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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.


More to explore:

Popular Statistics For Data Science Courses and Certifications


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    API Design and Fundamentals of Google Cloud's Apigee API Platform

    Skills you'll gain: API Design, Restful API, API Gateway, Application Programming Interface (API), Cloud API, Application Lifecycle Management, Software Documentation, Cloud Deployment

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

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Caltech

    The Evolving Universe

    Skills you'll gain: Physical Science, Physics, General Science and Research, Systems Of Measurement, Mathematical Modeling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    838 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Mainframe Developer

    Skills you'll gain: Mainframe Computing, COBOL (Programming Language), Software Development Life Cycle, z/OS, Unit Testing, Systems Analysis, Job Control Language (JCL), IBM DB2, Systems Development, Debugging, Pseudocode, Virtualization, Agile Methodology, Software Development, Test Driven Development (TDD), Report Writing, Relational Databases, Software Testing, Technical Support, File I/O

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Relational Database Administration (DBA)

    Skills you'll gain: Database Administration, Database Management, Database Architecture and Administration, Relational Databases, Operational Databases, Database Systems, IBM DB2, MySQL, Performance Tuning, PostgreSQL, Disaster Recovery, Data Storage Technologies, Database Design, System Monitoring, Role-Based Access Control (RBAC), User Accounts, Encryption

    4.5
    Rating, 4.5 out of 5 stars
    ·
    257 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    Y

    Yale University

    Roman Architecture

    Skills you'll gain: Ancient History, Art History, Architectural Design, Architecture and Construction, Construction, Civil Engineering, European History, World History, Aesthetics, Design Elements And Principles

    4.9
    Rating, 4.9 out of 5 stars
    ·
    709 reviews

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Developing Back-End Apps with Node.js and Express

    Skills you'll gain: Node.JS, Server Side, Full-Stack Web Development, Back-End Web Development, Cloud Applications, Web Development, Restful API, Web Applications, Web Servers, Authentications, Javascript, Application Programming Interface (API), Computer Science, JSON, Middleware

    4.5
    Rating, 4.5 out of 5 stars
    ·
    593 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Managing Cybersecurity

    Skills you'll gain: Network Security, Incident Response, Network Administration, Vulnerability Management, Cybersecurity, Contingency Planning, Cyber Governance, Cyber Attacks, Disaster Recovery, Cyber Security Policies, Security Management, Firewall, Computer Security Incident Management, Network Monitoring, General Networking, Cyber Security Strategy, Crisis Management, Vulnerability Assessments, Cyber Risk, Risk Management

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

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Essential Linear Algebra for Data Science

    Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Algebra, Numerical Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    184 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University at Buffalo

    Data-Driven Decision Making (DDDM)

    Skills you'll gain: Data Storytelling, Statistical Process Controls, Data Literacy, Process Mapping, Data Ethics, Data Presentation, Data-Driven Decision-Making, Data Collection, Process Improvement, Data Visualization Software, Business Process, Business Analytics, Tableau Software, Analytics, Data Analysis, Root Cause Analysis, Minitab, Lean Methodologies, Six Sigma Methodology, Process Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    476 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Linear Regression in R for Public Health

    Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, R (Software), Exploratory Data Analysis, Model Evaluation, Statistical Analysis, Probability & Statistics, Biostatistics, Data Import/Export

    4.8
    Rating, 4.8 out of 5 stars
    ·
    527 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Discounted Cash Flow Modeling

    Skills you'll gain: Financial Forecasting, Business Valuation, Equities, Financial Modeling, Financial Analysis, Finance, Cash Flows, Investment Banking, Accounting, Capital Markets

    4.3
    Rating, 4.3 out of 5 stars
    ·
    813 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    T

    Technion - Israel Institute of Technology

    Cracking the Creativity Code: Discovering Ideas

    Skills you'll gain: Ideation, Brainstorming, Innovation, Creative Problem-Solving, Creative Thinking, Creativity, Operations Management, Resourcefulness, Thought Leadership, Problem Solving, Strategic Thinking, Visionary, Curiosity, Solution Delivery, Presentations, Persistence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1K reviews

    Mixed · Course · 1 - 3 Months

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

  • API Design and Fundamentals of Google Cloud's Apigee API Platform: Google Cloud
  • The Evolving Universe: Caltech
  • IBM Mainframe Developer: IBM
  • Relational Database Administration (DBA): IBM
  • Roman Architecture: Yale University
  • Developing Back-End Apps with Node.js and Express: IBM
  • Managing Cybersecurity: Kennesaw State University
  • Essential Linear Algebra for Data Science: University of Colorado Boulder
  • Data-Driven Decision Making (DDDM): University at Buffalo
  • Linear Regression in R for Public Health : Imperial College London

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