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  • Introduction To Data Science

Results for "introduction to data science"


  • Status: New
    New
    P

    Pearson

    Learn MLOps for Machine Learning

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, CI/CD, DevOps, Data Processing, Data Management, Machine Learning, Predictive Modeling, Automation, Data Pipelines, Applied Machine Learning, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Production Machine Learning Systems - Español

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Systems Architecture, Cloud Computing Architecture, Applied Machine Learning, Performance Tuning, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Statistical Inference, Data Processing, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    Operationalizing ML Models: MLOps for Scalable AI

    Skills you'll gain: MLOps (Machine Learning Operations), CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Containerization, Scalability, Continuous Integration, DevOps, Data Infrastructure, IT Infrastructure, Infrastructure Architecture, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Continuous Monitoring, Real Time Data, Version Control

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Michigan

    Problem Solving Using Computational Thinking

    Skills you'll gain: Computational Thinking, Programming Principles, Problem Solving, Computer Science, Disaster Recovery, Algorithms, Computer Programming, Public Health

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    HTML, CSS, and Javascript for Web Developers

    Skills you'll gain: HTML and CSS, Javascript, Responsive Web Design, Ajax, Front-End Web Development, Web Design, Web Applications, Hypertext Markup Language (HTML), Browser Compatibility, Web Development, Cascading Style Sheets (CSS), Usability, Cross Platform Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    17K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Train Machine Learning Models

    Skills you'll gain: Jupyter, Unsupervised Learning, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Regression Analysis, Machine Learning, Supervised Learning, Statistical Modeling, Feature Engineering, Forecasting, Performance Tuning, Performance Metric

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Duke University

    Inferenzstatistik

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Statistics, Data Analysis, Probability & Statistics, Statistical Methods, Data Analysis Software, Statistical Software, R Programming, Sampling (Statistics), Probability Distribution

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Simulation for Digital Transformation

    Skills you'll gain: Simulation and Simulation Software, Digital Transformation, Systems Thinking, Complex Problem Solving, Operations Research, Predictive Analytics, Data-Driven Decision-Making, Verification And Validation, Process Optimization, Data Integration, Risk Management, Python Programming, Event-Driven Programming, Probability & Statistics, Performance Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Coding for Everyone: C and C++

    Skills you'll gain: C++ (Programming Language), C (Programming Language), Object Oriented Programming (OOP), Programming Principles, Software Design Patterns, Debugging, Computer Programming, Object Oriented Design, Algorithms, Data Structures, Pseudocode, Command-Line Interface, Graph Theory, Artificial Intelligence, File Systems, Game Design

    4.5
    Rating, 4.5 out of 5 stars
    ·
    9.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM DevOps, Cloud, and Agile Foundations

    Skills you'll gain: Agile Software Development, Cloud Computing Architecture, Cloud Services, Agile Methodology, DevOps, Kanban Principles, Cloud Security, Cloud Infrastructure, Cloud Platforms, Cloud Hosting, Cloud Engineering, Cloud Solutions, Cloud Computing, Agile Project Management, Cloud-Native Computing, User Story, Sprint Retrospectives, CI/CD, Test Driven Development (TDD), Scrum (Software Development)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    B

    Birla Institute of Technology & Science, Pilani

    Object Oriented Programming

    Skills you'll gain: Java Programming, Object Oriented Programming (OOP), Programming Principles, Computer Programming, Data Structures, Software Engineering, Unit Testing, Debugging, OS Process Management, File Management, Performance Tuning

    Intermediate · Course · 1 - 3 Months

Searches related to introduction to data science

introduction to data science in python
introduction to data science techniques
introduction to data science (public policy)
introduction to r programming for data science
introduction to data science and scikit-learn in python
introduction to bayesian statistics for data science
introduction to clinical data science
1…362363364…834

In summary, here are 10 of our most popular introduction to data science courses

  • Learn MLOps for Machine Learning: Pearson
  • Production Machine Learning Systems - Español: Google Cloud
  • Operationalizing ML Models: MLOps for Scalable AI: Coursera
  • Problem Solving Using Computational Thinking: University of Michigan
  • HTML, CSS, and Javascript for Web Developers: Johns Hopkins University
  • Train Machine Learning Models: CertNexus
  • Inferenzstatistik: Duke University
  • Simulation for Digital Transformation: Dartmouth College
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Coding for Everyone: C and C++: University of California, Santa Cruz

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