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  • Applied Data Science

Applied Data Science Courses

Applied Data Science courses can help you learn data analysis, statistical modeling, machine learning, and data visualization techniques. You can build skills in data cleaning, exploratory data analysis, and predictive analytics to derive insights from complex datasets. Many courses introduce tools like Python, R, and SQL, along with libraries such as Pandas and Scikit-learn, that support implementing data-driven solutions and automating processes in real-world applications.


More to explore:

Popular Applied Data Science Courses and Certifications


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Regression Models

    Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Analysis, Model Evaluation, Probability & Statistics, Statistical Inference

    4.4
    Rating, 4.4 out of 5 stars
    ·
    3.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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), Text Mining, Data Ethics, Data Preprocessing, Artificial Intelligence, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    904 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    AI Agents in Typescript/Javascript with Generative AI

    Skills you'll gain: Generative AI Agents, Debugging, TypeScript, Agentic systems, AI Workflows, Node.JS, OpenAI API, Generative AI, Program Development, Artificial Intelligence, LLM Application, Programming Principles, Maintainability, Development Environment, Prompt Engineering, Application Frameworks, Javascript, Large Language Modeling, File Systems

    Beginner · Course · 1 - 4 Weeks

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

    Coursera

    Optimize AI: Build Reusable Model Pipelines

    Skills you'll gain: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Feature Engineering, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.6K reviews

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Orchestrate, Evaluate, and Release GenAI Systems

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), AI Orchestration, Dependency Analysis, Application Deployment, Continuous Deployment, Generative AI, Release Management, Regression Testing, Cloud Deployment, Verification And Validation, Site Reliability Engineering, CI/CD, Model Evaluation, Continuous Delivery, Data-Driven Decision-Making, Application Performance Management, Software Technical Review, Kubernetes, System Requirements

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Voice AI: Introduction to Building Voice Applications

    Skills you'll gain: Case Studies, User Experience Design, Business Analysis, Natural Language Processing, Application Programming Interface (API), Application Deployment, Application Development, Artificial Intelligence, Systems Integration, Scalability

    Beginner · Course · 1 - 4 Weeks

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

    Coursera

    GenAI Deployment & Governance

    Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Prompt Engineering, Continuous Deployment, Generative AI, System Monitoring, CI/CD, Responsible AI, Automation, DevOps, Compliance Management, Performance Tuning, Data Pipelines, Kubernetes, Docker (Software), Containerization, Data Security, Risk Management, Dashboard, Cloud Platforms

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    G

    Google

    Google Cybersecurity

    Skills you'll gain: Threat Modeling, Network Security, Threat Management, Vulnerability Management, Intrusion Detection and Prevention, Hardening, Computer Security Incident Management, Security Management, Cyber Threat Intelligence, Cyber Attacks, Incident Response, Cybersecurity, Network Protocols, Threat Detection, Bash (Scripting Language), Debugging, Linux, Interviewing Skills, Python Programming, SQL

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    64K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

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

    Mixed · Course · 1 - 3 Months

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

    Coursera

    Evaluate LLMs: Test and Prove Significance

    Skills you'll gain: Statistical Visualization, Model Evaluation, Data Presentation, Statistical Hypothesis Testing, Statistical Analysis, Data Storytelling, Large Language Modeling, Statistical Methods, Data-Driven Decision-Making, Matplotlib, Statistical Inference, Jupyter, Probability & Statistics, Experimentation, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

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

    EDUCBA

    Master XPath Querying for XML and Automation

    Skills you'll gain: Extensible Markup Language (XML), Extensible Languages and XML, Selenium (Software), White-Box Testing, Scalability, Software Testing, Web Applications, Test Automation, Test Script Development, Automation, Scenario Testing, Maintainability, Hypertext Markup Language (HTML)

    Beginner · Specialization · 1 - 3 Months

1…181182183…834

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

  • Regression Models: Johns Hopkins University
  • Generative AI Engineering with LLMs: IBM
  • AI Agents in Typescript/Javascript with Generative AI: Vanderbilt University
  • Optimize AI: Build Reusable Model Pipelines: Coursera
  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
  • Orchestrate, Evaluate, and Release GenAI Systems: Coursera
  • Voice AI: Introduction to Building Voice Applications: Coursera
  • GenAI Deployment & Governance: Coursera
  • Google Cybersecurity: Google
  • Machine Learning: Classification: University of Washington

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