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    • Data Wrangling

    Data Wrangling Courses Online

    Master data wrangling techniques for cleaning and transforming data. Learn to use tools like Python, R, and Excel for data preparation.

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    Explore the Data Wrangling Course Catalog

    • Status: Free Trial
      Free Trial
      C

      California Institute of the Arts

      Game Design: Art and Concepts

      Skills you'll gain: Animation and Game Design, Game Design, Animations, Prototyping, Conceptual Design, Storytelling, Software Design Documents, Ideation, Visualization (Computer Graphics), Storyboarding, Video Game Development, Virtual Environment, Art History, Technical Design, Usability Testing, Creative Design, Design Strategies, Graphic and Visual Design, Design, Design Elements And Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Getting Started with SAS Programming

      Skills you'll gain: SAS (Software), Data Import/Export, Data Validation, Data Access, Data Manipulation, Exploratory Data Analysis, Data Analysis, SQL, Data Presentation, Microsoft Excel, Descriptive Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      C for Everyone: Programming Fundamentals

      Skills you'll gain: Debugging, C (Programming Language), Code Review, Data Structures, Computer Programming, Program Development, Computer Science, Computational Thinking, Integrated Development Environments, Software Technical Review, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.6K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Accelerated Computer Science Fundamentals

      Skills you'll gain: C++ (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Graph Theory, Development Environment, Engineering Software, Computer Programming, Software Engineering, Algorithms, Debugging, Program Development, Database Systems, Database Theory, Network Routing, Theoretical Computer Science, Data Storage

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Fundamentals of Data Visualization

      Skills you'll gain: Data Visualization Software, Interactive Data Visualization, Visualization (Computer Graphics), User Centered Design, Statistical Visualization, Data Presentation, Usability, Data Storytelling, Human Computer Interaction, User Research, Usability Testing, Requirements Analysis, Design Elements And Principles

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Washington

      Computational Neuroscience

      Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Excel Skills for Business: Advanced

      Skills you'll gain: Dashboard, Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Analysis Expressions (DAX), Data Cleansing, Finance, Business Intelligence Software, Data Validation, Financial Modeling, Data Visualization, Loans, Depreciation, Automation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      From Data to Insights with Google Cloud

      Skills you'll gain: Looker (Software), Dashboard, SQL, Data Transformation, Big Data, Google Cloud Platform, Applied Machine Learning, Data Cleansing, Machine Learning, Cloud Infrastructure, Data Import/Export, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Data Access, Data Warehousing, Supervised Learning, Database Architecture and Administration, Data Visualization Software, Predictive Modeling, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      N

      New York Institute of Finance

      Risk Management

      Skills you'll gain: Credit Risk, Operational Risk, Risk Management, Risk Management Framework, Business Risk Management, Risk Modeling, Risk Mitigation, Financial Market, Enterprise Risk Management (ERM), Risk Appetite, Risk Control, Derivatives, Governance, Portfolio Management, Risk Analysis, Capital Markets, Investment Management, Financial Analysis, Market Data, Key Performance Indicators (KPIs)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      G

      Genentech

      Data Science with Real World Data in Pharma

      Skills you'll gain: Pharmaceuticals, Clinical Research, Clinical Trials, Statistical Analysis, Real Time Data, Data Analysis, Statistical Methods, Biostatistics, Data Science, Epidemiology, Health Informatics, Healthcare Industry Knowledge, Data Quality

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Survey Data Collection and Analytics

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Surveys, Survey Creation, Research Methodologies, Data Collection, Statistical Analysis, Statistical Software, Interviewing Skills, Data Integration, Data Ethics, Research Design, Stata, R Programming, Data Quality, Statistical Modeling, Qualitative Research, Descriptive Statistics, Statistical Programming, Data Cleansing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Source Systems, Data Ingestion, and Pipelines

      Skills you'll gain: Apache Airflow, Data Pipelines, Data Integration, AWS Kinesis, Infrastructure as Code (IaC), Terraform, Extract, Transform, Load, Amazon CloudWatch, Data Quality, Amazon Web Services, CI/CD, Data Processing, Data Transformation, NoSQL

      4.8
      Rating, 4.8 out of 5 stars
      ·
      106 reviews

      Intermediate · Course · 1 - 4 Weeks

    Data Wrangling learners also search

    Data
    R
    Data Science
    Data Analytics
    Data Analysis
    R Programming
    Applied Data Science
    Beginner Data Science
    1…404142…604

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

    • Game Design: Art and Concepts: California Institute of the Arts
    • Getting Started with SAS Programming: SAS
    • C for Everyone: Programming Fundamentals: University of California, Santa Cruz
    • Accelerated Computer Science Fundamentals: University of Illinois Urbana-Champaign
    • Fundamentals of Data Visualization: University of Colorado Boulder
    • Computational Neuroscience: University of Washington
    • Excel Skills for Business: Advanced: Macquarie University
    • From Data to Insights with Google Cloud: Google Cloud
    • Risk Management: New York Institute of Finance
    • Data Science with Real World Data in Pharma: Genentech

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Data Wrangling

    Data wrangling is important to learn if you want to be able to gather, select, and transform data to answer a question or solve a problem. This is essential for two reasons. First, the work of data wrangling can speed the time to develop and test models. Second, it allows for faster analysis and more accurate conclusions. Data wrangling makes data more usable in an organization. Understanding it can help your work better and make sounder decisions based on the data. Understanding it can help you with other data science courses, lead to professional certifications, or simply help you do better at your job.‎

    Careers that use data wrangling are usually in data science, data analysis, or data engineering. Data wrangling is usually part of an operational role that includes A/B testing, data visualization, model selection, and debugging. Some people who learn data wrangling go on to study advanced computer science, and others just want to understand how and why data is segmented and analyzed. Jobs in data wrangling call for the use of many different programming languages. Some organizations use SQL, others use Python, and some use pivot tables and other advanced Microsoft Excel spreadsheet functions. As more and more work will be using big data, the ability to clean and manipulate data will become more important.‎

    People who are best suited for roles in data wrangling at the entry-level have basic computer literacy, high-school math, comfort with numbers, and willingness to learn. Cleaning and manipulating data call for a sense of logic and order, too. Many people manage data for presentations to others, so the ability to design slide decks and reports may come into play. Data wrangling is a form of communication with others in the organization who want problems solved and need the information to do it. Good data wranglers have an interest in helping others use data better. Their work in debugging and data visualization contributes to the overall organization's success.‎

    Online Data Wrangling courses offer a convenient and flexible way to enhance your knowledge or learn new Data Wrangling skills. Choose from a wide range of Data Wrangling courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Data Wrangling, 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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