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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

    • Status: Free Trial
      Free Trial
      I

      IBM

      Supervised Machine Learning: Regression

      Skills you'll gain: Supervised Learning, Regression Analysis, Predictive Modeling, Machine Learning, Statistical Modeling, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Feature Engineering, Statistical Analysis, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      741 reviews

      Intermediate · Course · 1 - 3 Months

    • T

      Tecnológico de Monterrey

      ChatGPT - Usos y Estrategias

      Skills you'll gain: ChatGPT, Prompt Engineering, Data Ethics, Artificial Intelligence, Productivity, Generative AI, Creativity, Ethical Standards And Conduct, Innovation, Natural Language Processing, Critical Thinking

      4.9
      Rating, 4.9 out of 5 stars
      ·
      964 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Analyst Career Guide and Interview Preparation

      Skills you'll gain: Professional Networking, Interviewing Skills, LinkedIn, Professional Development, Data Analysis, Recruitment, Relationship Building, Presentations, Talent Recruitment, Analytics, Portfolio Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      641 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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
      ·
      2.9K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Medical Prognosis

      Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Forecasting, Machine Learning, Statistical Methods, Statistical Analysis, Probability & Statistics, Data Analysis, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      787 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Practical Data Science with MATLAB

      Skills you'll gain: Data Storytelling, Feature Engineering, Data Visualization, Supervised Learning, Dimensionality Reduction, Data Integration, Interactive Data Visualization, Exploratory Data Analysis, Data Import/Export, Technical Communication, Data Analysis, Applied Machine Learning, Data Visualization Software, Matlab, Regression Analysis, Data Processing, Descriptive Statistics, Data Cleansing, Predictive Modeling, Data Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Practical Machine Learning

      Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Applied Machine Learning, Decision Tree Learning, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Processing, Data Collection

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Cybersecurity Compliance Framework, Standards & Regulations

      Skills you'll gain: IT Service Management, Information Technology Infrastructure Library, Cyber Risk, Data Ethics, Cyber Governance, NIST 800-53, Information Technology, Cybersecurity, ISO/IEC 27001, Security Management, Control Objectives for Information and Related Technology (COBIT), Artificial Intelligence, Risk Management Framework, Open Web Application Security Project (OWASP), Payment Card Industry (PCI) Data Security Standards, General Data Protection Regulation (GDPR)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.4K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Stay Ahead of the AI Curve

      Skills you'll gain: Artificial Intelligence, Workforce Development, Strategic Thinking, Digital Transformation, Innovation, Generative AI, Emerging Technologies, Business Solutions, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      247 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Stanford University

      Social and Economic Networks: Models and Analysis

      Skills you'll gain: Network Analysis, Network Model, Social Sciences, Sociology, Economics, Policy, and Social Studies, Game Theory, Behavioral Economics, Graph Theory, Mathematical Modeling, Markov Model, Probability & Statistics, Probability Distribution, Bayesian Statistics, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      754 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Evaluations of AI Applications in Healthcare

      Skills you'll gain: Data Ethics, Artificial Intelligence, Health Technology, Healthcare Industry Knowledge, Health Care, Patient Safety, Health Equity, Health Disparities, Regulatory Compliance, Application Deployment, Continuous Monitoring, Clinical Data Management, Decision Support Systems, Predictive Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      295 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to Responsible AI

      Skills you'll gain: Data Ethics, Artificial Intelligence, Accountability, Business Ethics, Governance, Organizational Effectiveness, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      686 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

    • Supervised Machine Learning: Regression: IBM
    • ChatGPT - Usos y Estrategias: Tecnológico de Monterrey
    • Data Analyst Career Guide and Interview Preparation: IBM
    • Automating Real-World Tasks with Python: Google
    • AI for Medical Prognosis : DeepLearning.AI
    • Practical Data Science with MATLAB: MathWorks
    • Practical Machine Learning: Johns Hopkins University
    • Cybersecurity Compliance Framework, Standards & Regulations: IBM
    • Stay Ahead of the AI Curve: Google
    • Social and Economic Networks: Models and Analysis: Stanford University

    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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