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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: Preview
    Preview
    H

    HEC Paris

    Devenir entrepreneur du changement

    Skills you'll gain: Social Impact, Sustainable Business, Ideation, Self-Awareness, Action Oriented, Project Implementation, Entrepreneurship, Personal Development, Business Modeling, Innovation, Creative Problem-Solving, Proactivity, Visionary, Strategic Thinking, Communication

    4.7
    Rating, 4.7 out of 5 stars
    ·
    628 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Embedded Software, Automation, Deep Learning, Software Architecture, Simulations, Safety Assurance, Traffic Flow Optimization, Artificial Neural Networks, Global Positioning Systems, Machine Controls, Hardware Architecture, Systems Architecture, Network Routing, Estimation, Machine Learning Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Data Analysis with R

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Data Literacy, Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Structures

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    B

    Birla Institute of Technology & Science, Pilani

    Software Design Principles

    Skills you'll gain: Object Oriented Design, Software Architecture, Software Design, Software Design Patterns, Software Development Life Cycle, Software Development, Software Engineering, Maintainability, Systems Architecture, Service Oriented Architecture, Technical Design, Web Services, Model View Controller, Event-Driven Programming

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Cloud Computing

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Deployment, Cloud Security, Cloud Infrastructure, Cloud Platforms, Cloud Computing, Cloud Storage, Emerging Technologies, Hybrid Cloud Computing, Virtual Machines, Serverless Computing, Microservices, DevOps

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing

    Skills you'll gain: Distributed Computing, Cloud Infrastructure, Cloud Services, Big Data, Apache Spark, Cloud Computing, Cloud Storage, Cloud Platforms, Network Architecture, Computer Networking, File Systems, Apache Hadoop, Cloud Applications, Apache Mahout, Cloud Computing Architecture, Infrastructure As A Service (IaaS), Data Storage, Middleware, Software-Defined Networking, NoSQL

    4.3
    Rating, 4.3 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Software Development Lifecycle

    Skills you'll gain: User Story, Agile Software Development, Software Design Patterns, Design Thinking, Software Development Methodologies, Software Design, Agile Methodology, Agile Project Management, Process Mapping, Software Engineering, Kanban Principles, Software Development Life Cycle, Software Quality Assurance, Program Development, Application Security, Scrum (Software Development), Object Oriented Design, Software Architecture, User Experience Design, Software Quality (SQA/SQC)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Introduction to Financial Accounting

    Skills you'll gain: Financial Statements, Financial Statement Analysis, Accrual Accounting, Financial Accounting, Financial Reporting, Accounting, Financial Analysis, Balance Sheet, Income Statement, Cash Flows, General Ledger, Bookkeeping, Revenue Recognition, Business Metrics, Return On Investment, Depreciation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.5K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Data Analysis and Interpretation

    Skills you'll gain: Regression Analysis, Data Storytelling, Logistic Regression, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Data Manipulation, Decision Tree Learning, Data Presentation, Data Management, Data Analysis, Data Visualization, Model Evaluation, Data Literacy, Machine Learning, Statistics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Social Media Management

    Skills you'll gain: Social Media Management, Social Media Marketing, Content Creation, Social Media Strategy, Social Media Campaigns, Content Marketing, Instagram, Content Management, Content Strategy, Content Performance Analysis, Brand Management, Facebook, Branding, Customer Engagement

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Preparing to Manage Human Resources

    Skills you'll gain: Human Resource Strategy, Human Resources, Human Capital, Compensation Management, Resource Management, People Management, Employee Performance Management, Industrial and Organizational Psychology, Labor Law, Employee Engagement

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10K reviews

    Mixed · Course · 1 - 4 Weeks

1…636465…834

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

  • Devenir entrepreneur du changement: HEC Paris
  • Self-Driving Cars: University of Toronto
  • Statistics and Data Analysis with R: University of Colorado Boulder
  • Software Design Principles: Birla Institute of Technology & Science, Pilani
  • Introduction to Cloud Computing: IBM
  • Cloud Computing: University of Illinois Urbana-Champaign
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Software Development Lifecycle: University of Minnesota
  • Introduction to Financial Accounting: University of Pennsylvania
  • Data Analysis and Interpretation: Wesleyan University

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