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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.


Popular Applied Data Science Courses and Certifications


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    Coursera

    ML Production Systems

    Skills you'll gain: Unit Testing, Test Driven Development (TDD), Software Testing, Scalability, Dashboard, MLOps (Machine Learning Operations), Testability, Kubernetes, Version Control, Model Deployment, Performance Tuning, Software Engineering, PyTorch (Machine Learning Library), Tensorflow, CI/CD, Containerization, Docker (Software), Scikit Learn (Machine Learning Library), Git (Version Control System), Python Programming

    Intermediate · Specialization · 1 - 3 Months

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    Google

    AI for Writing and Communicating

    Skills you'll gain: Gemini, Writing and Editing, Generative AI, Oral Expression, Google Workspace, Artificial Intelligence, Responsible AI

    5
    Rating, 5 out of 5 stars
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    10 reviews

    Beginner · Course · 1 - 4 Weeks

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    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Model Evaluation, Advanced Analytics, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Data Ethics, Supervised Learning, Decision Tree Learning, Random Forest Algorithm, Classification Algorithms, Python Programming, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
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    604 reviews

    Advanced · Course · 1 - 3 Months

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    Vanderbilt University

    AI Agents in Typescript/Javascript

    Skills you'll gain: Claude Code, Prompt Engineering, ChatGPT, Generative AI Agents, Prompt Patterns, Anthropic Claude, Prompt Engineering Tools, LLM Application, Productivity, Multimodal Prompts, OpenAI, Debugging, TypeScript, OpenAI API, AI Enablement, Agentic systems, AI Orchestration, Version Control, AI Workflows, Generative AI

    4.8
    Rating, 4.8 out of 5 stars
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    7.8K reviews

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    Fine-tuning Text Models with PEFT

    Skills you'll gain: Generative AI, Model Evaluation, Large Language Modeling, Transfer Learning, Performance Tuning, Development Environment, Natural Language Processing, Jupyter

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Preparing Images for AI Models

    Skills you'll gain: Image Quality, Data Preprocessing, Data Quality, Generative AI, Data Validation, Data Collection, Data Transformation, PyTorch (Machine Learning Library), Data Ethics, Data Management, Metadata Management

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Ethical Governance & Risk in Agentic AI

    Skills you'll gain: Agentic systems, Responsible AI, Compliance Management, Governance, Regulatory Compliance, Artificial Intelligence, Risk Analysis, Case Studies, Business Ethics, Ethical Standards And Conduct, Risk Management, Accountability, Regulatory Requirements

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    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

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    Coursera

    Engineer AI Models: Explain, Tune & Experiment

    Skills you'll gain: Feature Engineering, Fraud detection, Jupyter, Program Management, Responsible AI, Model Evaluation, Project Management, Performance Improvement, Performance Metric, Business Analytics, Credit Risk, Performance Analysis, Performance Tuning, Machine Learning Methods, Test Planning, Test Engineering, Research Design, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Apply Test-Driven ML Code

    Skills you'll gain: Unit Testing, Test Driven Development (TDD), CI/CD, Software Testing, Model Deployment, Testability, MLOps (Machine Learning Operations), Tensorflow, Maintainability, Software Engineering, Machine Learning Methods, Python Programming

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Optimize Spark Performance: Analyze & Accelerate

    Skills you'll gain: Apache Spark, PySpark, Performance Tuning, Data Pipelines, Data Processing, Systems Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    DeepLearning.AI

    Natural Language Processing with Attention Models

    Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Applied Machine Learning, Keras (Neural Network Library), Embeddings, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
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    1.1K reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • ML Production Systems: Coursera
  • AI for Writing and Communicating: Google
  • The Nuts and Bolts of Machine Learning: Google
  • AI Agents in Typescript/Javascript: Vanderbilt University
  • Fine-tuning Text Models with PEFT: Coursera
  • Preparing Images for AI Models: Coursera
  • Ethical Governance & Risk in Agentic AI: Coursera
  • Voice AI: Introduction to Building Voice Applications: Coursera
  • Engineer AI Models: Explain, Tune & Experiment: Coursera
  • Apply Test-Driven ML Code: Coursera

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