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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
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Advanced RAG Patterns

    Skills you'll gain: Retrieval-Augmented Generation, Prompt Patterns, Agentic systems, Performance Testing, AI Workflows, Prompt Engineering, Data-Driven Decision-Making, Generative AI, Data Validation, Model Evaluation, Verification And Validation, A/B Testing, MLOps (Machine Learning Operations), Embeddings

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    LLM Engineering That Works: Prompting, Tuning, and Retrieval

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Data Ethics, Prompt Patterns, LLM Application, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Software Architecture, Test Automation, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL

    Intermediate · Specialization · 3 - 6 Months

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

    Coursera

    Generate Insights with LLMs

    Skills you'll gain: LLM Application, Large Language Modeling, Prompt Engineering, Data Analysis Expressions (DAX), Statistical Reporting, Business Intelligence, Business Reporting, Data Pipelines, Generative AI, Cost Benefit Analysis, Performance Analysis, Model Evaluation, Key Performance Indicators (KPIs), Automation

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Applied Object Detection & Segmentation

    Skills you'll gain: Model Evaluation, Predictive Analytics, MLOps (Machine Learning Operations), Verification And Validation, Performance Analysis, Data Preprocessing, Image Analysis, Computer Vision, Data Quality, Data Transformation, Data Cleansing, Model Deployment, Applied Machine Learning, Failure Analysis, Data Pipelines, Tensorflow, Deep Learning, PyTorch (Machine Learning Library), Docker (Software), Python Programming

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Vision Models: Train and Evaluate

    Skills you'll gain: Failure Analysis, Deep Learning, Applied Machine Learning, Data Pipelines, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Introduction to Back-End Development

    Skills you'll gain: Bootstrap (Front-End Framework), HTML and CSS, User Interface (UI), Front-End Web Development, Responsive Web Design, JavaScript Frameworks, Web Design, Web Development, Web Applications, Hypertext Markup Language (HTML), Full-Stack Web Development, Cascading Style Sheets (CSS), Back-End Web Development, React.js

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

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    AI Engineer Associate

    Skills you'll gain: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Keras (Neural Network Library), Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Python Programming, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Feature Engineering

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Apply AI Foundations with Python and AWS

    Skills you'll gain: Matplotlib, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), NumPy, Pandas (Python Package), Model Evaluation, AI Workflows, Data Preprocessing, Deep Learning, Responsible AI, AWS SageMaker, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Data Manipulation, Data Ethics, Applied Machine Learning, Data-Driven Decision-Making, Python Programming, AWS CloudFormation

    Beginner · Specialization · 3 - 6 Months

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

    Coursera

    Optimizing and Governing AI Systems

    Skills you'll gain: Responsible AI, Risking, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, AI Enablement, AI Product Strategy, System Monitoring, Model Evaluation, Performance Tuning, Compliance Management, Technology Roadmaps, Prompt Engineering, Machine Learning, Risk Management, Generative AI, Data-Driven Decision-Making, Performance Analysis, Statistical Analysis, Cross-Functional Collaboration

    Intermediate · Course · 3 - 6 Months

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

    Coursera

    Automate, Optimize, and Monitor ML Models

    Skills you'll gain: Verification And Validation, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • B

    BITS Pilani

    Bachelor of Science in Computer Science

    Skills you'll gain: Bash (Scripting Language), Relational Databases, User Research, Probability & Statistics, Data Storytelling, Graph Theory, Object Oriented Design, Theoretical Computer Science, Operating Systems, Android Development, Database Design, Encryption, Bioinformatics, Java Programming, Amazon Web Services, Feature Engineering, Algorithms, TCP/IP, Version Control, Data Structures

    Earn a degree

    Degree · 1 - 4 Years

  • Status: New
    New
    Status: Preview
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    E

    EDUCBA

    Analyze and Build Deep Learning Models with TensorFlow

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Course · 1 - 4 Weeks

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

  • Advanced RAG Patterns: Coursera
  • LLM Engineering That Works: Prompting, Tuning, and Retrieval: Coursera
  • Generate Insights with LLMs: Coursera
  • Applied Object Detection & Segmentation: Coursera
  • Vision Models: Train and Evaluate: Coursera
  • Introduction to Back-End Development: Meta
  • AI Engineer Associate: Packt
  • Apply AI Foundations with Python and AWS: EDUCBA
  • Optimizing and Governing AI Systems: Coursera
  • Automate, Optimize, and Monitor ML Models: Coursera

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