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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.


More to explore:

Popular Statistics For Data Science Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python Data Structures

    Skills you'll gain: Data Structures, Data Processing, Data Analysis, Python Programming, Data Manipulation, Software Installation, Development Environment

    4.9
    Rating, 4.9 out of 5 stars
    ·
    97K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Share Data Through the Art of Visualization

    Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Data Presentation, Tableau Software, Presentations, Data Visualization Software, Dashboard, Data Analysis, Web Content Accessibility Guidelines, Stakeholder Engagement

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Discrete Mathematics for Computer Science

    Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Computational Thinking, Encryption, Probability Distribution, Network Analysis, Public Key Cryptography Standards (PKCS), Theoretical Computer Science, Bayesian Statistics, Python Programming, Data Structures, Cybersecurity, Algorithms, Arithmetic, Visualization (Computer Graphics)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • D

    Duke University

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Probability Distribution

    3.8
    Rating, 3.8 out of 5 stars
    ·
    798 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Universidad Nacional Autónoma de México

    Introducción a Data Science: Programación Estadística con R

    Skills you'll gain: R Programming, Statistical Programming, Ggplot2, Data Manipulation, Simulations, Statistical Software, Statistical Visualization, Data Processing, Graphing, Programming Principles, Data Import/Export, Scripting, Exploratory Data Analysis, Data Structures, Software Installation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Data Science Challenge

    Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning Algorithms, Model Evaluation, Machine Learning, Predictive Modeling, Data Science, Python Programming, Predictive Analytics, Data Analysis, Technical Communication

    4.7
    Rating, 4.7 out of 5 stars
    ·
    199 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    Python Project for Data Engineering

    Skills you'll gain: Web Scraping, Data Transformation, Extract, Transform, Load, Data Manipulation, SQL, Integrated Development Environments, Data Processing, Databases, Application Programming Interface (API), Code Review, Python Programming, Unit Testing, Style Guides

    4.6
    Rating, 4.6 out of 5 stars
    ·
    818 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Science

    Skills you'll gain: SQL, Peer Review, Jupyter, Data Literacy, Data Mining, Data Modeling, Data Collection, Model Deployment, Business Analysis, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Data Visualization Software, GitHub, Cloud Computing, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    101K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Preprocessing, Machine Learning Methods, Advanced Mathematics, Data Manipulation, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming, Algebra

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Data Science Coding Challenge: Loan Default Prediction

    Skills you'll gain: Applied Machine Learning, Jupyter, Predictive Modeling, Machine Learning, Data Manipulation, Data Preprocessing, Data Science, Model Evaluation, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    107 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Python for Genomic Data Science

    Skills you'll gain: Bioinformatics, Data Structures, Jupyter, Python Programming, Programming Principles, Object Oriented Programming (OOP), File I/O, Computational Logic, Package and Software Management, Data Manipulation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.8K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Accelerated Computer Science Fundamentals

    Skills you'll gain: C++ (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Graph Theory, Development Environment, Data Storage, Engineering Software, Unstructured Data, Computer Programming, Algorithms, Data Storage Technologies, Debugging, Program Development, Database Systems, Database Theory, Network Routing, Theoretical Computer Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Specialization · 1 - 3 Months

1…789…834

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

  • Python Data Structures: University of Michigan
  • Share Data Through the Art of Visualization: Google
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • Bayesian Statistics: Duke University
  • Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México
  • Data Science Challenge: Coursera
  • Python Project for Data Engineering: IBM
  • Introduction to Data Science: IBM
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Data Science Coding Challenge: Loan Default Prediction: Coursera

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