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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


  • 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

  • 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

  • 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

  • Status: Top AI Program
    Top AI Program
    A

    Amazon Web Services

    Fundamentals of Machine Learning and Artificial Intelligence

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, AI Enablement, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, Machine Learning, Digital Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.9K reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of Minnesota

    Recommender Systems

    Skills you'll gain: AI Personalization, Model Evaluation, Machine Learning Algorithms, Taxonomy, Decision Support Systems, Business Metrics, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Benchmarking, Data Validation, Exploratory Data Analysis, A/B Testing, Analysis, User Feedback, Predictive Modeling

    4.3
    Rating, 4.3 out of 5 stars
    ·
    832 reviews

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning, Supervised Learning, Applied Machine Learning, Data Science, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    307 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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
    ·
    311 reviews

    Beginner · Course · 1 - 4 Weeks

  • R

    Rice University

    Business Applications of Hypothesis Testing and Confidence Interval Estimation

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Data Analysis, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • F

    Fractal Analytics

    Leadership Strategies for AI and Generative AI

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Human Centered Design, Problem Solving, AI Security, AI Enablement, Business Leadership, Strategic Leadership, AI Product Strategy, Generative Adversarial Networks (GANs), Business Strategy, Ethical Standards And Conduct, Analytical Skills, Strategic Thinking, Artificial Intelligence, Critical Thinking, Design Thinking, Thought Leadership, Project Implementation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    206 reviews

    Beginner · Specialization · 3 - 6 Months

  • M

    McMaster University

    Experimentation for Improvement

    Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Pareto Chart, Process Improvement and Optimization, Simulation and Simulation Software, Process Optimization, Statistical Software, R Programming, Data Analysis, Statistical Analysis, R (Software), Case Studies

    4.9
    Rating, 4.9 out of 5 stars
    ·
    930 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Generative AI: Impact, Considerations, and Ethical Issues

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Business Ethics, Legal Risk, Socioeconomics, AI Security, Social Impact, Information Privacy, Accountability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    311 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Generative AI Essentials: Overview and Impact

    Skills you'll gain: Generative AI, ChatGPT, Large Language Modeling, Prompt Engineering, Responsible AI, Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Social Impact, Business Economics, Culture, Business Ethics, Law, Regulation, and Compliance, Intellectual Property

    4.7
    Rating, 4.7 out of 5 stars
    ·
    331 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Deep Learning with Keras and Tensorflow: IBM
  • Rust Programming: Duke University
  • Business Intelligence Concepts, Tools, and Applications: University of Colorado System
  • Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
  • Recommender Systems: University of Minnesota
  • Machine Learning Introduction for Everyone: IBM
  • Generative AI: Foundation Models and Platforms: IBM
  • Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
  • Leadership Strategies for AI and Generative AI: Fractal Analytics
  • Experimentation for Improvement: McMaster University

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