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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
    Status: AI skills
    AI skills
    G

    Google

    Google UX Design

    Skills you'll gain: Responsive Web Design, Storyboarding, Wireframing, User Experience Design, UI/UX Research, Usability Testing, Information Architecture, Presentations, User Research, Web Design, Figma (Design Software), Design Reviews, Persona (User Experience), Web Content Accessibility Guidelines, User Story, Data Ethics, User Centered Design, Usability, Interviewing Skills, Applicant Tracking Systems

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    97K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Effective Communication Capstone Project

    Skills you'll gain: Presentations, Peer Review, Business Writing, Project Design, Data Presentation, Graphic Design, Microsoft PowerPoint, Branding, Communication, Public Speaking

    4.7
    Rating, 4.7 out of 5 stars
    ·
    171 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    S

    Starweaver

    Threat Hunting Techniques

    Skills you'll gain: Cyber Threat Hunting, Splunk, Threat Detection, Jupyter, Anomaly Detection, Threat Management, Cybersecurity, Data Analysis, Data Science, Applied Machine Learning, Security Information and Event Management (SIEM), Pandas (Python Package), Interactive Data Visualization, Data Cleansing, Data Transformation, MLOps (Machine Learning Operations), Unsupervised Learning, Machine Learning Methods, Automation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    T

    Tableau Learning Partner

    Data Analysis with Tableau

    Skills you'll gain: Exploratory Data Analysis, Tableau Software, Data Preprocessing, Data Analysis, Descriptive Statistics, Predictive Analytics, Box Plots, Statistical Analysis, Scatter Plots, Data Visualization Software, Trend Analysis, Analytics, Histogram, Business Analytics, Data Manipulation, Regression Analysis, Correlation Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    103 reviews

    Beginner · Course · 1 - 4 Weeks

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

    Coursera

    Present Insights: Drive Prioritization with Data Stories

    Skills you'll gain: Data Storytelling, Data Presentation, Strategic Prioritization, User Research, Data-Driven Decision-Making, Business Analytics, Persona Development, Stakeholder Communications, Customer Insights, Analytics, Presentations, Quantitative Research

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Level Up: Java-Powered Machine Learning

    Skills you'll gain: Data Preprocessing, Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), JUnit, Decision Tree Learning, Build Tools, Performance Tuning, Classification And Regression Tree (CART), Java, Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Machine Learning, Object Oriented Programming (OOP), Apache

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Fundamentals of Visualization with Tableau

    Skills you'll gain: Data Visualization, Interactive Data Visualization, Data Visualization Software, Data Presentation, Data Literacy, Data Ethics, Data Storytelling, Visualization (Computer Graphics), Dashboard, Tableau Software, Data Manipulation, Data Import/Export

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D
    U

    Multiple educators

    Object Oriented Programming in Java

    Skills you'll gain: Unit Testing, Data Structures, Event-Driven Programming, File I/O, Interactive Data Visualization, Java, Java Programming, User Interface (UI), Object Oriented Programming (OOP), JUnit, Debugging, Object Oriented Design, Computer Programming, Cryptography, Software Engineering, Performance Tuning, Algorithms, Data Analysis, Software Design, Problem Solving

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Business Analytics

    Skills you'll gain: People Analytics, Descriptive Analytics, Financial Statement Analysis, Business Analytics, Data-Driven Decision-Making, Customer Analysis, Human Capital, Human Resource Strategy, Operations Research, Financial Analysis, Marketing Analytics, Analytics, Operational Efficiency, Predictive Analytics, Customer Insights, Financial Data, Operational Analysis, Peer Review, Human Resources, Financial Accounting

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Computer Networks and Network Security

    Skills you'll gain: Networking Hardware, TCP/IP, Network Security, Network Protocols, Endpoint Detection and Response, Network Routing, Cybersecurity, Local Area Networks, Dynamic Host Configuration Protocol (DHCP), Firewall, General Networking, Information Systems Security, Intrusion Detection and Prevention, Endpoint Security, Network Infrastructure, Network Planning And Design, Wireless Networks, Security Information and Event Management (SIEM), Network Analysis, Data Loss Prevention

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

    Intermediate · Course · 1 - 3 Months

Searches related to statistics for data science

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

  • Google UX Design: Google
  • Effective Communication Capstone Project: University of Colorado Boulder
  • Machine Learning with Python: IBM
  • Threat Hunting Techniques: Starweaver
  • Data Analysis with Tableau: Tableau Learning Partner
  • Present Insights: Drive Prioritization with Data Stories: Coursera
  • Level Up: Java-Powered Machine Learning: Coursera
  • Introduction to Machine Learning: Duke University
  • Fundamentals of Visualization with Tableau: University of California, Davis
  • Object Oriented Programming in Java: Duke University

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