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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


  • I

    Imperial College London

    Introduction to Statistics & Data Analysis in Public Health

    Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of London

    Mathematical Foundations for Computing

    Skills you'll gain: Theoretical Computer Science, Computational Logic, Programming Principles, Computer Science, Algorithms, Computational Thinking, Database Theory, Mathematical Modeling, Data Structures, General Mathematics, Applied Mathematics, Business Mathematics, Advanced Mathematics, Logical Reasoning, Problem Solving

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Introduction to Agile Development and Scrum

    Skills you'll gain: User Story, Agile Software Development, Scrum (Software Development), Agile Methodology, Kanban Principles, Backlogs, Sprint Retrospectives, Agile Project Management, Workflow Management, Sprint Planning, Team Management, Product Requirements, Lean Methodologies, Performance Measurement

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • M

    Microsoft

    Microsoft Azure AI Fundamentals AI-900 Exam Prep

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Michigan

    Internet History, Technology, and Security

    Skills you'll gain: Network Security, Network Protocols, Network Architecture, TCP/IP, Web Applications, Computer Networking, Encryption, Network Infrastructure, Innovation, Hypertext Markup Language (HTML)

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

    Beginner · Course · 1 - 3 Months

  • C

    Cloudera

    Foundations for Big Data Analysis with SQL

    Skills you'll gain: Database Design, Relational Databases, Databases, SQL, Big Data, Database Systems, NoSQL, Operational Databases, Data Warehousing, Data Management, Virtual Machines, Data Storage, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • D

    Duke University

    AI Product Management

    Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Project Management Life Cycle, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Model Deployment, Data Preprocessing, Human Centered Design, Machine Learning, Project Management, Product Management, Product Design, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Illinois Urbana-Champaign

    Mastering Money: Risk, Wealth, and Our Economy

    Skills you'll gain: Insurance, Portfolio Risk, Supply And Demand, Insurance Policies, Risk Management, Investments, Wealth Management, Risk Management Framework, Portfolio Management, Market Dynamics, Financial Planning, Investment Management, Finance, Economics, Asset Management, Financial Management, Economic Development, Behavioral Economics, Cost Benefit Analysis, Business Economics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.3K reviews

    Beginner · Specialization · 1 - 3 Months

  • S

    Stanford University

    Graph Search, Shortest Paths, and Data Structures

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Model, Programming Principles, Social Network Analysis, Network Analysis, Theoretical Computer Science, Network Routing, Computational Logic

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Illinois Urbana-Champaign

    Object-Oriented Data Structures in C++

    Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Development Environment, Engineering Software, Computer Programming, Data Structures, Debugging, Program Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Illinois Urbana-Champaign

    Digital Marketing Implementation: Executing Strategies in a Connected, Data-Driven World

    Skills you'll gain: Search Engine Marketing, Digital Marketing, Content Marketing, Web Analytics and SEO, Search Engine Optimization, Content Strategy, Marketing Planning, Marketing Strategy and Techniques, Social Media Marketing, Driving engagement, Social Media Strategy, Cross-Channel Marketing, Social Media, Marketing Automation, Campaign Management, Customer experience strategy (CX), User Experience, Brand Management, Customer Relationship Management (CRM) Software, AI Personalization

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.7K reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Introduction to Statistics & Data Analysis in Public Health: Imperial College London
  • Mathematical Foundations for Computing: University of London
  • Introduction to Agile Development and Scrum: IBM
  • Microsoft Azure AI Fundamentals AI-900 Exam Prep: Microsoft
  • Internet History, Technology, and Security: University of Michigan
  • Foundations for Big Data Analysis with SQL: Cloudera
  • AI Product Management: Duke University
  • Mastering Money: Risk, Wealth, and Our Economy: University of Illinois Urbana-Champaign
  • Graph Search, Shortest Paths, and Data Structures: Stanford University
  • Object-Oriented Data Structures in C++: University of Illinois Urbana-Champaign

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