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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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    J

    JetBrains

    Kotlin for Java Developers

    Skills you'll gain: Kotlin, Object Oriented Programming (OOP), Java, Java Programming, Spring Framework, Android Development, IntelliJ IDEA, Functional Design, Interoperability, Unit Testing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Course · 1 - 3 Months

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    New
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    U

    University of Maryland, College Park

    AI for Business Leaders

    Skills you'll gain: AI Personalization, Responsible AI, Deep Learning, Forecasting, Business Leadership, Risk Management, Business Analytics, Machine Learning, Analytics, Artificial Intelligence, Marketing Analytics, Applied Machine Learning, Customer Analysis, Supply Chain Management, Data-Driven Decision-Making, Big Data, People Analytics

    Intermediate · Course · 1 - 3 Months

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

    Coursera

    Benchmark & Optimize LLM App Performance

    Skills you'll gain: LLM Application, Prompt Engineering, Performance Tuning, Performance Testing, Tool Calling, Responsible AI, A/B Testing, Application Performance Management, Retrieval-Augmented Generation, Model Evaluation, OpenAI API, Scalability, API Design

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    Nutrición y entrenamiento deportivo: activos de innovación

    Skills you'll gain: Sports Medicine, Coaching, Athletic Training, Physical Stamina, Exercise Science, Performance Analysis, Nutrition and Diet, Nutrition Education, Leadership, Automation, Teamwork, Performance Reporting, Injury Prevention, AI Personalization, Collaboration, Innovation, Data Management, Technology Solutions, Health Technology, Communication

    Beginner · Specialization · 3 - 6 Months

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

    Coursera

    Orchestrate, Evaluate, and Release GenAI Systems

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), AI Orchestration, Dependency Analysis, Application Deployment, Continuous Deployment, Generative AI, Release Management, Regression Testing, Cloud Deployment, Verification And Validation, Site Reliability Engineering, CI/CD, Model Evaluation, Continuous Delivery, Data-Driven Decision-Making, Application Performance Management, Software Technical Review, Kubernetes, System Requirements

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    RStudio for Six Sigma - Hypothesis Testing

    Skills you'll gain: Statistical Hypothesis Testing, Logistic Regression, Correlation Analysis, Six Sigma Methodology, R (Software), R Programming, Statistical Programming, Statistical Analysis, Statistical Methods, Regression Analysis, Probability & Statistics, Data Literacy, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    SAS

    Data Literacy in Practice

    Skills you'll gain: Exploratory Data Analysis, Data Visualization, Data Literacy, Data Presentation, Data Storytelling, Data Analysis, Data Cleansing, Data Preprocessing, Technical Communication

    5
    Rating, 5 out of 5 stars
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    8 reviews

    Beginner · Course · 1 - 4 Weeks

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    J

    Johns Hopkins University

    Introduction to Systematic Review and Meta-Analysis

    Skills you'll gain: Clinical Research, Qualitative Research, Data Synthesis, Scientific Methods, Research Methodologies, Data Collection, Quantitative Research, Risk Analysis, Statistical Methods, Statistical Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.6K reviews

    Mixed · Course · 1 - 3 Months

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

    Macquarie University

    Cyber Security: Data, Privacy and AI Security

    Skills you'll gain: AI Security, Information Privacy, Personally Identifiable Information, Data Security, Threat Modeling, Vulnerability Assessments, Responsible AI, Data Governance, Data Management, Cyber Security Strategy, Data Integrity, Data Loss Prevention, Cloud Security, Cybersecurity, Security Awareness, Artificial Intelligence and Machine Learning (AI/ML), Security Management, Security Controls, Cyber Operations, Data Science

    4.2
    Rating, 4.2 out of 5 stars
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    17 reviews

    Beginner · Specialization · 3 - 6 Months

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

    Coursera

    Automate, Analyze, and Evaluate ML Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Feature Engineering, Verification And Validation, Content Performance Analysis, Machine Learning, Data Ethics, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Project Planning: Putting It All Together

    Skills you'll gain: Project Management, Project Planning, Communication Planning, Project Documentation, Milestones (Project Management), Project Schedules, Risk Management, Cost Management, Budgeting, Estimation, Procurement, Stakeholder Communications, Strategic Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    15K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Feature Engineering

    Skills you'll gain: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, MLOps (Machine Learning Operations), Model Evaluation, Data Pipelines, Keras (Neural Network Library), Data Transformation, Data Modeling, Data Store, Real Time Data, Machine Learning, Data Storage

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 3 Months

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

  • Kotlin for Java Developers: JetBrains
  • AI for Business Leaders: University of Maryland, College Park
  • Benchmark & Optimize LLM App Performance: Coursera
  • Nutrición y entrenamiento deportivo: activos de innovación: Real Madrid Graduate School Universidad Europea
  • Orchestrate, Evaluate, and Release GenAI Systems: Coursera
  • RStudio for Six Sigma - Hypothesis Testing: Coursera
  • Data Literacy in Practice: SAS
  • Introduction to Systematic Review and Meta-Analysis: Johns Hopkins University
  • Cyber Security: Data, Privacy and AI Security: Macquarie University
  • Automate, Analyze, and Evaluate ML Experiments: Coursera

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