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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
    Free Trial
    U

    University of Minnesota

    Analytics for Decision Making

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Simulations, Operations Research, Probability Distribution, Mathematical Modeling, Supply Chain, Probability, Predictive Modeling, Data Preprocessing, Business Modeling, Business Analytics, Workforce Management, Analytics, Regression Analysis, Forecasting, Excel Formulas, Data Modeling, Microsoft Excel, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    297 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Business Analyst

    Skills you'll gain: Risk Mitigation, Business Analysis, Business Process Modeling, Data Storytelling, Risk Analysis, Project Scoping, Process Flow Diagrams, Stakeholder Analysis, Process Optimization, Requirements Management, Prompt Engineering, Risk Management, Stakeholder Management, Digital Transformation, Interactive Data Visualization, Responsible AI, Excel Formulas, Microsoft Excel, Business Analytics, Process Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    14K reviews

    Beginner · Professional Certificate · 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, 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
    D

    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Transfer Learning, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Artificial Neural Networks, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Software Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Data Ethics, Software Development, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Application Security, DevSecOps, AI Workflows, Software Engineering, AI Personalization, Machine Learning, Context Management, Decision Making

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

    Intermediate · Specialization · 1 - 3 Months

  • P

    Packt

    Alteryx for Beginners

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

    4.2
    Rating, 4.2 out of 5 stars
    ·
    27 reviews

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Autoencoders, Unsupervised Learning, Tensorflow, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning, Computer Vision, Model Evaluation, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning in the Enterprise

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Google Cloud Platform, AI Workflows, Data Management, Data Governance, Tensorflow, Data Preprocessing, Data Pipelines, Machine Learning, Predictive Modeling, Model Evaluation, Cloud Computing, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Project: Generative AI Applications with RAG and LangChain

    Skills you'll gain: Vector Databases, LLM Application, Retrieval-Augmented Generation, Generative AI, Embeddings, Document Management, Natural Language Processing, User Interface (UI)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    217 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Product Owner

    Skills you'll gain: AI Product Strategy, User Story, Sprint Retrospectives, Backlogs, Agile Product Development, Agile Software Development, Scrum (Software Development), Stakeholder Communications, Agile Methodology, Kanban Principles, Responsible AI, Generative AI, Product Roadmaps, Virtual Teams, Information Technology, Agile Project Management, Computer Hardware, ChatGPT, Stakeholder Management, Sprint Planning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.3K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    846 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Foundation Models and Platforms

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), OpenAI, Hugging Face, Large Language Modeling, Prompt Engineering, IBM Cloud, Artificial Neural Networks, Deep Learning, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    310 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Analytics for Decision Making: University of Minnesota
  • IBM Business Analyst: IBM
  • Rust Programming: Duke University
  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
  • Generative AI for Software Developers: IBM
  • Alteryx for Beginners: Packt
  • Deep Learning with Keras and Tensorflow: IBM
  • Machine Learning in the Enterprise: Google Cloud
  • Project: Generative AI Applications with RAG and LangChain: IBM
  • IBM Product Owner: IBM

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