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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.


More to explore:

Popular Statistics For Data Science Courses and Certifications


  • Status: Preview
    Preview
    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
    ·
    20K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Recommender Systems

    Skills you'll gain: AI Personalization, Model Evaluation, Machine Learning Algorithms, Taxonomy, Decision Support Systems, Business Metrics, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Benchmarking, Data Validation, Exploratory Data Analysis, A/B Testing, Analysis, Predictive Analytics, Predictive Modeling

    4.3
    Rating, 4.3 out of 5 stars
    ·
    831 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    E

    EDUCBA

    Data Center Security Management with Microsoft System Center

    Skills you'll gain: Incident Response, Data Centers, DevSecOps, System Monitoring, Threat Detection, Infrastructure Security, Microsoft Servers, Security Management, Payment Card Industry (PCI) Data Security Standards, Information Systems Security, Windows Servers, IT Infrastructure, Security Information and Event Management (SIEM), Disaster Recovery, IT Automation, Virtual Machines, Configuration Management

    4.9
    Rating, 4.9 out of 5 stars
    ·
    54 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Java Programming for Beginners

    Skills you'll gain: Java Programming, Java, Development Environment, Computer Programming, Integrated Development Environments, Object Oriented Programming (OOP), Data Structures, File I/O, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    117 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    B

    Birla Institute of Technology & Science, Pilani

    Formal Languages and Applications

    Skills you'll gain: Theoretical Computer Science, Computer Programming, Pseudocode, Algorithms, Computer Science, Formal Learning, Software Engineering, Program Development, Data Science, Analysis, Debugging, Technical Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    SQL for Data Science with R

    Skills you'll gain: Database Design, Relational Databases, SQL, Databases, R Programming, Database Management, Data Science, Statistical Programming, Data Modeling, Data Analysis Software, Query Languages, Data Manipulation, Data Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    184 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Generative AI Software Engineering

    Skills you'll gain: Claude Code, Prompt Engineering, ChatGPT, Generative AI Agents, Prompt Patterns, Generative AI, Multimodal Prompts, AI Workflows, AI Orchestration, LLM Application, Productivity, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Software Engineering, Software Development Tools, Software Development, Software Architecture, Automation, Software Testing, Software Design

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Functional Programming in Scala

    Skills you'll gain: Scala Programming, Apache Spark, User Interface (UI), Distributed Computing, Programming Principles, Big Data, Data Processing, Software Design, Data Structures, Software Design Patterns, Functional Design, Data Manipulation, Object Oriented Programming (OOP), Heat Maps, Interactive Data Visualization, Computer Programming, Real Time Data, Visualization (Computer Graphics), Geospatial Information and Technology, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Python Data Products for Predictive Analytics

    Skills you'll gain: Model Evaluation, Model Deployment, Supervised Learning, Feature Engineering, Predictive Modeling, Data Processing, Data Manipulation, Predictive Analytics, MLOps (Machine Learning Operations), Classification Algorithms, Applied Machine Learning, Data Visualization, Design Thinking, Web Scraping, Machine Learning Algorithms, Flask (Web Framework), Data Visualization Software, Data Validation, Machine Learning, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    249 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    350 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Fundamentals of Machine Learning for Healthcare

    Skills you'll gain: Healthcare Ethics, Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Responsible AI, Artificial Neural Networks, Healthcare Industry Knowledge, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Deep Learning, Convolutional Neural Networks, Health Policy, Data Preprocessing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    601 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Getting Started with SAS Visual Analytics

    Skills you'll gain: SAS (Software), Data Quality, Data Analysis, Exploratory Data Analysis, Virtual Environment, Data Manipulation, Interactive Data Visualization, Data Access, Data Preprocessing, Business Reporting, Business Analysis, Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    889 reviews

    Beginner · Course · 1 - 4 Weeks

1…717273…834

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

  • Successful Negotiation: Essential Strategies and Skills: University of Michigan
  • Recommender Systems: University of Minnesota
  • Data Center Security Management with Microsoft System Center: EDUCBA
  • Java Programming for Beginners: IBM
  • Formal Languages and Applications: Birla Institute of Technology & Science, Pilani
  • SQL for Data Science with R: IBM
  • Generative AI Software Engineering: Vanderbilt University
  • Functional Programming in Scala: École Polytechnique Fédérale de Lausanne
  • Python Data Products for Predictive Analytics: University of California San Diego
  • IBM AI Enterprise Workflow: IBM

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