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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
    U

    Universidad Nacional Autónoma de México

    Habilidades Gerenciales

    Skills you'll gain: Leadership and Management, Organizational Skills, Creative Thinking, Organizational Strategy, Team Leadership, Strategic Planning, Cognitive flexibility, Organizational Leadership, Creative Problem-Solving, Supervision, Empathy & Emotional Intelligence, Leadership, Delegation Skills, Brainstorming, Emotional Intelligence, Problem Solving, Quality Management, Time Management, Business Planning, Coaching

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.7K reviews

    Beginner · Specialization · 3 - 6 Months

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

    Coursera

    Regression: Identify Assumptions & Apply Models

    Skills you'll gain: Regression Analysis, Model Evaluation, Forecasting, Data Presentation, Technical Communication, Statistical Programming, R Programming, Statistical Modeling, Predictive Modeling, R (Software), Statistical Analysis, Verification And Validation, Statistical Visualization, Reliability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Copenhagen Business School

    An Introduction to Consumer Neuroscience & Neuromarketing

    Skills you'll gain: Consumer Behaviour, Marketing Psychology, Decision Making, Brand Management, Human Learning, Customer Insights, Market Research, Business Ethics, Marketing, Advertising, Ethical Standards And Conduct, Psychology, Data Collection

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

    Beginner · Course · 1 - 3 Months

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

    Coursera

    Deploy, Evaluate and Create AI Systems

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Cloud Deployment, Continuous Deployment, Containerization, Docker (Software), DevOps, Release Management, Version Control, Dependency Analysis, Performance Tuning, CI/CD, Performance Testing, Package and Software Management, Performance Analysis, Performance Metric, Application Performance Management, Application Development, Cost Benefit Analysis

    Intermediate · Course · 1 - 4 Weeks

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

    EDUCBA

    Apply Generative AI Integration and Deployment Strategies

    Skills you'll gain: AI Product Strategy, AI Security, Capacity Management

    Beginner · Course · 1 - 4 Weeks

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

    EDUCBA

    Analyze & Apply Generative AI for Research & Finance

    Skills you'll gain: Team Performance Management, Generative AI, Kanban Principles, Analytics, AI Security, Big Data, Investment Management, Coaching, Trend Analysis, Scalability, Emotional Intelligence, Technology Strategies, Business, Employee Engagement, Business Ethics, Customer experience improvement, Responsible AI, Complex Problem Solving, Research, Estimation

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Master AI Agents – Build Leads from Scratch

    Skills you'll gain: AI Workflows, Agentic Workflows, Deepseek, Automation, DeepSeek API, OpenAI API, Agentic systems, Google Sheets

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
    Preview
    N

    Northwestern University

    Fundamentals of Digital Image and Video Processing

    Skills you'll gain: Digital Signal Processing, Image Analysis, Computer Vision, Visualization (Computer Graphics), Matlab, Mathematical Modeling, Color Theory, Applied Mathematics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.8K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.9K reviews

    Intermediate · Course · 1 - 3 Months

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

    Coursera

    Systematic ML Optimization

    Skills you'll gain: MLOps (Machine Learning Operations), Image Analysis, Multimodal Prompts, Debugging, Computer Vision, Algorithms, Model Evaluation, Applied Machine Learning, Performance Tuning, Failure Mode And Effects Analysis, Verification And Validation, Root Cause Analysis, Performance Analysis, Machine Learning, Deep Learning, Artificial Neural Networks, Tensorflow, Data Visualization, Python Programming, Experimentation

    Intermediate · Specialization · 3 - 6 Months

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

    EDUCBA

    Master Ethical AI: Analyze, Evaluate & Lead Responsibly

    Skills you'll gain: Data Ethics, Responsible AI, AI Security, Business Ethics, Artificial Intelligence, Information Privacy, Ethical Standards And Conduct, Regulatory Requirements, Emerging Technologies, Strategic Leadership, Accountability, Diversity and Inclusion, Stakeholder Engagement

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Agentic AI Protocols (MCP, A2A, ACP)

    Skills you'll gain: AI Orchestration, AI Workflows, Agentic Workflows, Agentic systems, Collaborative Software, System Design and Implementation, Interoperability, Coordination, Communication Systems, Network Protocols, Workflow Management, Case Studies, Scalability

    Mixed · Course · 1 - 4 Weeks

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

  • Habilidades Gerenciales: Universidad Nacional Autónoma de México
  • Regression: Identify Assumptions & Apply Models: Coursera
  • An Introduction to Consumer Neuroscience & Neuromarketing : Copenhagen Business School
  • Deploy, Evaluate and Create AI Systems: Coursera
  • Apply Generative AI Integration and Deployment Strategies: EDUCBA
  • Analyze & Apply Generative AI for Research & Finance: EDUCBA
  • Master AI Agents – Build Leads from Scratch: Packt
  • Fundamentals of Digital Image and Video Processing: Northwestern University
  • Introduction to Neural Networks and PyTorch: IBM
  • Systematic ML Optimization: Coursera

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