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    • Statistics For Data Science

    Statistics for Data Science Courses Online

    Master statistics for data science applications. Learn about statistical techniques, data analysis, and machine learning models.

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    Explore the Statistics for Data Science Course Catalog

    • Status: Preview
      Preview
      T

      The University of North Carolina at Chapel Hill

      Epidemiology: The Basic Science of Public Health

      Skills you'll gain: Epidemiology, Public Health and Disease Prevention, Public Health, Infectious Diseases, Research Design, Health Policy, Biostatistics, Science and Research, Health Care, Statistical Analysis

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

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Data Science Capstone

      Skills you'll gain: Plotly, Exploratory Data Analysis, Predictive Modeling, Data Science, Data-Driven Decision-Making, Data Presentation, Data Analysis, Pandas (Python Package), Web Scraping, Statistical Modeling, Data Wrangling, Machine Learning Methods, Data Collection, GitHub

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of Amsterdam

      Classical Sociological Theory

      Skills you'll gain: Sociology, Social Studies, Social Sciences, Socioeconomics, Culture, Political Sciences, Economics, Qualitative Research, Research Methodologies

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      G

      Google

      Google IT Support

      Skills you'll gain: Computer Networking, Package and Software Management, Network Troubleshooting, Systems Administration, Cloud Infrastructure, IT Infrastructure, Information Systems Security, TCP/IP, Network Security, File Systems, Microsoft Windows, Computer Security, Network Architecture, Application Security, Desktop Support, Computer Hardware, Technical Support, Interviewing Skills, Applicant Tracking Systems, Professional Development

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      206K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: Linear Algebra

      Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Transformation, Data Science, Jupyter, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Exploratory Data Analysis, Prompt Engineering, Data Wrangling, Large Language Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), Generative AI, Restful API, ChatGPT, Keras (Neural Network Library), Data Transformation, Supervised Learning, Flask (Web Framework), Data Analysis, Data Cleansing, Data Manipulation, Deep Learning, Jupyter, Regression Analysis, Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      ·
      91K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Excel

      Skills you'll gain: Excel Macros, Prompt Engineering, Microsoft Excel, Data Cleansing, Excel Formulas, Pivot Tables And Charts, Microsoft Copilot, Dashboard, Forecasting, Data Presentation, Data Storytelling, Data Processing, Data Visualization Software, Data Manipulation, Data Visualization, Predictive Modeling, Data Quality, Statistical Analysis, Data Transformation, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      175 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Preview
      Preview
      U

      University of Pennsylvania

      Computational Thinking for Problem Solving

      Skills you'll gain: Computational Thinking, Algorithms, Pseudocode, Problem Solving, Python Programming, Data Structures, Computer Hardware, Computer Programming, Analysis, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Key Technologies for Business

      Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Security, Cloud Technologies, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Hosting, Cloud Engineering, Cloud Solutions, Cloud Computing, Generative AI, Big Data, Data Analysis, Data Science, ChatGPT, Natural Language Processing, Market Opportunities, Business

      4.7
      Rating, 4.7 out of 5 stars
      ·
      103K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Google AI Essentials

      Skills you'll gain: Prompt Engineering, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Process Optimization, Productivity Software, Workforce Development, Digital Transformation, Innovation, Technical Writing, Emerging Technologies, Operational Efficiency, Business Solutions, Machine Learning Software, Data Security, Critical Thinking, Analysis, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7.3K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Python 3 Programming

      Skills you'll gain: Unified Modeling Language, JSON, Object Oriented Programming (OOP), Software Design, Debugging, Object Oriented Design, Data Processing, Web Scraping, Unit Testing, Programming Principles, Python Programming, Data Import/Export, Restful API, Image Analysis, Data Manipulation, Jupyter, Computer Programming, Maintainability, Data Structures, File Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      23K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Pittsburgh

      Mathematical Foundations for Data Science and Analytics

      Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

      Build toward a degree

      Beginner · Specialization · 1 - 3 Months

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

    • Epidemiology: The Basic Science of Public Health: The University of North Carolina at Chapel Hill
    • Applied Data Science Capstone: IBM
    • Classical Sociological Theory : University of Amsterdam
    • Google IT Support: Google
    • Mathematics for Machine Learning: Linear Algebra: Imperial College London
    • IBM Generative AI Engineering: IBM
    • Microsoft Excel: Microsoft
    • Computational Thinking for Problem Solving: University of Pennsylvania
    • Key Technologies for Business: IBM
    • Google AI Essentials: Google

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