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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
    Free
    U

    University of Alberta

    Science Literacy

    Skills you'll gain: Scientific Methods, Science and Research, General Science and Research, Research Methodologies, Research, Research Design, Deductive Reasoning, Peer Review, Experimentation, Media and Communications, Correlation Analysis, Journalism, Statistical Analysis, Probability & Statistics, Cultural Diversity, Descriptive Statistics, Communication

    4.4
    Rating, 4.4 out of 5 stars
    ·
    273 reviews

    Beginner · Course · 1 - 3 Months

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

    LearnQuest

    No-Code Machine Learning and Data Science for Everyone

    Skills you'll gain: Responsible AI, Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Model Evaluation, Data Literacy, No-Code Development, Business Analytics, Data Science, Business Analysis, Model Deployment, Applied Machine Learning, Data Ethics, Data Capture, MLOps (Machine Learning Operations), Machine Learning, Data Analysis, Predictive Modeling, Data Visualization

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Computer Communications

    Skills you'll gain: TCP/IP, Local Area Networks, Routing Protocols, Network Routing, Digital Communications, OSI Models, Network Protocols, Dynamic Host Configuration Protocol (DHCP), Network Planning And Design, Network Security, Network Architecture, Computer Networking, Network Infrastructure, Network Performance Management, Wireless Networks, Graph Theory, Telecommunications, Software-Defined Networking, Algorithms, System Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    T

    The University of Sydney

    Introduction to Calculus

    Skills you'll gain: Calculus, Integral Calculus, Algebra, Advanced Mathematics, Geometry, Engineering Calculations, Trigonometry, Arithmetic, Derivatives, Mathematical Modeling, Graphing, Estimation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Moneyball and Beyond

    Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Data Architecture for Modern Data Stacks

    Skills you'll gain: Star Schema, Snowflake Schema, Data Lakes, Data Governance, Data Warehousing, CI/CD, Database Design, Power BI, Data Pipelines, Data Management, Microsoft Azure, Real Time Data, Data Architecture, Extract, Transform, Load, Microsoft Copilot, Cost Control, Data Modeling, Transact-SQL, SQL, Cloud Infrastructure

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I
    S

    Multiple educators

    Generative AI for Growth Marketing

    Skills you'll gain: Prompt Patterns, MarTech, Strategic Marketing, AI Enablement, Personalized Service, Data Ethics, Customer Relationship Management (CRM) Software, Artificial Intelligence, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Responsible AI, AI Workflows, Deep Learning, Content Creation, Machine Learning, Image Analysis, Context Management, Decision Making

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Foundations of AI and Machine Learning

    Skills you'll gain: Model Deployment, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Cloud Deployment, Artificial Intelligence, Data Security, Application Frameworks, Machine Learning, Data Preprocessing, Data Pipelines, Scalability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    233 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Emory University

    AI for Marketing

    Skills you'll gain: AI Personalization, Generative AI, Marketing Automation, Customer Retention, Personalized Service, Marketing Operations, Marketing Analytics, Marketing Effectiveness, Data-Driven Decision-Making, Customer experience improvement, Marketing Strategies, Marketing, AI Enablement, Responsible AI, Customer Engagement, Business Marketing, Customer Acquisition Management, Artificial Intelligence, Customer Insights, Marketing Psychology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    76 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Data Collection and Processing with Python

    Skills you'll gain: JSON, Data Processing, Web Scraping, Restful API, Data Manipulation, Application Programming Interface (API), Data Persistence, Python Programming, Data Transformation, Data Structures, Data Collection

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Expressway to Data Science: R Programming and Tidyverse

    Skills you'll gain: Tidyverse (R Package), Rmarkdown, R Programming, Ggplot2, Data Import/Export, Data Visualization, Data Manipulation, Data Visualization Software, Data Analysis, Data Science, Data Storytelling, Statistical Analysis, Relational Databases, Data Cleansing, Data Transformation, Statistical Programming, Data Integration, Software Installation, Programming Principles, Communication

    4.1
    Rating, 4.1 out of 5 stars
    ·
    55 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    488 reviews

    Advanced · Course · 1 - 3 Months

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1…727374…834

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

  • Science Literacy : University of Alberta
  • No-Code Machine Learning and Data Science for Everyone: LearnQuest
  • Computer Communications: University of Colorado System
  • Introduction to Calculus: The University of Sydney
  • Moneyball and Beyond: University of Michigan
  • Microsoft Data Architecture for Modern Data Stacks: Microsoft
  • Generative AI for Growth Marketing: IBM
  • Foundations of AI and Machine Learning: Microsoft
  • AI for Marketing: Emory University
  • Data Collection and Processing with Python: University of Michigan

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