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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
    S

    Skillshare

    How to Draw: A Beginner’s Guide Pt 1 – Basic Shapes

    Skills you'll gain: Design Elements And Principles, Creativity

    4.2
    Rating, 4.2 out of 5 stars
    ·
    14 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Enterprise Database Migration

    Skills you'll gain: Database Architecture and Administration, Cloud Computing Architecture, Oracle Databases, Data Migration, Microsoft SQL Servers, Google Cloud Platform, Cloud Computing, Database Management, Databases, Virtual Private Networks (VPN), Network Security, Enterprise Application Management, Virtual Machines

    4.3
    Rating, 4.3 out of 5 stars
    ·
    37 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    NIIT

    Building RESTful APIs Using Node.js and Express

    Skills you'll gain: Restful API, Application Programming Interface (API), Node.JS, Software Documentation, Web Services, Middleware, Authentications, JSON, Web Frameworks, Server Side, Web Applications, Back-End Web Development, Authorization (Computing)

    4
    Rating, 4 out of 5 stars
    ·
    23 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    CUDA at Scale for the Enterprise

    Skills you'll gain: Image Analysis, Scalability, Digital Signal Processing, C and C++, Distributed Computing, Computer Graphics, Data Processing, Performance Tuning, Hardware Architecture, Algorithms

    3.1
    Rating, 3.1 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM COBOL Basic Testing and Debugging

    Skills you'll gain: COBOL (Programming Language), Debugging, z/OS, Unit Testing, Test Driven Development (TDD), Software Testing, Mainframe Computing, Integrated Development Environments, File I/O

    4.4
    Rating, 4.4 out of 5 stars
    ·
    120 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Computational Thinking & Block Programming in K-12 Education

    Skills you'll gain: Debugging, Computational Thinking, Event-Driven Programming, Computer Programming Tools, Algorithms, Programming Principles, Diversity Awareness, Digital pedagogy, Program Development, Education Software and Technology, Technical Communication, Computer Programming, Diversity Equity and Inclusion Initiatives, Code Review, Brainstorming, Software Documentation, Computer Science, Data Structures, Game Design, Student Engagement

    4.6
    Rating, 4.6 out of 5 stars
    ·
    32 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Exploring Generative AI for Learning Design

    Skills you'll gain: Generative AI, Prompt Engineering, Instructional Design, Design Strategies, Content Creation, Creative Design, Emerging Technologies, Professional Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    44 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Balancing with Gen AI: Credit Card Fraud Detection

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Fraud detection, Keras (Neural Network Library), Tensorflow, Data Preprocessing, Deep Learning, Dimensionality Reduction, Exploratory Data Analysis, Anomaly Detection, Data Visualization, Data Synthesis, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    9 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    E

    EDUCBA

    Overview of Automotive SPICE

    Skills you'll gain: Process Driven Development, Software Quality Assurance, Process Management, Software Development, Embedded Software, Verification And Validation, Software Development Life Cycle, Systems Development Life Cycle, Configuration Management, Requirements Analysis, Risk Management Framework, Change Requests, Quality Control, Continuous Monitoring

    4.5
    Rating, 4.5 out of 5 stars
    ·
    69 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Build AI Apps with LangChain.js

    Skills you'll gain: LangChain, Prompt Engineering, LLM Application, AI Workflows, Vector Databases, User Interface (UI) Design, Human Computer Interaction, Database Management, Data Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    34 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modelling: Techniques of Integration

    Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Probability, Applied Mathematics, Advanced Mathematics, Geometry, Mathematical Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    54 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Advanced Deep Learning Techniques for Computer Vision

    Skills you'll gain: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Matlab, Unsupervised Learning, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Transfer Learning, Data Synthesis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

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1…718719720…834

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

  • How to Draw: A Beginner’s Guide Pt 1 – Basic Shapes: Skillshare
  • Enterprise Database Migration: Google Cloud
  • Building RESTful APIs Using Node.js and Express: NIIT
  • CUDA at Scale for the Enterprise: Johns Hopkins University
  • IBM COBOL Basic Testing and Debugging: IBM
  • Computational Thinking & Block Programming in K-12 Education: University of California San Diego
  • Exploring Generative AI for Learning Design: University of Michigan
  • Data Balancing with Gen AI: Credit Card Fraud Detection: Coursera
  • Overview of Automotive SPICE: EDUCBA
  • Build AI Apps with LangChain.js: Scrimba

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