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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
    R

    Rice University

    Finance for Non-Finance Professionals

    Skills you'll gain: Capital Budgeting, Cash Flows, Fiscal Management, Finance, Financial Analysis, Cash Flow Forecasting, Business Valuation, Return On Investment, Financial Management, Corporate Finance, General Finance, Case Studies, Investment Management, Financial Market, Risk Analysis, Financial Accounting

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, ChatGPT, Generative Adversarial Networks (GANs), Responsible AI, OpenAI, Data Ethics, AI literacy, Large Language Modeling, Leadership and Management, AI Enablement, Business Leadership, Strategic Leadership, Business Ethics, Hugging Face, Legal Risk, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

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

    Beginner · Specialization · 3 - 6 Months

  • Status: Free
    Free
    A

    Amazon Web Services

    Data Engineering on AWS - Foundations

    Skills you'll gain: Infrastructure as Code (IaC), Serverless Computing, CI/CD, Data Infrastructure, Amazon Web Services, Continuous Integration, Data Architecture, AWS Identity and Access Management (IAM), Devops Tools, AWS CloudFormation, Security Controls, Cloud Applications, Amazon CloudWatch, Terraform, Authentications

    4.6
    Rating, 4.6 out of 5 stars
    ·
    280 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Neural Networks and Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Artificial Intelligence, Machine Learning Methods, Recurrent Neural Networks (RNNs), Python Programming, Model Training, Model Optimization

    4.9
    Rating, 4.9 out of 5 stars
    ·
    124K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Back-End Development

    Skills you'll gain: Cloud Deployment, Unit Testing, Software Development Life Cycle, Open Web Application Security Project (OWASP), Istio, Cloud-Native Computing, Linux Commands, Software Architecture, Application Deployment, Kubernetes, Bash (Scripting Language), Shell Script, Django (Web Framework), Object-Relational Mapping, OpenShift, Git (Version Control System), Cloud Applications, Grafana, Microservices, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    53K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM DevOps and Software Engineering

    Skills you'll gain: User Story, Cloud Deployment, CI/CD, Unit Testing, Software Development Life Cycle, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Linux Commands, Software Architecture, Test Driven Development (TDD), Cloud Computing Architecture, Application Deployment, Devops Tools, Git (Version Control System), DevOps, Grafana, Software Engineering, Python Programming, Application Development

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    65K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Introduction to Data Engineering

    Skills you'll gain: Data Pipelines, Data Architecture, Requirements Analysis, Requirements Elicitation, Amazon Web Services, Data Infrastructure, Enterprise Architecture, Data Processing, System Requirements, Performance Tuning, Cloud Computing, Data Transformation, Scalability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    490 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Introduction to AI

    Skills you'll gain: Generative AI, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), AI literacy, Model Training, Machine Learning, Innovation, Critical Thinking

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

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Generative AI, Generative Model Architectures, LLM Application, AI literacy, Natural Language Processing, Robotics, Risk Mitigation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Coding for Everyone: C and C++

    Skills you'll gain: C++ (Programming Language), C and C++, Object Oriented Programming (OOP), Object Oriented Design, Programming Principles, Software Design Patterns, Computer Programming, Algorithms, C (Programming Language), Software Design, Program Development, Graph Theory, Code Reusability, Computational Logic, Artificial Intelligence, Data Structures, Memory Management, File I/O, Simulations

    4.5
    Rating, 4.5 out of 5 stars
    ·
    9.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Work Smarter with Microsoft Excel

    Skills you'll gain: Microsoft Excel, Spreadsheet Software, Microsoft Office, Excel Formulas, Data Import/Export, Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    J

    John Wiley & Sons

    CompTIA DataX Study Guide

    Skills you'll gain: Supervised Learning, Statistical Methods, Exploratory Data Analysis, Data Preprocessing, Model Evaluation, Data Processing, Data Quality, Model Deployment, Data Transformation, Machine Learning Methods, Image Analysis, Statistics, Statistical Machine Learning, Data Analysis, Data Science, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Computer Vision, Machine Learning Algorithms

    Beginner · Specialization · 1 - 3 Months

1…242526…834

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

  • Finance for Non-Finance Professionals: Rice University
  • Generative AI Fundamentals: IBM
  • Data Engineering on AWS - Foundations: Amazon Web Services
  • Neural Networks and Deep Learning: DeepLearning.AI
  • IBM Back-End Development: IBM
  • IBM DevOps and Software Engineering: IBM
  • Introduction to Data Engineering: DeepLearning.AI
  • Introduction to AI: Google
  • Introduction to Artificial Intelligence (AI): IBM
  • Coding for Everyone: C and C++: University of California, Santa Cruz

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