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  • Statistical Programming

Results for "statistical programming"


  • Status: New
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    E

    EDUCBA

    Bayesian Statistics: Excel to Python A/B Testing

    Skills you'll gain: Bayesian Statistics, A/B Testing, Microsoft Excel, Statistical Machine Learning, Statistical Modeling, Predictive Analytics, Business Analytics, Data Analysis, Probability & Statistics, Decision Making, Health Informatics, Statistical Programming, Markov Model

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Amazon Event Bridge and Lambda

    Skills you'll gain: AWS CloudFormation, Amazon Web Services, Amazon Elastic Compute Cloud, Event-Driven Programming, Serverless Computing, Event Monitoring, Software Engineering

    4.8
    Rating, 4.8 out of 5 stars
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    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Interviewing for DS/AI Roles

    Skills you'll gain: Goal Setting, Interviewing Skills, Professional Networking, Artificial Intelligence and Machine Learning (AI/ML), Negotiation, Workforce Planning, Professional Development, LinkedIn, Artificial Intelligence, Machine Learning, Talent Sourcing, Compensation and Benefits, Data Science, Data Analysis, Recruitment, Data Architecture, Presentations, Technical Consulting, Big Data, Job Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    20 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis

    4
    Rating, 4 out of 5 stars
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    10 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Onboarding: Automating Employee Journeys

    Skills you'll gain: Responsible AI, Data Ethics, HR Tech, AI Personalization, Automation, Employee Onboarding, Human Resource Strategy, AI Enablement, Generative AI, Business Ethics, User Feedback, Document Management, Personalized Service, ChatGPT, Employee Engagement, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    C

    Coursera

    UI Design using Material Design 3: Designing a Reminder App

    Skills you'll gain: User Interface (UI) Design, Figma (Design Software), UI Components, User Experience Design, Layout Design, Prototyping, Wireframing, Mobile Development

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    T

    The State University of New York

    Decentralized Finance (DeFi) Essentials & Foundations

    Skills you'll gain: Blockchain, FinTech, Cryptography, Digital Assets, Payment Systems, Distributed Computing, Identity and Access Management, Web Applications, Transaction Processing, Emerging Technologies, Application Programming Interface (API), Scalability, Technical Standard

    Beginner · Course · 1 - 4 Weeks

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    I

    IBM

    Architecting Applications for IBM Z and Cloud

    Skills you'll gain: Containerization, Restful API, Event-Driven Programming, DevOps, Data Integration, z/OS, Solution Architecture, Cloud Applications, Microservices, Enterprise Architecture, IBM Cloud, Application Lifecycle Management, Cloud-Native Computing, Application Design, CI/CD, Systems Integration, Software Architecture, Mainframe Computing

    4.7
    Rating, 4.7 out of 5 stars
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    11 reviews

    Beginner · Course · 1 - 3 Months

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    F

    Fractal Analytics

    How to Build a Diffusion Model - An Introduction

    Skills you'll gain: Model Evaluation, Generative AI, Data Preprocessing, Transfer Learning, PyTorch (Machine Learning Library), Machine Learning, Convolutional Neural Networks, Image Quality

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Northeastern University

    Application Engineering and Development Part 1

    Skills you'll gain: Java, Software Architecture, Object Oriented Programming (OOP), Data Structures, Software Design, Computer Programming, Programming Principles, Application Development, UI Components

    Mixed · Course · 1 - 3 Months

  • Status: New
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    E

    EDUCBA

    Deep Learning with R: Build & Predict Neural Networks

    Skills you'll gain: Plot (Graphics), Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Modeling, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Data Preprocessing, Performance Testing

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Prescriptive Analytics

    Skills you'll gain: Operations Research, Analytics, Business Analytics, Process Optimization, Data-Driven Decision-Making, Strategic Decision-Making, Data Science, Feature Engineering, Complex Problem Solving, Logistics, Model Evaluation, Python Programming, Decision Making, Cloud Computing

    Intermediate · Course · 1 - 3 Months

Searches related to statistical programming

r programming for statistics and data science
r programming statistics
1…365366367…480

In summary, here are 10 of our most popular statistical programming courses

  • Bayesian Statistics: Excel to Python A/B Testing: EDUCBA
  • Amazon Event Bridge and Lambda: Coursera
  • Interviewing for DS/AI Roles: University of California, Irvine
  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • GenAI for Onboarding: Automating Employee Journeys: Coursera
  • UI Design using Material Design 3: Designing a Reminder App: Coursera
  • Decentralized Finance (DeFi) Essentials & Foundations: The State University of New York
  • Architecting Applications for IBM Z and Cloud: IBM
  • How to Build a Diffusion Model - An Introduction: Fractal Analytics
  • Application Engineering and Development Part 1: Northeastern University

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