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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: Preview
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    T

    The University of North Carolina at Chapel Hill

    Research Data Management and Sharing

    Skills you'll gain: Data Sharing, Data Management, Data Storage, File Management, Data Security, Information Management, Data Strategy, Metadata Management, Records Management, Data Governance, Data Integrity, Data Literacy, Information Privacy, Version Control

    4.7
    Rating, 4.7 out of 5 stars
    ·
    740 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Visualization with R

    Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Data Visualization, Dashboard, Ggplot2, Plot (Graphics), Shiny (R Package), R Programming, Leaflet (Software), Data Analysis, Scatter Plots, Box Plots, Data Science, Spatial Data Analysis, Histogram, UI Components, Application Deployment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    266 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Data Processing and Feature Engineering with MATLAB

    Skills you'll gain: Feature Engineering, Dimensionality Reduction, Data Integration, Data Preprocessing, Exploratory Data Analysis, Data Visualization, Plot (Graphics), Matlab, Data Processing, Data Cleansing, Data Manipulation, Text Mining, Predictive Modeling, Unstructured Data, Image Analysis, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    351 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    694 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Framework for Data Collection and Analysis

    Skills you'll gain: Data Collection, Survey Creation, Research Design, Data Quality, Data Analysis, Data Validation, Sampling (Statistics), Data Management, Big Data, Statistical Methods

    4.2
    Rating, 4.2 out of 5 stars
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    773 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
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    831 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    G

    Google

    Design Prompts for Everyday Work Tasks

    Skills you'll gain: Prompt Engineering, Brainstorming, Email Automation, AI Enablement, Concision, Large Language Modeling, Business Writing, Productivity, Organizational Skills

    4.8
    Rating, 4.8 out of 5 stars
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    970 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Architecting with Google Compute Engine

    Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Google Cloud Platform, Prompt Engineering, Application Deployment, Cloud Storage, Kubernetes, Infrastructure As A Service (IaaS), Containerization, Cloud Deployment, Cloud Computing, CI/CD, Cloud-Native Computing, Terraform, Cloud Applications, Cloud Computing Architecture, Cloud Security, Cloud Services, Load Balancing, Service Level Agreement

    4.7
    Rating, 4.7 out of 5 stars
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    58K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    T

    The University of Edinburgh

    Data Science in Stratified Healthcare and Precision Medicine

    Skills you'll gain: Precision Medicine, Bioinformatics, Image Analysis, Biomedical Technology, Big Data, Data Science, Data Ethics, Health Informatics, Statistical Modeling, Machine Learning, Natural Language Processing, Data Integration, Network Analysis, Graph Theory, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    339 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    G

    Georgia Institute of Technology

    Introduction to User Experience Design

    Skills you'll gain: User Experience Design, Prototyping, User Centered Design, Usability, Requirements Analysis, UI/UX Research, Interaction Design, User Interface (UI) Design, Usability Testing, User Research

    4.6
    Rating, 4.6 out of 5 stars
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    9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Vital Skills for Data Science

    Skills you'll gain: Data Ethics, Data Visualization Software, Interactive Data Visualization, Visualization (Computer Graphics), Data Security, Data Presentation, User Centered Design, User Experience Design, Technical Communication, Cybersecurity, Healthcare Ethics, Usability, Statistical Reporting, Human Centered Design, Authentications, Data Storytelling, Ethical Standards And Conduct, Information Privacy, Responsible AI, Analysis

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    122 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    SAS Visual Business Analytics

    Skills you'll gain: SAS (Software), Network Analysis, Trend Analysis, Data Manipulation, Data Analysis, Forecasting, Data Quality, Text Mining, Data Visualization Software, Spatial Analysis, Dashboard, Analysis, Analytics, Data Visualization, Time Series Analysis and Forecasting, Business Analytics, Interactive Data Visualization, Data-Driven Decision-Making, Predictive Analytics, Business Reporting

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Beginner · Professional Certificate · 3 - 6 Months

Searches related to statistics for data science

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

  • Research Data Management and Sharing: The University of North Carolina at Chapel Hill
  • Data Visualization with R: IBM
  • Data Processing and Feature Engineering with MATLAB: MathWorks
  • Machine Learning Foundations for Product Managers: Duke University
  • Framework for Data Collection and Analysis: University of Maryland, College Park
  • Generative AI Engineering with LLMs: IBM
  • Design Prompts for Everyday Work Tasks: Google
  • Architecting with Google Compute Engine: Google Cloud
  • Data Science in Stratified Healthcare and Precision Medicine: The University of Edinburgh
  • Introduction to User Experience Design : Georgia Institute of Technology

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