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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


  • B

    Board Infinity

    Microservices and Deployment by using ASP.NET

    Skills you'll gain: Docker (Software), Azure DevOps, Restful API, Microservices, Containerization, DevOps, ASP.NET, CI/CD, .NET Framework, API Design, Test Automation, Application Deployment, Git (Version Control System)

    4.2
    Rating, 4.2 out of 5 stars
    ·
    54 reviews

    Advanced · Course · 1 - 4 Weeks

  • I

    Instituto Tecnológico de Aeronáutica

    Introdução ao Controle Moderno

    Skills you'll gain: Control Systems, Matlab, Engineering Analysis, Simulations, Systems Analysis, System Design and Implementation, Mathematical Modeling, Differential Equations, Linear Algebra, Estimation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    Foundations of Professional Identity

    Skills you'll gain: Professional Development, Business Ethics, Professionalism, Decision Making, Ethical Standards And Conduct, Personal Integrity, Trustworthiness, Communication Strategies, Communication, Problem Solving, Interpersonal Communications, Self-Awareness, Conflict Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    64 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Codio

    Angular for Front End Engineers

    Skills you'll gain: Angular, Test Driven Development (TDD), Web Components, HTML and CSS, Web Development, Software Testing, Cascading Style Sheets (CSS), Front-End Web Development, Development Environment, UI Components, Javascript, Data Persistence, Event-Driven Programming, Data Management, Command-Line Interface

    4.3
    Rating, 4.3 out of 5 stars
    ·
    40 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Design of High-Performance Optical Systems

    Skills you'll gain: Image Quality, Engineering, Scientific, and Technical Instruments, Electronic Components, Systems Design, Human Factors, Engineering Calculations, Technical Design, Simulation and Simulation Software, Mathematical Modeling

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    53 reviews

    Advanced · Course · 1 - 3 Months

  • I

    IBM

    Build Multimodal Generative AI Applications

    Skills you'll gain: Multimodal Prompts, LLM Application, Generative Model Architectures, OpenAI API, Application Development, Prompt Engineering, Web Applications, Flask (Web Framework), Web Development, Software Development

    4.8
    Rating, 4.8 out of 5 stars
    ·
    49 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    Impact from Digital Transformation: Full course

    Skills you'll gain: Digital Transformation, Business Transformation, Corporate Strategy, Business Strategy, Organizational Change, Technology Strategies, Case Studies, Predictive Modeling, Emerging Technologies, Innovation, Strategic Decision-Making

    4.6
    Rating, 4.6 out of 5 stars
    ·
    69 reviews

    Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    AI Machine Learning with R & Python Projects

    Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Beginner · Specialization · 3 - 6 Months

  • D

    Duke University

    Pandas for Data Science

    Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, Data Preprocessing, Data Quality, NumPy, File I/O, Query Languages, Python Programming, Data Import/Export, Data Analysis, Exploratory Data Analysis, Debugging

    4.3
    Rating, 4.3 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Employee Attrition Prediction Using Machine Learning

    Skills you'll gain: Data Preprocessing, Data Visualization, Logistic Regression, Feature Engineering, Data Cleansing, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Science, Classification And Regression Tree (CART), Applied Machine Learning, Regression Analysis, Supervised Learning, Machine Learning, Human Resources, Employee Retention, Machine Learning Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    15 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Geneva

    The Diversity of Exoplanets

    Skills you'll gain: General Science and Research, Scientific Methods, Scientific Visualization, Research, Quantitative Research, Physics, Mathematical Modeling, Simulations, Mechanics, Chemistry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    38 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    United Cities and Local Governments of Africa

    Financing Infrastructure in African Cities

    Skills you'll gain: Project Finance, Risk Management, Finance, Financial Policy, Case Studies, Community Development, Decision Making, Economic Development, Sustainable Development, Economics, Revenue Management, Governance

    4.6
    Rating, 4.6 out of 5 stars
    ·
    58 reviews

    Beginner · Course · 1 - 3 Months

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

  • Microservices and Deployment by using ASP.NET: Board Infinity
  • Introdução ao Controle Moderno: Instituto Tecnológico de Aeronáutica
  • Foundations of Professional Identity: University of Illinois Urbana-Champaign
  • Angular for Front End Engineers: Codio
  • Design of High-Performance Optical Systems: University of Colorado Boulder
  • Build Multimodal Generative AI Applications: IBM
  • Impact from Digital Transformation: Full course: 28DIGITAL
  • AI Machine Learning with R & Python Projects: EDUCBA
  • Pandas for Data Science: Duke University
  • Employee Attrition Prediction Using Machine Learning: Coursera

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