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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


  • U

    University of New Mexico

    International Business I

    Skills you'll gain: Social Sciences, International Relations, Political Sciences, Economic Development, Global Marketing, Socioeconomics, Cultural Diversity, World History, Business Economics, Economics, Business, Financial Market

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.3K reviews

    Mixed · Course · 1 - 3 Months

  • I

    Instituto Tecnológico de Aeronáutica

    Introdução ao Controle de Sistemas

    Skills you'll gain: Control Systems, Process Control, Systems Engineering, System Monitoring, Systems Analysis, Engineering Analysis, Mathematical Modeling, Applied Mathematics, Performance Testing, Differential Equations, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of California San Diego

    Introduction to Graph Theory

    Skills you'll gain: Graph Theory, Combinatorics, Network Analysis, Data Structures, Visualization (Computer Graphics), Algorithms, Mathematical Theory & Analysis, Theoretical Computer Science, Program Development

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Graphic Design Elements for Non-Designers

    Skills you'll gain: Logo Design, Color Theory, Design Elements And Principles, Graphic Design, Design, Typography, Storytelling, Layout Design, User Experience Design, Digital Design, Image Quality, Graphic and Visual Design, Adobe InDesign, Graphic and Visual Design Software, Design Research, Information Architecture, Adobe Photoshop, Web Design and Development, File Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • P

    Politecnico di Milano

    Archaeoastronomy

    Skills you'll gain: Ancient History, Art History, Architectural Design, Civil and Architectural Engineering, Social Studies, Architecture and Construction, World History, Physical Science, Cultural Diversity, General Science and Research

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Caltech

    The Science of the Solar System

    Skills you'll gain: Science and Research, Research, Physical Science, Scientific Methods, Life Sciences, Physics, Water Resources, Advanced Mathematics, Chemistry, Environment, Biology, Geospatial Information and Technology, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    813 reviews

    Mixed · Course · 1 - 3 Months

  • I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    456 reviews

    Intermediate · Course · 1 - 3 Months

  • R

    Rice University

    Parallel Programming in Java

    Skills you'll gain: Dataflow, Java, Distributed Computing, Programming Principles, Application Frameworks, Algorithms, Performance Tuning, Functional Design, Computer Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    AWS S3 Basics

    Skills you'll gain: Amazon S3, Amazon Web Services, Cloud Hosting, Cloud Storage, Version Control, Encryption, Data Storage, Data Encryption Standard

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.3K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • W

    Wesleyan University

    The Modern and the Postmodern (Part 1)

    Skills you'll gain: Aesthetics, Art History, European History, Liberal Arts, World History, Culture, Socioeconomics, Political Sciences, Sociology

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1K reviews

    Mixed · Course · 1 - 3 Months

  • I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Autoencoders, Unsupervised Learning, Tensorflow, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning, Computer Vision, Model Evaluation, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • M

    Microsoft

    Microsoft Cloud Support Associate

    Skills you'll gain: Microsoft 365, Network Security, Cloud Management, Microsoft Azure, Business Software, Computer Hardware, Virtual Machines, Identity and Access Management, Cybersecurity, Network Troubleshooting, Microsoft Office, Desktop Support, Virtual Private Networks (VPN), Azure Active Directory, Technical Support and Services, Technical Support, System Monitoring, Disaster Recovery, Cloud Computing, Network Protocols

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.6K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

  • International Business I: University of New Mexico
  • Introdução ao Controle de Sistemas: Instituto Tecnológico de Aeronáutica
  • Introduction to Graph Theory: University of California San Diego
  • Graphic Design Elements for Non-Designers: University of Colorado Boulder
  • Archaeoastronomy: Politecnico di Milano
  • The Science of the Solar System: Caltech
  • Supervised Machine Learning: Classification: IBM
  • Parallel Programming in Java: Rice University
  • AWS S3 Basics: Coursera
  • The Modern and the Postmodern (Part 1): Wesleyan University

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