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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: Free Trial
    Free Trial
    G

    Google

    Share Data Through the Art of Visualization

    Skills you'll gain: Data Storytelling, Data Visualization, Data Presentation, Interactive Data Visualization, Tableau Software, Presentations, Data Visualization Software, Dashboard, Dashboard Creation, Data Analysis, Technical Communication, Web Content Accessibility Guidelines, Driving engagement, Design Elements And Principles

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Fitting Statistical Models to Data with Python

    Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Advanced Analytics, Data Analysis, Logistic Regression, Exploratory Data Analysis, Dependency Analysis, Python Programming, Data Visualization Software

    4.4
    Rating, 4.4 out of 5 stars
    ·
    718 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Key Technologies for Business

    Skills you'll gain: Cloud Infrastructure, Responsible AI, Cloud Platforms, Cloud Computing, Cloud Computing Architecture, Cloud Services, Cloud Development, Data Literacy, Cloud Deployment, Machine Learning Methods, Data Mining, Cloud Security, Generative AI Agents, Generative AI, Cloud Technologies, Prompt Patterns, Big Data, Data Analysis, Data Science, Business

    4.7
    Rating, 4.7 out of 5 stars
    ·
    107K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Preparing Data for Analysis with Microsoft Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Power BI, Data Analysis, Timelines, Data Management, Data Entry, Data Presentation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Software Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Data Ethics, Generative AI Agents, ChatGPT, Software Design Documents, Software Design, LLM Application, AI literacy, AI Integrations, Software Architecture, Agentic Workflows, Continuous Integration, Model Evaluation, Software Development, Artificial Intelligence and Machine Learning (AI/ML), Application Security, Software Engineering, Augmented and Virtual Reality (AR/VR)

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

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    SQL for Data Analysis and Business Insights

    Skills you'll gain: Stored Procedure, MySQL Workbench, SQL, Data Cleansing, Data-Driven Decision-Making, MySQL, Exploratory Data Analysis, Database Design, Data Presentation, Data Manipulation, Data Integration, Relational Databases, Data Import/Export, Database Management, Query Languages, Database Software, Report Writing, GitHub, Performance Tuning, Jupyter

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Foundations of Probability and Statistics

    Skills you'll gain: Probability, Statistical Inference, Estimation, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Bayesian Statistics, Markov Model, Artificial Intelligence and Machine Learning (AI/ML), Statistical Analysis, Sampling (Statistics), Applied Mathematics, Artificial Intelligence, Generative AI, Data Analysis, Correlation Analysis, Data Science, Machine Learning Algorithms, Mathematical Theory & Analysis

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    363 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free
    Free
    P

    Princeton University

    Algorithms, Part I

    Skills you'll gain: Data Structures, Algorithms, Graph Theory, Java, Performance Testing, Java Programming, Computational Thinking, Memory Management, Spatial Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12K reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Colorado Boulder

    Science of Exercise

    Skills you'll gain: Exercise Science, Physiology, Nutrition and Diet, Behavioral Health, Human Musculoskeletal System, Health Assessment, Pharmacology, Public Health and Disease Prevention, Immunology, Preventative Care, Respiration, Nutritional Assessment, Endocrinology, Chronic Diseases, Vital Signs, Biochemistry, Public Health

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

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Business Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Responsible AI, Business Analysis, Data-Driven Decision-Making, ChatGPT, Data Analysis, AI Enablement, AI Integrations, Business Analytics, LLM Application, AI literacy, Data Storytelling, Artificial Intelligence, Business Process Automation, Artificial Intelligence and Machine Learning (AI/ML), Business Strategy, Augmented and Virtual Reality (AR/VR), Machine Learning

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

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Unit Testing, Software Development Life Cycle, Retrieval-Augmented Generation, Large Language Modeling, Software Architecture, Responsible AI, Computer Vision, LangChain, Generative AI, Javascript, IBM Cloud, Data Ethics, Data Import/Export, AI Workflows, Python Programming, Software Development, Machine Learning, Data Science

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    83K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    D

    Deep Teaching Solutions

    Learning How to Learn: Powerful mental tools to help you master tough subjects

    Skills you'll gain: Learning Strategies, Lifelong Learning, Time Management, Learning Theory, Productivity, Growth Mindedness, Mental Concentration, Creativity, Self-Awareness, Habit Formation, Adaptability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    93K reviews

    Beginner · Course · 1 - 4 Weeks

1…91011…834

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

  • Share Data Through the Art of Visualization: Google
  • Fitting Statistical Models to Data with Python: University of Michigan
  • Key Technologies for Business: IBM
  • Preparing Data for Analysis with Microsoft Excel: Microsoft
  • Generative AI for Software Developers: IBM
  • SQL for Data Analysis and Business Insights: Coursera
  • Foundations of Probability and Statistics: University of Colorado Boulder
  • Algorithms, Part I: Princeton University
  • Science of Exercise: University of Colorado Boulder
  • Generative AI for Business Analysts: IBM

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