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  • Statistics For Data Science

Statistics For Data Science Courses

Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.


Popular Statistics For Data Science Courses and Certifications


  • Status: Free Trial
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    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Probability Distribution, Statistical Methods, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    303 reviews

    Advanced · Course · 1 - 3 Months

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    C

    Coursera

    Advanced Multi-Agent AI System

    Skills you'll gain: LangGraph, AI Orchestration, System Monitoring, CrewAI, Agentic Workflows, Continuous Monitoring, Agentic systems, Enterprise Application Management, Event Monitoring, Artificial Intelligence and Machine Learning (AI/ML), Site Reliability Engineering, AI Enablement, Model Deployment, Generative AI Agents, Generative Model Architectures, AI Security, Systems Architecture, Software Architecture, Application Deployment, Middleware

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Fine-Tune & Optimize Generative AI Models

    Skills you'll gain: Hugging Face, Large Language Modeling, MLOps (Machine Learning Operations), Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, Transfer Learning, Applied Machine Learning, AI Personalization, Model Deployment, Model Evaluation, Responsible AI, Performance Tuning, Model Based Systems Engineering, Program Evaluation, Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    SkillUp

    AI Technologies in Healthcare

    Skills you'll gain: Healthcare 5.0, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Jupyter, LLM Application, Generative Model Architectures, AI Product Strategy, Model Evaluation, Multimodal Prompts, Health Systems, Health Information Management, Data Preprocessing, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
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    Coursera

    Optimize Java Memory for ML Performance

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Containerization, Performance Tuning, Docker (Software), Java, Application Performance Management, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Real-world End to End Machine Learning Ops on Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Model Deployment, Cloud Management, Kubernetes, Large Language Modeling, CI/CD, Cloud Deployment, Machine Learning Methods, Continuous Deployment, Tensorflow, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration, Feature Engineering, Containerization, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    R

    Real Madrid Graduate School Universidad Europea

    Conceptos imprescindibles - Requisitos para el análisis

    Skills you'll gain: Data Literacy, Technical Communication, Probability & Statistics, Web Scraping, Data Import/Export, JSON, Statistical Analysis, Pandas (Python Package), Analytical Skills, Descriptive Statistics, Data Manipulation, Probability, Data Collection, Data Capture, Restful API, Performance Measurement, Data Cleansing, Application Programming Interface (API)

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Cape Town

    Julia Scientific Programming

    Skills you'll gain: Jupyter, Statistical Analysis, Data Visualization, Plot (Graphics), Scientific Visualization, Exploratory Data Analysis, Data Manipulation, Data Science, Other Programming Languages, Statistical Hypothesis Testing, Computer Programming, Mathematical Modeling, Package and Software Management

    4.4
    Rating, 4.4 out of 5 stars
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    436 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Prompt Engineering For Everyone with ChatGPT and GPT-4

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Virginia

    Artificial Intelligence in Marketing

    Skills you'll gain: Marketing Strategies, Digital Transformation, AI Enablement, Marketing, Marketing Analytics, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Digital Marketing, Business Strategy, Case Studies, Competitive Analysis, Network Analysis, Customer experience improvement, Customer Engagement

    4.6
    Rating, 4.6 out of 5 stars
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    347 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Java and Spring Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Large Language Modeling, Responsible AI, Model Deployment, AI Security, Restful API, Application Deployment, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, DevSecOps, CI/CD, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Java Programming

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

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Recommender Systems: Non-Personalized and Content-Based

    Skills you'll gain: Taxonomy, Spreadsheet Software, Machine Learning, Predictive Analytics, Microsoft Excel, Persona Development, Information Architecture, Text Mining, Descriptive Statistics, Algorithms, Computer Programming, Java Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    658 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular statistics for data science courses

  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Advanced Multi-Agent AI System: Coursera
  • Fine-Tune & Optimize Generative AI Models: Coursera
  • AI Technologies in Healthcare: SkillUp
  • Optimize Java Memory for ML Performance: Coursera
  • Real-world End to End Machine Learning Ops on Google Cloud: Packt
  • Conceptos imprescindibles - Requisitos para el análisis : Real Madrid Graduate School Universidad Europea
  • Julia Scientific Programming: University of Cape Town
  • Prompt Engineering For Everyone with ChatGPT and GPT-4: Packt
  • Artificial Intelligence in Marketing: University of Virginia

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