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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


  • U

    University of Amsterdam

    Quantitative Methods

    Skills you'll gain: Scientific Methods, Research Design, Sampling (Statistics), Science and Research, Research, Research Methodologies, Surveys, Quantitative Research, Social Sciences, Experimentation, Ethical Standards And Conduct

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Mixed · Course · 1 - 3 Months

  • D

    Duke University

    Managing Big Data with MySQL

    Skills you'll gain: Database Design, MySQL, Relational Databases, SQL, Data Modeling, Databases, Business Intelligence, Big Data, Business Analysis, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.1K reviews

    Mixed · Course · 1 - 3 Months

  • G

    Google

    From Likes to Leads: Interact with Customers Online

    Skills you'll gain: Social Media Marketing, Social Media Strategy, Social Media Management, Content Creation, Instagram, Digital Marketing, Digital Advertising, Customer Engagement, Brand Awareness, Marketing Analytics, Target Audience

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4K reviews

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    IBM Product Manager

    Skills you'll gain: AI Product Strategy, User Story, Usability Testing, New Product Development, Product Management, Product Lifecycle Management, Product Development, Innovation, Agile Software Development, Scrum (Software Development), Product Roadmaps, Agile Methodology, Kanban Principles, Responsible AI, Generative AI, Backlogs, ChatGPT, Test Planning, Registration, Leadership

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.5K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • S

    SAS

    Statistics You Need to Know for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Supervised Learning, Applied Machine Learning, Model Evaluation, Data Modeling

    Intermediate · Course · 1 - 3 Months

  • L

    LearnQuest

    Cloud Computing Basics (Cloud 101)

    Skills you'll gain: Cloud Hosting, Cloud Computing, Cloud Platforms, Cloud Services, Cloud Deployment, Cloud Technologies, Cloud Infrastructure, Cloud Computing Architecture, Public Cloud, Infrastructure As A Service (IaaS), Managed Services, Serverless Computing, Virtual Machines, Hybrid Cloud Computing, Software As A Service, Microsoft Azure, Platform As A Service (PaaS), Emerging Technologies, Containerization, Scalability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.5K reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google

    Design a User Experience for Social Good & Prepare for Jobs

    Skills you'll gain: User Experience Design, User Centered Design, Persona (User Experience), Responsive Web Design, Human Centered Design, Design, Design Research, Design Thinking, Usability Testing, Prototyping, Generative AI

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

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Virginia

    Agile Development

    Skills you'll gain: Usability Testing, Agile Product Development, User Story, Continuous Delivery, Persona Development, Agile Software Development, Sprint Planning, Peer Review, Agile Methodology, Product Testing, Agile Project Management, Team Performance Management, Team Management, Design Thinking, Team Building, Customer Analysis, Analytics, Product Development, Business Analytics, Persona (User Experience)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.9K reviews

    Beginner · Specialization · 3 - 6 Months

  • K

    Kennesaw State University

    Six Sigma Green Belt

    Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Capability, Team Management, Quality Improvement, Root Cause Analysis, Six Sigma Methodology, Lean Six Sigma, Lean Methodologies, Team Building, Exploratory Data Analysis, Process Improvement, Quality Control, Probability & Statistics, Statistical Methods, Process Analysis, Lean Manufacturing, Statistical Analysis, Process Mapping, Data Collection

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Colorado Boulder

    Excel/VBA for Creative Problem Solving

    Skills you'll gain: Excel Macros, Visual Basic (Programming Language), Programming Principles, Data Import/Export, Microsoft Excel, Problem Solving, Computer Programming, Spreadsheet Software, Simulations, Code Review, Algorithms, UI Components, Debugging, Data Management, User Interface (UI), File I/O, Data Cleansing, Automation, Data Validation

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

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Illinois Urbana-Champaign

    Accelerated Computer Science Fundamentals

    Skills you'll gain: C++ (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Graph Theory, Development Environment, Data Storage, Engineering Software, Unstructured Data, Computer Programming, Algorithms, Data Storage Technologies, Debugging, Program Development, Database Systems, Database Theory, Network Routing, Theoretical Computer Science

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

    Intermediate · Specialization · 1 - 3 Months

  • I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Logistic Regression, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.4K reviews

    Intermediate · Specialization · 3 - 6 Months

1…636465…834

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

  • Quantitative Methods: University of Amsterdam
  • Managing Big Data with MySQL: Duke University
  • From Likes to Leads: Interact with Customers Online: Google
  • IBM Product Manager: IBM
  • Statistics You Need to Know for Machine Learning: SAS
  • Cloud Computing Basics (Cloud 101): LearnQuest
  • Design a User Experience for Social Good & Prepare for Jobs: Google
  • Agile Development: University of Virginia
  • Six Sigma Green Belt: Kennesaw State University
  • Excel/VBA for Creative Problem Solving: University of Colorado Boulder

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