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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: New
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    Coursera

    Automate Data Workflows with Airflow Excellence

    Skills you'll gain: Apache Airflow, Service Level Agreement, Data Pipelines, Workflow Management, Scalability, MLOps (Machine Learning Operations), DevOps, Extract, Transform, Load, System Monitoring, Incident Response

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Analyze and Visualize Business Data with Power BI

    Skills you'll gain: Data Storytelling, Business Reporting, Business Analytics, Time Series Analysis and Forecasting, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    The Museum of Modern Art

    Seeing Through Photographs

    Skills you'll gain: Photography, Culture, Art History, Media and Communications, Public History, Storytelling, Social Justice

    4.8
    Rating, 4.8 out of 5 stars
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    4.5K reviews

    Beginner · Course · 1 - 3 Months

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    Arizona State University

    Classification and Planned Experiments

    Skills you'll gain: Experimentation, Research Design, Statistical Modeling, Statistical Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Predictive Modeling, Statistical Programming, Statistical Analysis, Statistical Inference, Simulation and Simulation Software, Probability & Statistics, Data Science, Data Visualization, Simulations, Data Analysis, Data Analysis Software

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Python Programming and Data Science Foundations for AI

    Skills you'll gain: Object Oriented Programming (OOP), Data Visualization, Seaborn, Flask (Web Framework), Programming Principles, Web Applications, Statistical Methods, Data Analysis Software, Pandas (Python Package), Probability & Statistics, Data Manipulation, Data Structures, UI Components

    Intermediate · Course · 1 - 3 Months

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    Coursera

    DataOps: Automation & Reliability

    Skills you'll gain: Apache Airflow, Docker (Software), Git (Version Control System), Data Pipelines, Containerization, CI/CD, Debugging, Ansible, Continuous Deployment, Database Management, Performance Tuning, Infrastructure as Code (IaC), Continuous Integration, Workflow Management, DevOps, SQL, Automation, Configuration Management, Root Cause Analysis, Python Programming

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    EDUCBA

    Apply R Techniques for Telecom Customer Churn Prediction

    Skills you'll gain: Feature Engineering, Data Preprocessing, Applied Machine Learning, Model Evaluation, R Programming, Data Transformation, Data Manipulation, Data Cleansing, Predictive Modeling, Predictive Analytics, Supervised Learning, Classification Algorithms, Machine Learning Algorithms

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Michigan

    Applied Social Network Analysis in Python

    Skills you'll gain: Network Analysis, Social Network Analysis, Graph Theory, Data Analysis, Analysis, Pandas (Python Package), Predictive Analytics, Unsupervised Learning, Matplotlib, Python Programming, Data Import/Export, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    2.7K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Analyze and Visualize Business Data with Power BI

    Skills you'll gain: Power BI, Data Modeling, Analytical Skills, Data Presentation, Analysis, Business Reporting, Data Management, Data Storytelling, Data Manipulation, Microsoft Power Platform, Business Analytics, Management Reporting, Real Time Data, Analytics, Visualization (Computer Graphics), Customer Analysis, Time Series Analysis and Forecasting, Marketing Analytics, Data Security, Profit and Loss (P&L) Management

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    EDUCBA

    Build Interactive Data Apps with R Shiny Fundamentals

    Skills you'll gain: Shiny (R Package), Interactive Data Visualization, Data Visualization, R (Software), Dashboard, User Interface (UI), Data Visualization Software, UI Components, Data Integration, Server Side, Web Applications, Application Design

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google Cloud

    Digital Transformation Using AI/ML with Google Cloud

    Skills you'll gain: Business Transformation, Innovation, Digital Transformation, Serverless Computing, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Technology Strategies, Applied Machine Learning, Hybrid Cloud Computing, Data Strategy, Image Analysis, Infrastructure As A Service (IaaS), Responsible AI, Cloud Computing, Cloud Solutions, Public Cloud, Containerization

    4.7
    Rating, 4.7 out of 5 stars
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    7.6K reviews

    Beginner · Specialization · 1 - 3 Months

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    Microsoft

    Microsoft Fabric: Data Governance, Security, and Analytics

    Skills you'll gain: Microsoft Azure, Data Governance, Real Time Data, Data Lakes, Microsoft SQL Servers, Compliance Management, Metadata Management, Data Architecture, Data Security, Power BI, Operational Databases, System Monitoring, Identity and Access Management, Event-Driven Programming

    Intermediate · Course · 1 - 3 Months

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

  • Automate Data Workflows with Airflow Excellence: Coursera
  • Analyze and Visualize Business Data with Power BI: EDUCBA
  • Seeing Through Photographs: The Museum of Modern Art
  • Classification and Planned Experiments: Arizona State University
  • Python Programming and Data Science Foundations for AI: Packt
  • DataOps: Automation & Reliability: Coursera
  • Apply R Techniques for Telecom Customer Churn Prediction: EDUCBA
  • Applied Social Network Analysis in Python: University of Michigan
  • Analyze and Visualize Business Data with Power BI: EDUCBA
  • Build Interactive Data Apps with R Shiny Fundamentals: EDUCBA

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