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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


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    U

    UNSW Sydney (The University of New South Wales)

    Mechanics: Motion, Forces, Energy and Gravity, from Particles to Planets

    Skills you'll gain: Mechanics, Physics, Experimentation, Engineering Calculations, Applied Mathematics, Physical Science, Systems Of Measurement, Engineering Analysis, Mathematical Modeling, Estimation

    4.7
    Rating, 4.7 out of 5 stars
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    1.1K reviews

    Beginner · Course · 1 - 3 Months

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    G

    Georgia Institute of Technology

    Material Behavior

    Skills you'll gain: Materials science, Chemistry, Structural Analysis, Mechanical Engineering, Chemical Engineering, Physical Science, Semiconductors

    4.8
    Rating, 4.8 out of 5 stars
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    1.3K reviews

    Mixed · Course · 1 - 3 Months

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    Status: Free Trial
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    G

    Google Cloud

    Generative AI Leader

    Skills you'll gain: Google Gemini, Retrieval-Augmented Generation, Generative AI, AI Enablement, Enterprise Security, Agentic systems, Model Deployment, Tool Calling, Artificial Intelligence, Customer experience improvement, LLM Application, Strategic Planning, Decision Making, Organizational Strategy, Cloud Infrastructure, Cloud Computing, Cloud Platforms, Innovation, MLOps (Machine Learning Operations), Collaboration

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    I

    IBM

    Developing AI Applications with Python and Flask

    Skills you'll gain: Restful API, Flask (Web Framework), Application Deployment, Web Applications, Python Programming, AI Enablement, Server Side, Artificial Intelligence, Code Review, Debugging, Integrated Development Environments, Programming Principles, Unit Testing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of Copenhagen

    Diabetes – the Essential Facts

    Skills you'll gain: Public Health and Disease Prevention, Epidemiology, Public Health, Health Disparities, Health Care, Chronic Diseases, Endocrinology, Nutrition and Diet, Medical Science and Research, Exercise Science, Surgery, Health Policy

    4.7
    Rating, 4.7 out of 5 stars
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    2.3K reviews

    Beginner · Course · 1 - 4 Weeks

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    J

    Johns Hopkins University

    Command Line Tools for Genomic Data Science

    Skills you'll gain: Unix Commands, Bioinformatics, Unix, Data Management, Command-Line Interface, Linux Commands, Molecular Biology, Big Data, File Management, Data Analysis Software, Data Processing

    4
    Rating, 4 out of 5 stars
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    570 reviews

    Mixed · Course · 1 - 4 Weeks

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    G

    Georgia Institute of Technology

    Supply Chain Principles

    Skills you'll gain: Supply Chain, Supply Chain Management, Logistics Management, Logistics, Transportation Operations, Procurement, Inventory and Warehousing, Warehouse Management, Manufacturing Operations

    4.6
    Rating, 4.6 out of 5 stars
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    2.2K reviews

    Mixed · Course · 1 - 3 Months

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    C

    Coursera

    Cloud-Based Testing Platforms Getting Started

    Skills you'll gain: Test Tools, Browser Compatibility, Software Testing, Test Automation, Continuous Integration, Cloud Applications, CI/CD, Regression Testing, Mobile Development Tools, Cloud Platforms, Verification And Validation, Quality Assurance, UI Components, User Interface (UI), Automation, Scalability

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Analysis with R

    Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Model Evaluation, R Programming, Data Manipulation, Data Visualization, Predictive Analytics, Statistical Analysis, Data Science, Regression Analysis, Statistical Modeling, Data Cleansing, Data Preprocessing, Feature Engineering, Forecasting

    4.7
    Rating, 4.7 out of 5 stars
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    345 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of California, Davis

    Creating Dashboards and Storytelling with Tableau

    Skills you'll gain: Data Storytelling, Data Presentation, Dashboard, Data Visualization, Stakeholder Analysis, Tableau Software, Data Visualization Software, Requirements Analysis, Stakeholder Management, Data Cleansing, Storyboarding, Data Manipulation, Data Quality, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
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    1.1K reviews

    Beginner · Course · 1 - 4 Weeks

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    G

    Google Cloud

    Sécuriser GKE avec Cloud Next Generation Firewall

    Skills you'll gain: Kubernetes, Firewall, Google Cloud Platform, Infrastructure Security, Cloud Security, Network Security, Security Controls

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Automatic Data Processing, Inc. (ADP)

    The Payroll Cycle

    Skills you'll gain: Payroll, Payroll Processing, Payroll Administration, Payroll Reporting, Payroll Tax, Data Entry, Workforce Management, Benefits Administration, Compensation Management, Personally Identifiable Information, Employee Onboarding, Reconciliation, Auditing, Tax Compliance, Data Security

    4.7
    Rating, 4.7 out of 5 stars
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    108 reviews

    Beginner · Course · 1 - 4 Weeks

Searches related to statistics for data science

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1…195196197…834

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

  • Mechanics: Motion, Forces, Energy and Gravity, from Particles to Planets: UNSW Sydney (The University of New South Wales)
  • Material Behavior: Georgia Institute of Technology
  • Generative AI Leader: Google Cloud
  • Developing AI Applications with Python and Flask: IBM
  • Diabetes – the Essential Facts: University of Copenhagen
  • Command Line Tools for Genomic Data Science: Johns Hopkins University
  • Supply Chain Principles: Georgia Institute of Technology
  • Cloud-Based Testing Platforms Getting Started: Coursera
  • Data Analysis with R: IBM
  • Creating Dashboards and Storytelling with Tableau: University of California, Davis

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