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Data Manipulation Courses

Data manipulation courses can help you learn data cleaning, transformation techniques, and exploratory data analysis. You can build skills in using functions for data aggregation, filtering datasets, and visualizing information effectively. Many courses introduce tools like Python, R, and SQL, that support handling large datasets and performing complex analyses. You'll also explore libraries such as Pandas and NumPy, which streamline data manipulation tasks and enhance your ability to derive insights from raw data.

Popular Data Manipulation Courses and Certifications


  • Status: Free Trial
    Free Trial
    K

    Knowledge Accelerators

    From Excel to Power BI

    Skills you'll gain: Power BI, Dashboard Creation, Business Intelligence, Business Intelligence Software, Data Visualization, Business Reporting, Data Presentation, Business Analytics, Data Analysis, Data Synthesis, Excel Formulas, Data Manipulation, Collaborative Software, Trend Analysis, Data Management, Data Quality

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Methods and Statistics in Social Sciences

    Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Science and Research, Research Design, Sampling (Statistics), Research Reports, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Probability & Statistics, Social Sciences, Statistical Methods, Regression Analysis, Statistical Inference, Statistics, R Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Model Training, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Model Evaluation, Data Preprocessing, Feature Engineering, Model Optimization, Statistical Analysis, Statistical Methods, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    841 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Job Ready
    Job Ready
    M

    Meta

    Meta Full Stack Developer: Front-End & Back-End from Scratch

    Skills you'll gain: Django (Web Framework), Bootstrap (Front-End Framework), Version Control, Restful API, Responsive Web Design, Unix Commands, Jest (JavaScript Testing Framework), JSON, Web Development Tools, Git (Version Control System), Hypertext Markup Language (HTML), Back-End Web Development, React.js, API Testing, HTML and CSS, GitHub, Relational Databases, Object Oriented Programming (OOP), Mobile Development, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Advanced SAS Programming Techniques

    Skills you'll gain: SAS (Software), Data Processing, Perl (Programming Language), Statistical Programming, Data Structures, Data Manipulation, Data Transformation, Code Reusability, Data Storage, Data Presentation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    96 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Top AI Program
    Top AI Program
    G

    Google Cloud

    Introduction to Generative AI Learning Path

    Skills you'll gain: Responsible AI, LLM Application, Generative Model Architectures, AI literacy, AI Product Strategy, Deep Learning, Statistical Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15K reviews

    Intermediate · Specialization · 1 - 3 Months

  • P

    Packt

    Alteryx for Beginners

    Skills you'll gain: Alteryx, Spatial Data Analysis, Spatial Analysis, Data Cleansing, Data Import/Export, Data Manipulation, Geographic Information Systems, Data Wrangling, Data Processing, Data Preprocessing, Data Integration, Data Transformation, Data Presentation, Document Management, Data Analysis Software, Spreadsheet Software, Data Analysis, Microsoft Excel, Text Mining, Data Visualization Software

    4.2
    Rating, 4.2 out of 5 stars
    ·
    30 reviews

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Inferential Statistics

    Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Correlation Analysis, Statistical Programming, Statistical Modeling, Logistic Regression, Predictive Modeling

    4.4
    Rating, 4.4 out of 5 stars
    ·
    612 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Java Programming and Software Engineering Fundamentals

    Skills you'll gain: File I/O, UI Components, Object Oriented Design, Java Programming, Software Design, User Interface (UI) Design, Debugging, Web Design and Development, Software Engineering, Code Reusability, Hypertext Markup Language (HTML), Computer Programming, Program Development, Event-Driven Programming, Bioinformatics, Encryption, Javascript, Algorithms, Data Analysis, Cascading Style Sheets (CSS)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Identifying Patient Populations

    Skills you'll gain: Data Manipulation, Informatics, Clinical Informatics, Data Science, Health Informatics, Clinical Data Management, Classification Algorithms, Analytics, Model Evaluation, Data Validation, Performance Testing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    40 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Colorado Boulder

    Introduction to Python for Scientific Computing

    Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Code Reusability, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Data Analysis, Computer Programming, Model Optimization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Model Training, Machine Learning, Machine Learning Methods, Statistical Machine Learning, Model Evaluation, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Classification Algorithms, Mathematical Modeling, Statistical Methods, Probability & Statistics, Algorithms, Statistical Inference

    4.9
    Rating, 4.9 out of 5 stars
    ·
    937 reviews

    Beginner · Course · 1 - 3 Months

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

  • From Excel to Power BI: Knowledge Accelerators
  • Methods and Statistics in Social Sciences: University of Amsterdam
  • Supervised Machine Learning: Regression: IBM
  • Meta Full Stack Developer: Front-End & Back-End from Scratch: Meta
  • Advanced SAS Programming Techniques: SAS
  • Introduction to Generative AI Learning Path: Google Cloud
  • Alteryx for Beginners: Packt
  • Inferential Statistics: University of Amsterdam
  • Java Programming and Software Engineering Fundamentals: Duke University
  • Identifying Patient Populations: University of Colorado System

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