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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


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    Coursera

    Agentic AI Content for Practitioners: Software

    Skills you'll gain: LangChain, Agentic Workflows, CI/CD, LangGraph, AI Orchestration, AI Workflows, Model Deployment, Continuous Integration, DevOps, Continuous Deployment, Generative AI Agents, Application Deployment, AI Enablement, Cloud Deployment, Test Automation, AI Product Strategy, Program Development, Microsoft Copilot, Maintainability, Agentic systems

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Agentic AI Content for Practitioners (Teams: Legal)

    Skills you'll gain: Agentic Workflows, Agentic systems, Contract Compliance, Organizational Change, Legal Technology, Change Management, Contract Review, AI Enablement, Compliance Reporting, Compliance Management, Workflow Management, Regulation and Legal Compliance, Scalability, Automation, Process Design, Risk Analysis

    Intermediate · Course · 1 - 4 Weeks

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    R

    Real Madrid Graduate School Universidad Europea

    ¿Cómo hemos llegado hasta aquí?El desarrollo de la analítica

    Skills you'll gain: Analytics, Business Analytics, Trend Analysis, Data-Driven Decision-Making, Advanced Analytics, Data Analysis, Analysis, Predictive Analytics, Case Studies, Spatial Analysis, Mathematical Modeling, Data Collection, Performance Reporting, Data Presentation, Predictive Modeling, Innovation, Learning Styles, Leadership, Computer Vision, Communication

    Beginner · Course · 1 - 4 Weeks

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    U

    University of Cambridge

    Introduction to Cognitive Psychology and Neuropsychology

    Skills you'll gain: Human Learning, Psychology, Magnetic Resonance Imaging, Medical Imaging, Neurology, Research Methodologies, Research, Human Development, Learning Theory, Scientific Methods, Child Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    59 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Start the UX Design Process: Empathize, Define, and Ideate

    Skills you'll gain: User Experience Design, Persona (User Experience), Web Content Accessibility Guidelines, User Story, Usability, User Research, Human Factors, Human Centered Design, Ideation, User Flows, Competitive Analysis, Mockups

    4.8
    Rating, 4.8 out of 5 stars
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    17K reviews

    Beginner · Course · 1 - 4 Weeks

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    U

    University of Washington

    Social Media Data Analytics

    Skills you'll gain: Data Visualization, Text Mining, Social Network Analysis, Statistical Analysis, Data Visualization Software, Case Studies, Application Programming Interface (API), Unstructured Data, Data Analysis, R Programming, Statistical Methods, Correlation Analysis, Regression Analysis, Data Collection, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
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    298 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Michigan

    Successful Negotiation: Essential Strategies and Skills

    Skills you'll gain: Contract Negotiation, Negotiation, Mediation, Arbitration, Communication, Business Communication, Conflict Management, Cultural Sensitivity, Business Ethics, Decision Making, Planning

    4.8
    Rating, 4.8 out of 5 stars
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    20K reviews

    Beginner · Course · 1 - 3 Months

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    D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Packt

    AI Ecosystem for the Absolute Beginners - Hands-On

    Skills you'll gain: Amazon Bedrock, Model Evaluation, Data Preprocessing

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of California, Davis

    SQL Problem Solving

    Skills you'll gain: SQL, Data Quality, Complex Problem Solving, Data Visualization, JSON, Query Languages, Business Metrics, Business Reporting, Data Cleansing, Data Presentation, Forecasting, Data Analysis, Predictive Analytics, Debugging

    4.6
    Rating, 4.6 out of 5 stars
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    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Model Evaluation, Exploratory Data Analysis, Applied Machine Learning, Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Data Science, Random Forest Algorithm, Python Programming, Data Preprocessing, NumPy, Regression Analysis, Data Analysis, Feature Engineering, Logistic Regression, Performance Tuning

    Build toward a degree

    3.3
    Rating, 3.3 out of 5 stars
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    86 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis

    4.7
    Rating, 4.7 out of 5 stars
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    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

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1…777879…834

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

  • Agentic AI Content for Practitioners: Software: Coursera
  • Agentic AI Content for Practitioners (Teams: Legal): Coursera
  • ¿Cómo hemos llegado hasta aquí?El desarrollo de la analítica: Real Madrid Graduate School Universidad Europea
  • Introduction to Cognitive Psychology and Neuropsychology: University of Cambridge
  • Start the UX Design Process: Empathize, Define, and Ideate: Google
  • Social Media Data Analytics: University of Washington
  • Successful Negotiation: Essential Strategies and Skills: University of Michigan
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • AI Ecosystem for the Absolute Beginners - Hands-On: Packt
  • SQL Problem Solving: University of California, Davis

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