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    • Statistics For Data Science

    Statistics for Data Science Courses Online

    Master statistics for data science applications. Learn about statistical techniques, data analysis, and machine learning models.

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    Explore the Statistics for Data Science Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Computer Simulations

      Skills you'll gain: Simulations, Social Sciences, Systems Thinking, Network Analysis, Computational Thinking, Sociology, Economics, Scientific Methods, Artificial Intelligence and Machine Learning (AI/ML), Computer Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      84 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Fundamentals of AI Agents Using RAG and LangChain

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI Agents, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), ChatGPT, Generative AI, Artificial Intelligence, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      136 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Building Generative AI-Powered Applications with Python

      Skills you'll gain: Large Language Modeling, Generative AI, OpenAI, Front-End Web Development, Web Applications, Prompt Engineering, IBM Cloud, Artificial Intelligence and Machine Learning (AI/ML), Web Development, Natural Language Processing, Application Development, Python Programming, User Interface (UI), Flask (Web Framework), Back-End Web Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      224 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Relational database systems

      Skills you'll gain: Database Systems, Relational Databases, Database Management, SQL, Databases, Database Design, Information Systems, MySQL, Query Languages, Data Modeling, Transaction Processing, MySQL Workbench, Information Systems Security, Performance Tuning, Conceptual Design

      4.4
      Rating, 4.4 out of 5 stars
      ·
      452 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      데이터 과학자의 도구 상자

      Skills you'll gain: Rmarkdown, Data Science, GitHub, Data Literacy, Version Control, Data Analysis, Big Data, R Programming, Git (Version Control System), Statistical Programming, Exploratory Data Analysis, Data Quality, Technical Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Fundamentals of Database Systems

      Skills you'll gain: Information Systems, Database Software, Database Systems, Database Design, Information Management, Databases, Relational Databases, Database Management, Data Management

      4.2
      Rating, 4.2 out of 5 stars
      ·
      30 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Introduction to R: Basic R syntax

      Skills you'll gain: R Programming, Arithmetic, Statistical Programming, Development Environment, Programming Principles, Data Import/Export

      4.5
      Rating, 4.5 out of 5 stars
      ·
      47 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Unsupervised Learning in Python

      Skills you'll gain: Unsupervised Learning, Anomaly Detection, Supervised Learning, Python Programming, Exploratory Data Analysis

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Deep Learning, Unsupervised Learning, Natural Language Processing, Time Series Analysis and Forecasting, Data Visualization, Supervised Learning, Data Ethics, Image Analysis, Machine Learning, Text Mining, Applied Machine Learning, Computer Vision, Data Processing, Artificial Intelligence, Scatter Plots, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      20 reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      SQL CASE Statements

      Skills you'll gain: PostgreSQL, SQL, Query Languages, Data Transformation, Data Manipulation, Database Development, Data Management

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      Applied Calculus with Python

      Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Graphing, Numerical Analysis, Python Programming, Advanced Mathematics, Mathematical Software, Mathematical Modeling, Derivatives, Programming Principles

      4.9
      Rating, 4.9 out of 5 stars
      ·
      42 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Automation & Advanced Techniques with Copilot in Excel

      Skills you'll gain: Excel Macros, Dashboard, Forecasting, Microsoft Copilot, Microsoft Excel, Predictive Modeling, UI Components, Visual Basic (Programming Language), Data Analysis Expressions (DAX), User Interface (UI), Automation, Debugging, Interactive Data Visualization, Productivity Software, Scenario Testing, Programming Principles

      4.6
      Rating, 4.6 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 4 Weeks

    Statistics For Data Science learners also search

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    1…343344345…834

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

    • Computer Simulations: University of California, Davis
    • Fundamentals of AI Agents Using RAG and LangChain: IBM
    • Building Generative AI-Powered Applications with Python: IBM
    • Relational database systems: Universidad Nacional Autónoma de México
    • 데이터 과학자의 도구 상자: Johns Hopkins University
    • Fundamentals of Database Systems: Coursera Project Network
    • Introduction to R: Basic R syntax: Coursera Project Network
    • Applied Unsupervised Learning in Python: University of Michigan
    • Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs: Whizlabs
    • SQL CASE Statements: Coursera Project Network

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