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Results for "data management"


  • Status: Free Trial
    Free Trial
    G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Model Training, Random Forest Algorithm, Model Optimization, Predictive Modeling, Model Evaluation, Python Programming, Performance Tuning, Classification Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    640 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Deep Learning Model Engineering and Optimization

    Skills you'll gain: Model Optimization, Deep Learning, PyTorch (Machine Learning Library), Model Training, Model Deployment, AI Workflows, Convolutional Neural Networks, Machine Learning Methods, Model Evaluation, Applied Machine Learning, Performance Tuning, Network Model, Artificial Neural Networks, Technical Communication

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    The R Programming Environment

    Skills you'll gain: R (Software), Tidyverse (R Package), Web Scraping, Data Manipulation, Data Wrangling, R Programming, Data Transformation, Memory Management, Data Cleansing, Data Science, Statistical Programming, Data Integration, Data Processing, Text Mining, Data Import/Export, Web Services, Data Analysis, Data Structures, Application Programming Interface (API)

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    LearnKartS

    Deploy, Test & Secure AI Workflows with n8n

    Skills you'll gain: Retrieval-Augmented Generation, AI Security, AI Workflows, Model Context Protocol, Application Deployment, AI Orchestration, System Monitoring, Security Controls, Prompt Engineering, Containerization, Automation, Cloud Deployment, Data Migration, Model Evaluation, Docker (Software), Verification And Validation, Configuration Management, Debugging

    Beginner · Course · 1 - 4 Weeks

  • Status: Bestseller
    Bestseller
    I

    IBM

    Applied Software Engineering Fundamentals

    Skills you'll gain: Unit Testing, Software Development Life Cycle, Linux Commands, Software Architecture, Bash (Scripting Language), Shell Script, Git (Version Control System), GitHub, Full-Stack Web Development, Flask (Web Framework), Software Design, Version Control, File Management, Unix Shell, Web Development, Linux, Application Deployment, Data Import/Export, Python Programming, NumPy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    52K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    T

    The State University of New York

    Practical Time Series Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, R (Software), Forecasting, R Programming, Statistical Analysis, Model Evaluation, Data Analysis, Statistical Programming, Data Visualization, Statistical Visualization, Statistical Software, Mathematical Modeling, Statistical Methods, Statistical Modeling, Predictive Analytics, Predictive Modeling, Correlation Analysis, Descriptive Statistics, Statistical Inference, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.7K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Machine Learning Engineer: ML and Deep Learning Models

    Skills you'll gain: Supervised Learning, Model Optimization, PyTorch (Machine Learning Library), Fine-tuning, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Autoencoders, Machine Learning Methods, Machine Learning Software, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Chegg Skills

    Practical Prompt Engineering with AI

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Fine-tuning, Deep Learning, Keras (Neural Network Library), Model Training, Model Optimization, Applied Machine Learning, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.7K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Agentic systems, Markov Model, Decision Intelligence, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Creative Designing in Power BI

    Skills you'll gain: Data Storytelling, Dashboard, Dashboard Creation, Power BI, Data Presentation, Data Visualization, Interactive Data Visualization, Data Visualization Software, Microsoft Power Platform, Creative Design, Data-Driven Decision-Making, Data Analysis, Design, Design Elements And Principles, Geospatial Mapping

    4.4
    Rating, 4.4 out of 5 stars
    ·
    382 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Program Managers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, Program Management, Risk Management, Stakeholder Engagement, Project Management Institute (PMI) Methodology, Stakeholder Analysis, Strategic Decision-Making, AI literacy, Decision Intelligence, Stakeholder Management, AI Integrations, Artificial Intelligence and Machine Learning (AI/ML), Augmented and Virtual Reality (AR/VR), Governance, Model Evaluation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

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

  • The Nuts and Bolts of Machine Learning: Google
  • Deep Learning Model Engineering and Optimization: Coursera
  • The R Programming Environment: Johns Hopkins University
  • Deploy, Test & Secure AI Workflows with n8n: LearnKartS
  • Applied Software Engineering Fundamentals: IBM
  • Practical Time Series Analysis: The State University of New York
  • Machine Learning Engineer: ML and Deep Learning Models: Coursera
  • Practical Prompt Engineering with AI: Chegg Skills
  • TensorFlow: Advanced Techniques: DeepLearning.AI
  • Fundamentals of Reinforcement Learning: University of Alberta

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