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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: New
    New
    P

    Packt

    C++ Crash Course - Quick and Practical Learning

    Skills you'll gain: File I/O, Data Validation

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    U

    University of Minnesota

    Fundamentals of Fluid Power

    Skills you'll gain: Hydraulics, Mechanical Engineering, Schematic Diagrams, Simulation and Simulation Software, Engineering, Engineering Analysis, Control Systems, Automation Engineering, Engineering Calculations, Mechanics, Matlab, Physics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    IoT Devices

    Skills you'll gain: Internet Of Things, Wireless Networks, Network Protocols, Infrastructure Security, Emerging Technologies, Data Science, Embedded Systems, General Networking, Big Data, Amazon Web Services, Cloud Platforms, Computer Hardware

    4.7
    Rating, 4.7 out of 5 stars
    ·
    528 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft AI & ML Engineering

    Skills you'll gain: Unsupervised Learning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Azure DevOps, Reinforcement Learning, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    315 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Bioinformatics

    Skills you'll gain: Bioinformatics, Molecular Biology, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Data Analysis, Markov Model, Network Analysis, Biochemistry, Biotechnology, Life Sciences, Infectious Diseases, Microbiology, Statistical Analysis, Biology, Algorithms, Classification Algorithms, Data Mining, Data Preprocessing, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.3K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Computer Science, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI Prompting, Evaluation, and Governance

    Skills you'll gain: Responsible AI, AI Security, Prompt Engineering, Generative AI, Governance Risk Management and Compliance, Content Performance Analysis, Risk Management, Governance, Retrieval-Augmented Generation, Model Evaluation, Compliance Management, Data-Driven Decision-Making, Performance Analysis, Cross-Functional Team Leadership, System Monitoring, Gap Analysis, Large Language Modeling, Performance Metric, Quality Assessment, Cost Benefit Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    D

    Duke University

    AI for Productivity

    Skills you'll gain: Responsible AI, Adobe Firefly, Productivity Software, AI Workflows, Generative AI, Productivity, Writing, Artificial Intelligence, Gemini, Microsoft Copilot, Unstructured Data, Prompt Engineering, Administrative Support, ChatGPT, Data Analysis, Text Mining, Operational Efficiency, Project Schedules, Media Production

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Architect Reusable AI Agent Systems

    Skills you'll gain: Agentic systems, Systems Architecture, API Design, Maintainability, Systems Design, Solution Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Automate, Evaluate and Deploy ML Models Confidently

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Scalability, CI/CD, Continuous Deployment, Application Deployment, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Process Optimization, Verification And Validation, Automation, Key Performance Indicators (KPIs), Performance Analysis, Data-Driven Decision-Making

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    AI-Enhanced Prospecting and Sales Techniques

    Skills you'll gain: Selling Techniques, Sales Prospecting, Microsoft Copilot, Sales Presentations, Sales Strategy, Sales, AI Personalization, Prospecting and Qualification, Customer Analysis, Lead Generation, Customer Insights, AI Enablement, Presentations, Microsoft PowerPoint, Customer Relationship Management (CRM) Software, Quality Control

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Automating Decision Workflows with AI

    Skills you'll gain: Responsible AI, AI Workflows, AI Enablement, Agentic systems, Automation, Business Process Automation, Real Time Data, MLOps (Machine Learning Operations), AI Personalization, IT Automation, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, No-Code Development, Cloud-Based Integration, Business Transformation, Cloud API, Python Programming, Data Analysis, Restful API, API Design

    Intermediate · Course · 1 - 4 Weeks

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1…132133134…834

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

  • C++ Crash Course - Quick and Practical Learning: Packt
  • Fundamentals of Fluid Power: University of Minnesota
  • IoT Devices: University of Illinois Urbana-Champaign
  • Microsoft AI & ML Engineering: Microsoft
  • Bioinformatics: University of California San Diego
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • GenAI Prompting, Evaluation, and Governance: Coursera
  • AI for Productivity: Duke University
  • Architect Reusable AI Agent Systems: Coursera
  • Automate, Evaluate and Deploy ML Models Confidently: Coursera

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