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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: New
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    W

    Whizlabs

    Fundamentals of Machine Learning

    Skills you'll gain: Supervised Learning, Unsupervised Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, AWS SageMaker, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Azure DevOps, Model Deployment, Microsoft Azure, Amazon Web Services, Deep Learning, Data Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Michigan

    Python Classes and Inheritance

    Skills you'll gain: Object Oriented Programming (OOP), JSON, Object Oriented Design, Unit Testing, Python Programming, Debugging, Software Testing, Data Structures

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    P

    Packt

    AI & Python Development Megaclass

    Skills you'll gain: Supervised Learning, Feature Engineering, Applied Machine Learning, Object Oriented Programming (OOP), Unsupervised Learning, Model Evaluation, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Machine Learning Algorithms, Data Visualization, Natural Language Processing, Seaborn, Predictive Modeling, Flask (Web Framework), Python Programming, Deep Learning, PyTorch (Machine Learning Library), Programming Principles, Web Applications

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    C

    Coursera

    Compare User Behavior with Segments

    Skills you'll gain: Web Analytics, Customer Engagement, Technical Communication, Campaign Management, Analysis, Strategic Marketing, Performance Metric, Business Metrics, Data-Driven Decision-Making, Descriptive Analytics, Stakeholder Communications

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Statistical Analysis with R for Public Health

    Skills you'll gain: Logistic Regression, Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Biostatistics, Model Evaluation, Exploratory Data Analysis, Statistical Analysis, R (Software), Statistics, Statistical Methods, Data Wrangling, Public Health

    4.7
    Rating, 4.7 out of 5 stars
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    2.1K reviews

    Beginner · Specialization · 3 - 6 Months

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    Cleveland Clinic

    Computer Vision and Sequence Analysis in Machine Learning

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Healthcare 5.0, Predictive Modeling, Applied Machine Learning, Biomedical Engineering, Model Evaluation, Health Informatics, Data Structures

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    MCP - Model Content Protocol

    Skills you'll gain: Model Context Protocol, AI Security, Scalability, Software Architecture, Servers, Interoperability, System Design and Implementation, API Design, Enterprise Security, Real Time Data, Performance Tuning

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Exploring and Producing Data for Business Decision Making

    Skills you'll gain: Statistical Inference, Business Analytics, Descriptive Statistics, Sampling (Statistics), Data-Driven Decision-Making, Data Analysis, Data Presentation, Statistical Analysis, Microsoft Excel, Exploratory Data Analysis, Probability & Statistics, Decision Making, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    1K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Generative AI Leader

    Skills you'll gain: Prompt Engineering, Generative AI Agents, Retrieval-Augmented Generation, Google Gemini, Responsible AI, Generative AI, Google Workspace, Google Cloud Platform, Gemini, AI Product Strategy, AI Enablement, AI Workflows, Productivity Software, AI Security, Unstructured Data, Tool Calling, Data Literacy, Artificial Intelligence, Cloud Computing, Collaboration

    4.7
    Rating, 4.7 out of 5 stars
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    956 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
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    Logical Operations

    Certified Entry-Level Python Programmer (PCEP)

    Skills you'll gain: Data Structures, Data Processing, Virtual Machines, Verification And Validation, Program Development, Data Preprocessing, Python Programming, Debugging, Maintainability, Programming Principles, Application Development, Scripting, Scripting Languages, Computer Programming, Software Installation, Development Environment, Software Development, Computer Programming Tools, Functional Design, Cross Platform Development

    Beginner · Specialization · 1 - 3 Months

  • Status: New
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    P

    Pearson

    Data Science Fundamentals Part 1: Unit 2

    Skills you'll gain: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Application Programming Interface (API), Relational Databases

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Implement Real-Time Face Detection with OpenCV & Python

    Beginner · Course · 1 - 4 Weeks

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

  • Fundamentals of Machine Learning: Whizlabs
  • Python Classes and Inheritance: University of Michigan
  • AI & Python Development Megaclass: Packt
  • Compare User Behavior with Segments: Coursera
  • Statistical Analysis with R for Public Health: Imperial College London
  • Computer Vision and Sequence Analysis in Machine Learning: Cleveland Clinic
  • MCP - Model Content Protocol: Coursera
  • Exploring and Producing Data for Business Decision Making: University of Illinois Urbana-Champaign
  • Generative AI Leader: Google Cloud
  • Certified Entry-Level Python Programmer (PCEP): Logical Operations

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