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  • Data Manipulation

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
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    Tableau Learning Partner

    Introduction to Business Analytics

    Skills you'll gain: Data Literacy, Tableau Software, Business Analysis, Analytics, Business Analytics, Business Intelligence, Data Analysis, Data-Driven Decision-Making, Business Intelligence Software, Project Management, Descriptive Analytics, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    497 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Unit Testing, Software Development Life Cycle, Retrieval-Augmented Generation, Large Language Modeling, Software Architecture, Responsible AI, Computer Vision, LangChain, Responsive Web Design, Generative AI, IBM Cloud, Data Ethics, Data Import/Export, AI Workflows, Python Programming, Software Development, Machine Learning, Data Science

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    82K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization, Sampling (Statistics)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.6K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
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    C

    Coursera

    Boost Coding with Cursor AI

    Skills you'll gain: AI Security, Prompt Engineering, Code Review, Secure Coding, Open Web Application Security Project (OWASP), Integrated Development Environments, AI Workflows, Prompt Engineering Tools, DevSecOps, AI Enablement, Software Development, Development Environment, Git (Version Control System), GitHub, Building Codes, Scope Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    University of Pittsburgh

    Advanced Bayesian Methods and Applications

    Skills you'll gain: Bayesian Statistics, Data-Driven Decision-Making, Statistical Modeling, Predictive Analytics, Predictive Modeling, Applied Machine Learning, Markov Model, Statistical Methods, Data Science, Health Informatics, Statistical Inference, Statistical Machine Learning, Statistical Programming, Regression Analysis, Statistical Analysis, Machine Learning, Machine Learning Algorithms, Python Programming, Probability Distribution, Computational Thinking

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Plot (Graphics), Seaborn, Matplotlib, Statistical Visualization, Cloud Computing, Jupyter, Dimensionality Reduction, Data Science, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Numerical Analysis, Python Programming, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
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    298 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    D

    DeepLearning.AI

    Apply Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Image Analysis, Generative Model Architectures, Convolutional Neural Networks, Responsible AI, Data Ethics, Model Training, Information Privacy, Data Synthesis

    4.8
    Rating, 4.8 out of 5 stars
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    548 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
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    839 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Meta

    Meta iOS Developer

    Skills you'll gain: React Native, iOS Development, Core Data (Software), Restful API, Version Control, User Research, UI/UX Research, Usability Testing, Apple iOS, Jest (JavaScript Testing Framework), Data Structures, Swift Programming, User Interface (UI), Unix Commands, Apple Xcode, Git (Version Control System), Persona (User Experience), GitHub, Mobile Development, Javascript

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.8K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Preview
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    I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Model Training, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    315 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Web Development Fundamentals

    Skills you'll gain: Django (Web Framework), Bootstrap (Front-End Framework), Responsive Web Design, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), Back-End Web Development, Relational Databases, Object Oriented Programming (OOP), Database Management Systems, HTML and CSS, Database Management, Code Reusability, Database Theory, SQL, Front-End Web Development, Unit Testing, MySQL, Computer Programming, Pseudocode, Communication

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Rust Programming

    Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), Jenkins, Application Deployment, DevOps, LLM Application, Continuous Integration, Hugging Face, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Command-Line Interface, Natural Language Processing, Computer Programming, Cloud Computing

    3.9
    Rating, 3.9 out of 5 stars
    ·
    306 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Introduction to Business Analytics: Tableau Learning Partner
  • IBM AI Developer: IBM
  • Probabilistic Graphical Models: Stanford University
  • Boost Coding with Cursor AI: Coursera
  • Advanced Bayesian Methods and Applications: University of Pittsburgh
  • Principal Component Analysis with NumPy: Coursera
  • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
  • Supervised Machine Learning: Regression: IBM
  • Meta iOS Developer: Meta
  • Machine Learning Introduction for Everyone: IBM

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