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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.


More to explore:

Popular Data Manipulation Courses and Certifications


  • 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, Hugging Face, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Amazon Web Services, Command-Line Interface, Natural Language Processing, Computer Programming, Cloud Computing

    3.9
    Rating, 3.9 out of 5 stars
    ·
    281 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Artificial Intelligence, Computer Vision, Dimensionality Reduction, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    291 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Human Factors in AI

    Skills you'll gain: Responsible AI, Data Ethics, Human Computer Interaction, User Experience Design, Human Centered Design, Human Factors, AI Product Strategy, Personally Identifiable Information, Information Privacy, General Data Protection Regulation (GDPR), Artificial Intelligence, Design Thinking, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    209 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    S

    Simplilearn

    Web Application Security Crash Training

    Skills you'll gain: Open Web Application Security Project (OWASP), Secure Coding, Operational Risk, Application Security, Security Requirements Analysis, DevSecOps, Security Testing, Threat Modeling, Cyber Attacks, Web Development, Web Applications, Security Management, Vulnerability Assessments, Security Software, Security Engineering, Security Controls, Scenario Testing, Authorization (Computing), Software Development, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Business Intelligence (BI) Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, Data Visualization, Dashboard, Real Time Data, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, Responsible AI, AI Personalization, SQL, Data Analysis, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    SAS Statistical Business Analyst

    Skills you'll gain: Logistic Regression, SAS (Software), Predictive Modeling, Model Evaluation, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Statistical Modeling, Regression Analysis, Statistical Methods, Probability & Statistics, Classification And Regression Tree (CART), Big Data, Plot (Graphics), Data Analysis, Model Deployment, Statistical Inference, Data Preprocessing, Statistical Machine Learning, Feature Engineering

    4.6
    Rating, 4.6 out of 5 stars
    ·
    228 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Engineer

    Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Kubernetes, Google Cloud Platform, Cloud Management, Prompt Engineering, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Cloud-Native Computing, Terraform, Cloud Applications, Cloud Computing Architecture, Cloud Services, Load Balancing, Application Deployment, Infrastructure as Code (IaC), Virtual Machines, Cloud Computing, Virtual Networking

    4.7
    Rating, 4.7 out of 5 stars
    ·
    59K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    E

    Edge Impulse

    Computer Vision with Embedded Machine Learning

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Model Deployment, Data Ethics, Data Preprocessing, Machine Learning, Computer Programming, Model Evaluation, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    162 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra from Elementary to Advanced

    Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Advanced Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    224 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Experimental Design Basics

    Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Hypothesis Testing, Design Strategies, Probability & Statistics, Statistical Modeling, Descriptive Statistics, Quality Control, Variance Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    311 reviews

    Intermediate · Course · 1 - 3 Months

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

    Google

    Hello, Python!

    Skills you'll gain: Package and Software Management, Data Science, Computer Programming, Mathematical Software

    4.8
    Rating, 4.8 out of 5 stars
    ·
    74 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Business Intelligence Concepts, Tools, and Applications

    Skills you'll gain: Business Intelligence, Decision Support Systems, Data Visualization, Performance Measurement, Data Warehousing, Operational Performance Management, MicroStrategy, Business Analytics, Dashboard, Key Performance Indicators (KPIs), Competitive Intelligence, Performance Analysis, Data Mart, Business Strategies, Business Reporting, Ad Hoc Analysis, Data Analysis, Decision Making

    4.5
    Rating, 4.5 out of 5 stars
    ·
    650 reviews

    Mixed · Course · 1 - 3 Months

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

  • Rust Programming: Duke University
  • Deep Learning and Reinforcement Learning: IBM
  • Human Factors in AI: Duke University
  • Web Application Security Crash Training: Simplilearn
  • Generative AI for Business Intelligence (BI) Analysts: IBM
  • SAS Statistical Business Analyst: SAS
  • Preparing for Google Cloud Certification: Cloud Engineer: Google Cloud
  • Computer Vision with Embedded Machine Learning: Edge Impulse
  • Linear Algebra from Elementary to Advanced: Johns Hopkins University
  • Experimental Design Basics: Arizona State University

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