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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
    D

    DeepLearning.AI

    Introduction to Data Engineering

    Skills you'll gain: Data Pipelines, Data Architecture, Requirements Analysis, Requirements Elicitation, Amazon Web Services, Data Infrastructure, Enterprise Architecture, Data Processing, System Requirements, Performance Tuning, Cloud Computing, Data Transformation, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    503 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Decision Intelligence, Bayesian Statistics, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Probability & Statistics, Network Analysis, Dependency Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Reproducible Research

    Skills you'll gain: Rmarkdown, Knitr, Data Sharing, General Science and Research, Statistical Reporting, Data Analysis, Statistical Analysis, R Programming, Verification And Validation, Technical Communication, Software Documentation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Generative AI for Cybersecurity Professionals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Cyber Threat Intelligence, Security Information and Event Management (SIEM), AI Security, Threat Modeling, AI literacy, Threat Detection, Cybersecurity, Incident Response, Malware Protection, Exploitation techniques, Artificial Intelligence and Machine Learning (AI/ML), Anomaly Detection, Augmented and Virtual Reality (AR/VR), Vulnerability Management, Model Evaluation, Incident Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

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

    Coursera

    Data Preparation & Applied Machine Learning

    Skills you'll gain: Data Preprocessing, Supervised Learning, Model Optimization, Feature Engineering, Pandas (Python Package), Data Wrangling, Exploratory Data Analysis, Data Quality, Model Training, Applied Machine Learning, Data Processing, Data Manipulation, Statistical Machine Learning, Data Transformation, Classification And Regression Tree (CART), Data Cleansing, Data Pipelines, Machine Learning, Data Modeling, Data Architecture

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Program Managers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, Program Management, Risk Management, Stakeholder Engagement, Project Management Institute (PMI) Methodology, Stakeholder Analysis, Strategic Decision-Making, AI literacy, Decision Intelligence, Stakeholder Management, AI Integrations, Artificial Intelligence and Machine Learning (AI/ML), Augmented and Virtual Reality (AR/VR), Governance, Model Evaluation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Front-End Developer

    Skills you'll gain: Bootstrap (Front-End Framework), Software Development Life Cycle, Cloud-Native Computing, Software Architecture, Browser Compatibility, User Centered Design, GitHub, CI/CD, Cloud Applications, Responsive Web Design, Cloud Development, NoSQL, Git (Version Control System), Webpack, HTML and CSS, Application Development, MongoDB, Agile Methodology, Front-End Web Development, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.6K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    M

    Microsoft

    Advanced Data Analysis with Generative AI

    Skills you'll gain: Generative AI, Feature Engineering, Predictive Modeling, Anomaly Detection, Predictive Analytics, Prompt Engineering, Trend Analysis, Time Series Analysis and Forecasting, Forecasting, Advanced Analytics, Data Analysis, Text Mining, Unstructured Data, AI Workflows, Data-Driven Decision-Making, Data Mining, Deep Learning, Data Transformation, Machine Learning, Data Visualization

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IT Fundamentals for Cybersecurity

    Skills you'll gain: Operating System Administration, IT Service Management, Cloud Computing, Governance Risk Management and Compliance, Information Technology Infrastructure Library, Malware Protection, Networking Hardware, Service Management, Identity and Access Management, Linux, Linux Commands, Incident Response, Network Security, Cybersecurity, TCP/IP, Linux Administration, Network Protocols, Cloud Computing Architecture, Cloud Security, Cyber Attacks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Use AI Responsibly

    Skills you'll gain: AI Security, AI literacy, Social Impact, Generative AI, Analysis, Critical Thinking, Data Security

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Java Developer

    Skills you'll gain: Software Development Life Cycle, Cloud-Native Computing, Software Architecture, Hibernate (Java), Database Design, Responsive Web Design, Docker (Software), Containerization, Git (Version Control System), GitHub, Object Oriented Programming (OOP), CI/CD, Restful API, Data Ethics, Java Programming, Model Deployment, Version Control, Database Management, Software Development, Software Design

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.8K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Total Data Quality

    Skills you'll gain: Data Quality, Quantitative Research, Data Validation, Data Integrity, Data Collection, Data Processing, Data Strategy, Data Analysis, Data Management, Data Preprocessing, Data Access, Statistical Analysis, Analysis, Sampling (Statistics), Verification And Validation, Design Strategies

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60 reviews

    Beginner · Specialization · 1 - 3 Months

1…444546…834

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

  • Introduction to Data Engineering: DeepLearning.AI
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Reproducible Research: Johns Hopkins University
  • IBM Generative AI for Cybersecurity Professionals: IBM
  • Data Preparation & Applied Machine Learning: Coursera
  • Generative AI for Program Managers: IBM
  • IBM Front-End Developer: IBM
  • Advanced Data Analysis with Generative AI: Microsoft
  • IT Fundamentals for Cybersecurity: IBM
  • Use AI Responsibly: Google

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