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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


  • I

    IBM

    Data Visualization with R

    Skills you'll gain: Ggplot2, Data Visualization Software, Data Visualization, Statistical Visualization, Rmarkdown, Shiny (R Package), Dashboard, Leaflet (Software), Interactive Data Visualization, R Programming, Scatter Plots, Box Plots, Spatial Data Analysis, Histogram, Data Science, Data Analysis, User Interface (UI), UI Components

    4.6
    Rating, 4.6 out of 5 stars
    ·
    270 reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Build Better Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Model Evaluation, Responsible AI, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    685 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    AI for Project Managers and Scrum Masters

    Skills you'll gain: Agile Project Management, Forecasting, AI Enablement, Agile Methodology, Workflow Management, Innovation, Project Management Life Cycle, Project Management, Automation, Project Risk Management, Artificial Intelligence, Digital Transformation

    4.2
    Rating, 4.2 out of 5 stars
    ·
    148 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of California, Santa Cruz

    C for Everyone, Part 2: Structured Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    790 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Introduction to Embedded Systems Software and Development Environments

    Skills you'll gain: Software Configuration Management, Embedded Software, Embedded Systems, Git (Version Control System), Version Control, Build Tools, Software Development Tools, C (Programming Language), Development Environment, Software Technical Review, Software Design, Hardware Architecture, Computer Architecture, Debugging

    4.5
    Rating, 4.5 out of 5 stars
    ·
    648 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    UNSW Sydney (The University of New South Wales)

    Introduction to Systems Engineering

    Skills you'll gain: Engineering Management, Product Requirements, Construction, Software Engineering, Technical Design, Risk Management Framework

    4.7
    Rating, 4.7 out of 5 stars
    ·
    832 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Pennsylvania

    Calculus: Single Variable Part 2 - Differentiation

    Skills you'll gain: Calculus, Applied Mathematics, Derivatives, Engineering Calculations, Advanced Mathematics, Estimation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    California Institute of the Arts

    Brand New Brand

    Skills you'll gain: Logo Design, Style Guides, Branding, Typography, Graphic and Visual Design, Brainstorming, Design Research, Layout Design, Adobe InDesign, Creativity, Adobe Photoshop, Color Theory, Design Elements And Principles

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado System

    Introduction to Cybersecurity for Business

    Skills you'll gain: Computer Security Awareness Training, Cybersecurity, Risk Management, Enterprise Security, Cyber Security Assessment, Vulnerability Assessments, Encryption, Data Security, Information Assurance, Authentications, Network Protocols

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • U

    Universidad de los Andes

    Introducción a la ciencia de datos aplicada

    Skills you'll gain: Data Visualization, Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Python Programming, Descriptive Statistics, Data Modeling, Statistical Modeling, Design Thinking

    4.7
    Rating, 4.7 out of 5 stars
    ·
    446 reviews

    Beginner · Course · 1 - 4 Weeks

  • H

    Hebrew University of Jerusalem

    Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course)

    Skills you'll gain: Computer Science, Computer Architecture, Computer Programming, System Programming, Virtual Machines, Operating Systems, Hardware Architecture, Software Architecture, Algorithms, Object Oriented Programming (OOP), Data Structures, Computer Graphic Techniques

    4.9
    Rating, 4.9 out of 5 stars
    ·
    532 reviews

    Mixed · Course · 1 - 3 Months

  • M

    Microsoft

    Excel and Copilot Fundamentals

    Skills you'll gain: Prompt Engineering, Excel Formulas, Microsoft Copilot, Microsoft Excel, Data Visualization, Data Analysis, Data Entry, Data Presentation, Spreadsheet Software, Data Manipulation, User Interface (UI)

    4.2
    Rating, 4.2 out of 5 stars
    ·
    330 reviews

    Beginner · Course · 1 - 3 Months

1…316317318…834

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

  • Data Visualization with R: IBM
  • Build Better Generative Adversarial Networks (GANs): DeepLearning.AI
  • AI for Project Managers and Scrum Masters: Coursera
  • C for Everyone, Part 2: Structured Programming: University of California, Santa Cruz
  • Introduction to Embedded Systems Software and Development Environments: University of Colorado Boulder
  • Introduction to Systems Engineering: UNSW Sydney (The University of New South Wales)
  • Calculus: Single Variable Part 2 - Differentiation: University of Pennsylvania
  • Brand New Brand: California Institute of the Arts
  • Introduction to Cybersecurity for Business: University of Colorado System
  • Introducción a la ciencia de datos aplicada: Universidad de los Andes

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