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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
    Free Trial
    T

    The Museum of Modern Art

    Modern and Contemporary Art and Design

    Skills you'll gain: Photography, Art History, Critical Thinking and Problem Solving, Performing Arts, Creativity, Photo/Video Production and Technology, Visual Storytelling, Aesthetics, Electronic Media, Liberal Arts, Media and Communications, Cultural Diversity, Cultural Responsiveness, Cultural Sensitivity, Multimedia, Storytelling, Social Justice, Diversity Awareness, Design, Social Studies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    E

    Edureka

    Fundamentals of Data Governance

    Skills you'll gain: Data Governance, Governance, Data Management, Compliance Management, Data Architecture, Cloud Solutions, General Data Protection Regulation (GDPR), Data Strategy, Law, Regulation, and Compliance, Regulatory Compliance, Security Controls, Data Security, Cloud Security, Metadata Management, Information Management, Data Integrity, Data Quality, Data Access, Cloud Computing, Risk Management

    4
    Rating, 4 out of 5 stars
    ·
    68 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Mobile App Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Data Ethics, Generative AI Agents, AI Personalization, Mobile Development, AI powered creativity, Software Design Documents, Software Design, Prompt Engineering Tools, Anthropic Claude, Mobile Development Tools, LLM Application, AI literacy, iOS Development, Machine Learning Software, Software Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Successful Presentation

    Skills you'll gain: Public Speaking, Presentations, Verbal Communication Skills, Storytelling, Drive Engagement, Communication, Persuasive Communication, Driving engagement, Non-Verbal Communication, Business Writing, Rapport Building, Composure, Adaptability, Creative Thinking, Creativity

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 1: Unit 1

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Data Analysis, AI Personalization, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Python per la Data Science

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Applied Machine Learning, Scikit Learn (Machine Learning Library)

    4.3
    Rating, 4.3 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Python for Data Science (and Version Control with GitHub)

    Skills you'll gain: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Statistical Methods, GitHub, Data Manipulation, Statistical Hypothesis Testing, Version Control, Statistical Analysis, Data Science, Data Visualization Software, Python Programming, NumPy, Statistics, Data Analysis, Git (Version Control System), Collaborative Software, AI Workflows, Data Transformation

    4
    Rating, 4 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Programming Foundations with JavaScript, HTML and CSS

    Skills you'll gain: UI Components, User Interface (UI), Computational Thinking, HTML and CSS, Web Design and Development, Interactive Design, Hypertext Markup Language (HTML), Web Development, Programming Principles, Web Design, Javascript, Event-Driven Programming, Computer Programming, Algorithms, Image Analysis, Web Applications, Cascading Style Sheets (CSS)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Marketing in a Digital World

    Skills you'll gain: Digital Marketing Tools, Digital Marketing, Marketing, Strategic Marketing, Marketing Planning, Marketing Strategy and Techniques, Cross-Channel Marketing, Marketing Management, Online Advertising, Digital Transformation, Promotional Strategies, Market Dynamics, Shared Media, Earned Media, Brand Management, Customer Engagement

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    17K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for IT Systems Analysts and Architects

    Skills you'll gain: Prompt Engineering, Process Modeling, Prompt Patterns, Generative AI, Generative Model Architectures, Business Workflow Analysis, Systems Analysis, AI Workflows, AI literacy, Process Optimization, Miro AI, Systems Architecture, Solution Architecture, Software Architecture, Systems Thinking, Responsible AI, Machine Learning, Project Documentation, Stakeholder Communications, Technical Consulting

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Machine Learning Methods, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Machine Learning Algorithms, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Model Training, Artificial Intelligence, Deep Learning, Computer Vision, Transfer Learning, Application Development, Predictive Modeling, Model Deployment, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Cybersecurity Tools & Cyberattacks

    Skills you'll gain: Malware Protection, Identity and Access Management, Incident Response, Cybersecurity, Computer Security Incident Management, Network Security, Threat Management, Cyber Attacks, Authentications, Distributed Denial-Of-Service (DDoS) Attacks, Security Awareness, Digital Forensics, Security Controls, Cyber Security Policies, Infrastructure Security, Multi-Factor Authentication, Human Factors (Security)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17K reviews

    Beginner · Course · 1 - 3 Months

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

  • Modern and Contemporary Art and Design: The Museum of Modern Art
  • Fundamentals of Data Governance: Edureka
  • Generative AI for Mobile App Developers: IBM
  • Successful Presentation: University of Colorado Boulder
  • Data Science Fundamentals Part 1: Unit 1: Pearson
  • Python per la Data Science: Università di Napoli Federico II
  • Python for Data Science (and Version Control with GitHub): Coursera
  • Programming Foundations with JavaScript, HTML and CSS: Duke University
  • Marketing in a Digital World: University of Illinois Urbana-Champaign
  • Generative AI for IT Systems Analysts and Architects: IBM

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