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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: Preview
    Preview
    P

    Peking University

    Chinese for Beginners

    Skills you'll gain: Language Learning, Language Competency, Vocabulary, Oral Comprehension, Grammar, Communication

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Advanced Statistical Techniques for Data Science

    Skills you'll gain: Model Evaluation, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Exploratory Data Analysis, Data Cleansing, Regression Analysis, Analytics, Data Analysis, Logistic Regression, Machine Learning, R Programming, Data Preprocessing, Statistical Modeling, Data Validation, R (Software), Data Mining, Statistical Programming, Predictive Modeling

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    48 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Generative AI HR Professional

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Generative AI, LLM Application, AI Enablement, Human Resources, Management Training And Development, Employee Performance Management, Performance Review, Professional Development, Policy Development, New Hire Orientations, Communication, Communication Planning, Human Development, Recruitment, Interviewing Skills, Talent Recruitment, Policy Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.1K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    Logical Operations

    Power BI: Data Analysis, Reporting, and Connecting

    Skills you'll gain: Power BI, Business Reporting, Business Intelligence, Data Storytelling, Business Intelligence Software, Data Visualization Software, Data Analysis, Microsoft Excel, Data Analysis Software, Data Modeling, Data Integration, Self Service Technologies, Data Management, Microsoft PowerPoint, Microsoft 365, Microsoft Office

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Neural Networks and Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Recurrent Neural Networks (RNNs), Python Programming, Linear Algebra, Calculus

    4.9
    Rating, 4.9 out of 5 stars
    ·
    124K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Skills for Business: Intermediate I

    Skills you'll gain: Microsoft Excel, Dashboard, Spreadsheet Software, Data Analysis Expressions (DAX), Consolidation, Business Reporting, Data Management, Data Integration, Data Cleansing, Automation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Introduction to Data Science and scikit-learn in Python

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Classification Algorithms, Data Preprocessing, Data Analysis, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Science, Statistical Hypothesis Testing, Supervised Learning, Statistical Methods, Data Structures

    3.8
    Rating, 3.8 out of 5 stars
    ·
    60 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Introduction to AI

    Skills you'll gain: Generative AI, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, LLM Application, Machine Learning, Natural Language Processing, Innovation, Critical Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Robotics, Business Logic, Risk Mitigation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Bioinformatics, Mathematical Modeling, Physiology, Recurrent Neural Networks (RNNs), Biology, Linear Algebra, Statistical Methods, Information Architecture, Differential Equations, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Nanyang Technological University, Singapore

    Introduction to Forensic Science

    Skills you'll gain: Criminal Investigation and Forensics, Scientific Methods, Chemistry, Blood Collection, Investigation, Case Studies, Biochemistry, Analytical Chemistry, Pharmacology, Laboratory Testing, Pathology, Molecular Biology, Deductive Reasoning, Estimation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    2.8K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    HTML, CSS, and Javascript for Web Developers

    Skills you'll gain: HTML and CSS, Ajax, Javascript, Responsive Web Design, Front-End Web Development, Web Design, Web Applications, Cascading Style Sheets (CSS), Development Environment, Web Development Tools, Web Content Accessibility Guidelines

    4.7
    Rating, 4.7 out of 5 stars
    ·
    17K reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Chinese for Beginners: Peking University
  • Advanced Statistical Techniques for Data Science: Illinois Tech
  • Generative AI HR Professional: Vanderbilt University
  • Power BI: Data Analysis, Reporting, and Connecting: Logical Operations
  • Neural Networks and Deep Learning: DeepLearning.AI
  • Excel Skills for Business: Intermediate I: Macquarie University
  • Introduction to Data Science and scikit-learn in Python: LearnQuest
  • Introduction to AI: Google
  • Introduction to Artificial Intelligence (AI): IBM
  • Computational Neuroscience: University of Washington

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