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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


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    Coursera

    GenAI for Risk Management Essentials

    Skills you'll gain: Responsible AI, Enterprise Risk Management (ERM), Risk Management, Governance Risk Management and Compliance, Data Ethics, Business Risk Management, Risk Modeling, Compliance Management, Generative AI Agents, Risk Mitigation, Risk Analysis, Regulatory Compliance, Governance, Mitigation, Continuous Monitoring

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

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    LearnQuest

    AI 알고리즘 모델과 한계점

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Algorithms, Responsible AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Model Evaluation, Business Ethics, Ethical Standards And Conduct

    4.3
    Rating, 4.3 out of 5 stars
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    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Coursera

    Evaluating Large Language Model Outputs: A Practical Guide

    Skills you'll gain: Responsible AI, Large Language Modeling, Model Evaluation, Generative AI, Data Ethics, Google Cloud Platform, Quality Assessment, Image Quality, Human Factors, Performance Metric

    4.5
    Rating, 4.5 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    RNN Architecture and Sentiment Classification

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Deep Learning, Applied Machine Learning, Embeddings, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Job Shop Scheduling Using MILP Optimization on RStudio

    Skills you'll gain: R Programming, Analysis, Mathematical Software, Data Analysis

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Multiple educators

    Object Oriented Programming in Java

    Skills you'll gain: Unit Testing, Data Structures, Event-Driven Programming, File I/O, Interactive Data Visualization, Java, Java Programming, User Interface (UI), Object Oriented Programming (OOP), JUnit, Debugging, Object Oriented Design, Computer Programming, Cryptography, Software Engineering, Performance Tuning, Algorithms, Data Analysis, Software Design, Problem Solving

    4.6
    Rating, 4.6 out of 5 stars
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    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Packt

    Natural Language Processing - Transformers with Hugging Face

    Skills you'll gain: Hugging Face, Large Language Modeling, Transfer Learning, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Embeddings, Python Programming, Applied Machine Learning, Unsupervised Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
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    Amazon Web Services

    Building a Generative AI-Ready Organization

    Skills you'll gain: AI Enablement, AI Product Strategy, Generative AI Agents, Strategic Thinking, Data-Driven Decision-Making, Competitive Intelligence, Decision Making, Innovation, Operational Efficiency, Strategic Planning, Technology Strategies, Thought Leadership, Program Implementation, Project Implementation, Technology Solutions

    4.5
    Rating, 4.5 out of 5 stars
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    93 reviews

    Beginner · Course · 1 - 4 Weeks

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    Status: Free Trial
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    LearnQuest

    Foundations of No-Code AI for Real-World Applications

    Skills you'll gain: Data Ethics, No-Code Development, Model Deployment, Data Cleansing, Data Preprocessing, Artificial Intelligence, Machine Learning, Business Metrics, Data Storytelling, User Experience Design, Generative AI, Business Analytics, Regulation and Legal Compliance, AI Workflows, Scalability, Data Validation, Dashboard, Automation, Stakeholder Engagement

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Whizlabs

    ML Algorithms

    Skills you'll gain: Machine Learning Algorithms, Image Analysis, Reinforcement Learning, Classification Algorithms, Forecasting, Algorithms, AWS SageMaker, Machine Learning, Supervised Learning, Unsupervised Learning, Predictive Modeling, Regression Analysis, Natural Language Processing

    3.6
    Rating, 3.6 out of 5 stars
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    8 reviews

    Beginner · Course · 1 - 4 Weeks

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    H2O.ai

    H2O Hydrogen Torch Starter Course

    Skills you'll gain: Deep Learning, Applied Machine Learning, Artificial Intelligence, Computer Vision, Image Analysis, Natural Language Processing, Model Evaluation, Exploratory Data Analysis, Interactive Data Visualization, Performance Tuning, Data Import/Export

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    University of Glasgow

    Deep learning in Electronic Health Records - CDSS 2

    Skills you'll gain: Deep Learning, Recurrent Neural Networks (RNNs), Data Preprocessing, Artificial Neural Networks, Convolutional Neural Networks, Model Evaluation, Health Informatics, Electronic Medical Record, Data Cleansing, Feature Engineering, Time Series Analysis and Forecasting, Predictive Modeling, Classification Algorithms

    4
    Rating, 4 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • GenAI for Risk Management Essentials: Coursera
  • AI 알고리즘 모델과 한계점: LearnQuest
  • Evaluating Large Language Model Outputs: A Practical Guide: Coursera
  • RNN Architecture and Sentiment Classification: Packt
  • Job Shop Scheduling Using MILP Optimization on RStudio: Coursera
  • Object Oriented Programming in Java: Duke University
  • Natural Language Processing - Transformers with Hugging Face: Packt
  • Building a Generative AI-Ready Organization: Amazon Web Services
  • Foundations of No-Code AI for Real-World Applications: LearnQuest
  • ML Algorithms: Whizlabs

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