computational Thinking, File Management, Integration Testing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      7.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • M

      Microsoft

      Microsoft Azure Data Scientist Associate (DP-100) Exam Prep

      Skills you'll gain: Databricks, Unsupervised Learning, PySpark, Microsoft Azure, Apache Spark, Scikit Learn (Machine Learning Library), MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Data Visualization, Applied Machine Learning, Regression Analysis, Data Science, Predictive Modeling, Data Analysis, Image Analysis, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing

      4.2
      Rating, 4.2 out of 5 stars
      ·
      545 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    Data Manipulation learners also search

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    1…252627…592

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

    • Fundamentals of Quantitative Modeling: University of Pennsylvania
    • Big Data, Artificial Intelligence, and Ethics: University of California, Davis
    • Business Statistics and Analysis: Rice University
    • Análisis de Datos de Google: Google
    • Python Basics: University of Michigan
    • IBM Introduction to Machine Learning: IBM
    • Entrepreneurship: University of Pennsylvania
    • Mathematics for Machine Learning: Linear Algebra: Imperial College London
    • Google Prompting Essentials: Google
    • Overview of Data Visualization: Coursera Project Network

    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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