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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: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals, Part 1

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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
    ·
    4.8K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Artificial Intelligence, Markov Model, Algorithms, Linear Algebra, Probability Distribution

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Power Electronics

    Skills you'll gain: Power Electronics, Electronic Systems, Electrical Engineering, USB, Electrical Systems, Electronics, Electric Power Systems, Simulation and Simulation Software, Basic Electrical Systems

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Database systems

    Skills you'll gain: NoSQL, Data Warehousing, Database Systems, Relational Databases, Database Management, Extract, Transform, Load, SQL, Databases, Data Mining, Business Intelligence, Big Data, Database Architecture and Administration, Information Systems, MySQL, Predictive Analytics, Database Design, MongoDB, Analytics, Scalability, Database Management Systems

    4.3
    Rating, 4.3 out of 5 stars
    ·
    688 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    N

    Northwestern University

    Organizational Leadership

    Skills you'll gain: Influencing, Persuasive Communication, Design Thinking, Data-Driven Decision-Making, Leadership, Strategic Communication, Innovation, Collaboration, Crisis Management, Negotiation, Organizational Leadership, Ideation, Team Leadership, Resource Allocation, Human Centered Design, Teamwork, Motivational Skills, Corporate Communications, Marketing Strategies, Marketing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    P

    Packt

    LLM Engineer’s Handbook

    Skills you'll gain: Large Language Modeling, MLOps (Machine Learning Operations), Prompt Engineering, AWS SageMaker, Extract, Transform, Load, Data Pipelines, CI/CD, Supervised Learning, Application Deployment, Scalability, Performance Tuning

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    I

    International Institute of Information Technology, Hyderabad

    Fundamentals of Computer Organization

    Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Hardware, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    AI & Machine Learning: Apply, Build & Solve

    Skills you'll gain: Artificial Intelligence, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Michigan

    Model Thinking

    Skills you'll gain: Mathematical Modeling, Systems Thinking, Strategic Decision-Making, Innovation, Social Sciences, Strategic Thinking, Decision Making, Complex Problem Solving, Critical Thinking, Network Analysis, Economics, Probability, Market Dynamics

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Intuit

    Bookkeeping Basics

    Skills you'll gain: Bookkeeping, QuickBooks (Accounting Software), Financial Statements, Accounting Software, Financial Accounting, Ledgers (Accounting), Accounting, Accounting Records, Balance Sheet, Income Statement, General Ledger, Small Business Accounting, Ethical Standards And Conduct, Cash Flows

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Responsible AI, Artificial Neural Networks, Data Ethics, Computer Vision, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis, Performance Testing

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

    Intermediate · Specialization · 1 - 3 Months

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

  • Data Science Fundamentals, Part 1: Pearson
  • Agile Development: University of Virginia
  • Fundamentals of Reinforcement Learning: University of Alberta
  • Introduction to Power Electronics: University of Colorado Boulder
  • Database systems: Universidad Nacional Autónoma de México
  • Organizational Leadership: Northwestern University
  • LLM Engineer’s Handbook: Packt
  • Fundamentals of Computer Organization: International Institute of Information Technology, Hyderabad
  • AI & Machine Learning: Apply, Build & Solve: EDUCBA
  • Model Thinking: University of Michigan

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