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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 Trial
    Free Trial
    M

    Microsoft

    Introduction to Microsoft Power Platform

    Skills you'll gain: Microsoft Power Platform, Microsoft Power Automate/Flow, No-Code Development, Data Integration, Power BI, Data Modeling, Application Development, Case Studies, Business Solutions, Security Controls

    4.6
    Rating, 4.6 out of 5 stars
    ·
    173 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Building High-Performing Teams

    Skills you'll gain: Team Building, Team Management, Team Performance Management, Adaptability, Emotional Intelligence, Team Leadership, Coaching, Self-Awareness, Organizational Change, Collaboration, Conflict Management, Leadership, Mindfulness, Goal Setting, Communication Strategies, Culture

    4.7
    Rating, 4.7 out of 5 stars
    ·
    569 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Linux System Programming and Introduction to Buildroot

    Skills you'll gain: System Programming, Embedded Systems, Linux, File I/O, Linux Commands, Operating Systems, Bash (Scripting Language), Shell Script, C (Programming Language), OS Process Management, Configuration Management, Build Tools, Debugging, Electrical Engineering

    4.3
    Rating, 4.3 out of 5 stars
    ·
    140 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    A

    American Museum of Natural History

    The Dynamic Earth: A Course for Educators

    Skills you'll gain: Physical Science, Environment, Hazard Analysis, Spatial Data Analysis, Geographic Information Systems, General Science and Research, Environmental Science, Scientific Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    229 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    Y

    Yale University

    Tropical Forest Landscapes 101: Conservation & Restoration

    Skills you'll gain: Land Management, Environmental Science, Sustainable Development, Environment, Natural Resource Management, Environmental Engineering and Restoration, Environment and Resource Management, Climate Change Mitigation, Socioeconomics, Finance

    4.9
    Rating, 4.9 out of 5 stars
    ·
    176 reviews

    Beginner · 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: Free Trial
    Free Trial
    I

    IBM

    Full Stack Software Developer Assessment

    Skills you'll gain: JavaScript Frameworks, Cloud-Native Computing, Cloud Computing, Cloud Infrastructure, Cloud Services, Microservices, Full-Stack Web Development, GitHub, Back-End Web Development, Cloud Development, Git (Version Control System), Web Applications, Node.JS, Software Development, DevOps, Software Architecture, CI/CD, Serverless Computing, Web Development, Cloud Applications

    4.8
    Rating, 4.8 out of 5 stars
    ·
    288 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad de Palermo

    Inteligencia Artificial (IA): Interacciones y prompts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, LLM Application, Artificial Intelligence, AI Enablement, Responsible AI, Large Language Modeling

    4.9
    Rating, 4.9 out of 5 stars
    ·
    979 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Building GenAI Applications and Agents

    Skills you'll gain: LangChain, Hugging Face, Prompt Engineering, Retrieval-Augmented Generation, Model Evaluation, Large Language Modeling, CrewAI, OpenAI API, Generative AI Agents, LLM Application, Vector Databases, ChatGPT, Tool Calling, Responsible AI, Embeddings, AI Enablement, AI Workflows, OpenAI, Generative AI, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    147 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Engineering Capstone Project

    Skills you'll gain: Data Warehousing, MongoDB, IBM Cognos Analytics, Extract, Transform, Load, Apache Spark, NoSQL, Big Data, IBM DB2, PySpark, Data Pipelines, Apache Airflow, Dashboard, Business Intelligence, Analytics, Databases, Data Architecture, Database Design, Relational Databases, SQL, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    132 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Application Security for Developers and DevOps Professionals

    Skills you'll gain: Open Web Application Security Project (OWASP), Application Security, Security Testing, Secure Coding, System Monitoring, DevSecOps, Application Performance Management, Continuous Monitoring, Code Review, Threat Modeling, Vulnerability Scanning, Vulnerability Assessments, Prometheus (Software), Software Development Life Cycle, Grafana

    4.7
    Rating, 4.7 out of 5 stars
    ·
    244 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data and ML on Google Cloud en Español

    Skills you'll gain: Model Deployment, Google Cloud Platform, Data Lakes, Data Pipelines, Dataflow, Big Data, Tensorflow, Real Time Data, Data Architecture, Extract, Transform, Load, Data Warehousing, Apache Spark, Unstructured Data, Apache Hadoop, Data Security, Applied Machine Learning, MLOps (Machine Learning Operations), Feature Engineering, Data Management, Data Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    815 reviews

    Intermediate · Specialization · 3 - 6 Months

Searches related to statistics for data science

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1…382383384…834

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

  • Introduction to Microsoft Power Platform: Microsoft
  • Building High-Performing Teams: University of Pennsylvania
  • Linux System Programming and Introduction to Buildroot: University of Colorado Boulder
  • The Dynamic Earth: A Course for Educators: American Museum of Natural History
  • Tropical Forest Landscapes 101: Conservation & Restoration: Yale University
  • Moneyball and Beyond: University of Michigan
  • Full Stack Software Developer Assessment: IBM
  • Inteligencia Artificial (IA): Interacciones y prompts: Universidad de Palermo
  • Building GenAI Applications and Agents: Coursera
  • Data Engineering Capstone Project: IBM

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