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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


  • I

    IBM

    IBM Relational Database Administrator with GenAI

    Skills you'll gain: Extract, Transform, Load, Data Warehousing, Web Scraping, Database Administration, Database Design, Relational Databases, Linux Commands, Data Pipelines, SQL, Database Management, Apache Kafka, Apache Airflow, Bash (Scripting Language), Database Architecture and Administration, Shell Script, IBM DB2, Generative AI, Data Engineering, Data Import/Export, Data Security

    4.6
    Rating, 4.6 out of 5 stars
    ·
    61K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • G

    Google

    Foundations of User Experience (UX) Design

    Skills you'll gain: User Experience, User Experience Design, User Research, Design Thinking, Persona (User Experience), Usability, User Centered Design, User Interface (UI), Mockups, Prototyping, Sprint Retrospectives, Wireframing, Sprint Planning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    75K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Trending in AI
    Trending in AI
    G

    Google Cloud

    Introduction to Generative AI

    Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence, Machine Learning Methods

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

    Beginner · Course · 1 - 4 Weeks

  • U

    University of California, Irvine

    Work Smarter, Not Harder: Time Management for Personal & Professional Productivity

    Skills you'll gain: Time Management, Scheduling, Strategic Prioritization, Productivity Software, Professionalism, Planning, Overcoming Obstacles, Communication Strategies, Crisis Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17K reviews

    Beginner · Course · 1 - 4 Weeks

  • M

    Microsoft

    Data Analysis and Visualization with Power BI

    Skills you'll gain: Dashboard, Power BI, Data Storytelling, Data Visualization Software, Data Visualization, Data Presentation, Advanced Analytics, Statistical Reporting, Interactive Data Visualization, Business Intelligence, Data Analysis, Web Content Accessibility Guidelines

    4.7
    Rating, 4.7 out of 5 stars
    ·
    999 reviews

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    IBM Back-End Development

    Skills you'll gain: Cloud Deployment, Software Development Life Cycle, Open Web Application Security Project (OWASP), Istio, Linux Commands, Software Architecture, Application Deployment, Kubernetes, NoSQL, Bash (Scripting Language), Restful API, MongoDB, Shell Script, Django (Web Framework), Object-Relational Mapping, Git (Version Control System), Grafana, Microservices, Data Import/Export, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    53K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • I

    IBM

    Generative AI: Prompt Engineering Basics

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, AI Workflows, Context Management, Decision Making

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    IBM Full Stack Software Developer

    Skills you'll gain: Cloud Deployment, Software Development Life Cycle, CI/CD, Cloud-Native Computing, Istio, Software Architecture, Node.JS, React Redux, Cloud Computing Architecture, Application Deployment, Restful API, Responsive Web Design, Django (Web Framework), Git (Version Control System), HTML and CSS, Server Side, Cloud Computing, Data Ethics, Data Import/Export, Engineering Software

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • R

    Rice University

    Finance for Non-Finance Professionals

    Skills you'll gain: Capital Budgeting, Cash Flows, Finance, Financial Analysis, Business Valuation, Return On Investment, Financial Management, Corporate Finance, Case Studies, Investment Management, Risk Analysis, Financial Accounting, Capital Markets

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.8K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Pennsylvania

    English for Journalism

    Skills you'll gain: Journalism, Research, Interviewing Skills, Vocabulary, Media and Communications, Grammar, Electronic Media, Digital Publishing, English Language, Storytelling, Editing, Trend Analysis, Ethical Standards And Conduct

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Popular This Week
    Popular This Week
    I

    IBM

    Applied Software Engineering Fundamentals

    Skills you'll gain: Software Development Life Cycle, Linux Commands, Software Architecture, Bash (Scripting Language), Restful API, Shell Script, Git (Version Control System), GitHub, Software Design, Flask (Web Framework), Version Control, File Management, Linux, Software Development Methodologies, Software Design Patterns, Application Deployment, Data Import/Export, Programming Principles, Web Scraping, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    51K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Trending in AI
    Trending in AI
    D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    38K reviews

    Beginner · Specialization · 1 - 3 Months

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

  • IBM Relational Database Administrator with GenAI: IBM
  • Foundations of User Experience (UX) Design: Google
  • Introduction to Generative AI : Google Cloud
  • Work Smarter, Not Harder: Time Management for Personal & Professional Productivity: University of California, Irvine
  • Data Analysis and Visualization with Power BI: Microsoft
  • IBM Back-End Development: IBM
  • Generative AI: Prompt Engineering Basics: IBM
  • IBM Full Stack Software Developer: IBM
  • Finance for Non-Finance Professionals: Rice University
  • English for Journalism: University of Pennsylvania

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