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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: Free Trial
    Free Trial
    U

    University of Colorado System

    Business Intelligence Concepts, Tools, and Applications

    Skills you'll gain: Business Intelligence, Data Visualization, Decision Support Systems, Data Warehousing, Business Process Management, Data Visualization Software, Performance Measurement, MicroStrategy, Dashboard, Business Analytics, Key Performance Indicators (KPIs), Data-Driven Decision-Making, Competitive Intelligence, Business Reporting, Data Analysis, Data Analysis Software, Lean Six Sigma

    4.5
    Rating, 4.5 out of 5 stars
    ·
    650 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Predictive Modeling and Analytics

    Skills you'll gain: Predictive Analytics, Logistic Regression, Exploratory Data Analysis, Data Visualization, Data Modeling, Business Analytics, Data Analysis, Statistical Modeling, Regression Analysis, Data Preprocessing, Supervised Learning, Decision Tree Learning, Data Cleansing, Artificial Neural Networks

    3.6
    Rating, 3.6 out of 5 stars
    ·
    604 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced R Programming

    Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Programming Principles, Data Manipulation, Data Structures, Software Design Patterns, Performance Tuning, Performance Testing

    4.2
    Rating, 4.2 out of 5 stars
    ·
    575 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Healthcare Analytics Essentials

    Skills you'll gain: Value-Based Care, Health Informatics, Business Analytics, Health Information Management and Medical Records, Analytics, Patient Safety, Health Care, Patient-centered Care, Statistical Analysis, Quantitative Research, Performance Measurement, Data Analysis, Data-Driven Decision-Making, Descriptive Analytics, Organizational Strategy, Risk Analysis, Peer Review, Strategic Thinking, Data Management, Systems Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    39 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    É

    École Polytechnique

    Étudier en France: French Intermediate course B1-B2

    Skills you'll gain: Language Competency, Language Learning, Oral Comprehension, Grammar, Higher Education, Oral Expression, Intercultural Competence, Vocabulary, Lecturing, Writing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    G

    Google Cloud

    Google Cloud Data Analytics

    Skills you'll gain: Looker (Software), Responsible AI, Data Lakes, Data Storytelling, Data Governance, Google Gemini, Data Visualization, Dashboard, Data Architecture, Data Pipelines, Data Visualization Software, Data Management, Cloud Infrastructure, Generative AI, Data Cleansing, Gemini, Cloud Storage, Data Transformation, Identity and Access Management, Data Literacy

    4.5
    Rating, 4.5 out of 5 stars
    ·
    217 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure AI Fundamentals AI-900 Exam Prep

    Skills you'll gain: Responsible AI, Anomaly Detection, Image Analysis, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Applied Machine Learning, AI Enablement, Data Ethics, Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, AI Workflows, Model Deployment, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of California San Diego

    Code Free Data Science

    Skills you'll gain: Predictive Modeling, Data Manipulation, Predictive Analytics, Big Data, Data Processing, Data Mining, Data Analysis, Data Science, Data-Driven Decision-Making, Unsupervised Learning, Statistical Analysis, Analytics, No-Code Development, Software Installation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    215 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Decisions, Decisions: Dashboards and Reports

    Skills you'll gain: Dashboard, Business Intelligence, Tableau Software, Business Reporting, Data Presentation, Data Visualization Software, Data Visualization, Stakeholder Communications, Interviewing Skills, LinkedIn, Presentations, Performance Improvement, Performance Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Advanced · 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
    ·
    17K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Trading, Machine Learning & GCP

    Skills you'll gain: Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Cloud Platforms, Model Deployment, Predictive Modeling, Financial Forecasting, Finance

    4
    Rating, 4 out of 5 stars
    ·
    890 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud DevOps Engr

    Skills you'll gain: Site Reliability Engineering, Kubernetes, Application Performance Management, Google Cloud Platform, Cloud Infrastructure, System Monitoring, Prompt Engineering, Application Deployment, Identity and Access Management, Cloud Deployment, CI/CD, Containerization, Cloud Storage, Cloud Security, Cloud Services, Cloud Management, Service Level Agreement, Safety Culture, Network Monitoring, Culture Transformation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    54K reviews

    Beginner · Professional Certificate · 3 - 6 Months

1…636465…834

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

  • Business Intelligence Concepts, Tools, and Applications: University of Colorado System
  • Predictive Modeling and Analytics : University of Colorado Boulder
  • Advanced R Programming: Johns Hopkins University
  • Healthcare Analytics Essentials : Northeastern University
  • Étudier en France: French Intermediate course B1-B2: École Polytechnique
  • Google Cloud Data Analytics: Google Cloud
  • Microsoft Azure AI Fundamentals AI-900 Exam Prep: Microsoft
  • Code Free Data Science: University of California San Diego
  • Decisions, Decisions: Dashboards and Reports: Google
  • Start the UX Design Process: Empathize, Define, and Ideate: Google

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