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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


  • N

    Northwestern University

    What is Social?

    Skills you'll gain: Social Media, Social Media Marketing, Target Audience, Social Media Strategy, Digital Transformation, Professional Networking, Marketing Strategies, Social Network Analysis, Market Analysis, Real Time Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Influencing People

    Skills you'll gain: Influencing, Persuasive Communication, Leadership, Professional Networking, Initiative and Leadership, Relationship Building, Public Speaking, Decision Making, Negotiation, People Development, Social Skills, Organizational Structure

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Small Business Marketing Using YouTube

    Skills you'll gain: Marketing Analytics, Video Production, Social Media Marketing, Business Marketing, Marketing Channel, Customer Engagement, Gmail, Target Audience, Content Creation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of California, Davis

    Web Development for Beginners

    Skills you'll gain: Responsive Web Design, Color Theory, Version Control, Typography, HTML and CSS, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), GitHub, Git (Version Control System), Web Design, Web Design and Development, Web Development, Web Content Accessibility Guidelines, Front-End Web Development, Image Quality, Web Applications, Animations, Web Content, Mobile Development, User Interface (UI) Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • T

    The University of Tokyo

    From the Big Bang to Dark Energy

    Skills you'll gain: Physics, Physical Science, General Science and Research, Scientific Methods, Experimentation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • A

    Arizona State University

    Teach English Now! Theories of Second Language Acquisition

    Skills you'll gain: Vocabulary

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7.6K reviews

    Mixed · Course · 1 - 3 Months

  • I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Image Analysis, Data Preprocessing, Model Deployment, Computer Vision

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.2K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • U

    University of Michigan

    Generative AI in Business

    Skills you'll gain: Generative AI, AI Product Strategy, AI Enablement, Generative AI Agents, Data Integration, Business Solutions, Customer experience strategy (CX), Strategic Thinking, Data Strategy, Innovation, Performance Analysis, Performance Measurement, Business Analysis, Project Risk Management, Solution Design, Business Strategies, Business Transformation, Prompt Engineering, Business Process Management, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
    ·
    118 reviews

    Beginner · Specialization · 1 - 3 Months

  • U

    University of California, Davis

    Introduction to Web Development

    Skills you'll gain: Version Control, Hypertext Markup Language (HTML), GitHub, Git (Version Control System), HTML and CSS, Cascading Style Sheets (CSS), Web Design and Development, Web Development, Web Design, Image Quality, Web Content, Front-End Web Development, Web Servers, Semantic Web, Cloud Hosting

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Successful Presentation

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.9K reviews

    Beginner · Course · 1 - 4 Weeks

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

  • What is Social?: Northwestern University
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Influencing People: University of Michigan
  • Small Business Marketing Using YouTube: Coursera
  • Introduction to Machine Learning: Duke University
  • Web Development for Beginners: University of California, Davis
  • From the Big Bang to Dark Energy: The University of Tokyo
  • Teach English Now! Theories of Second Language Acquisition: Arizona State University
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Generative AI in Business: University of Michigan

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