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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
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    Stanford University

    Evaluations of AI Applications in Healthcare

    Skills you'll gain: Healthcare Ethics, Data Ethics, Responsible AI, Medical Devices, Artificial Intelligence, Health Technology, Healthcare Industry Knowledge, Clinical Assessment, Model Evaluation, Health Equity, Health Informatics, Regulatory Compliance, Application Deployment, Continuous Monitoring, Decision Support Systems, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    324 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    AI and Disaster Management

    Skills you'll gain: Disaster Recovery, Image Analysis, Data Ethics, Emergency Response, Mitigation, Text Mining, Natural Language Processing, Unstructured Data, Artificial Intelligence, Computer Vision, Spatial Data Analysis, Convolutional Neural Networks, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
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    318 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Building Generative AI-Powered Applications with Python

    Skills you'll gain: Retrieval-Augmented Generation, LangChain, LLM Application, Hugging Face, Generative AI, OpenAI, Web Applications, Flask (Web Framework), Python Programming, Natural Language Processing, Prompt Engineering, Image Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    254 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Universidad Austral

    Procesamiento de Lenguaje Natural

    Skills you'll gain: Web Scraping, Natural Language Processing, Data Integration, Data Processing, MLOps (Machine Learning Operations), Data Preprocessing, Data Cleansing, Artificial Neural Networks, Data Manipulation, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Text Mining, Jupyter, Pandas (Python Package), Application Lifecycle Management, Systems Architecture, Analysis, Deep Learning, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
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    56 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Python Programming, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    173 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Machine Learning - Anomaly Detection via PyCaret

    Skills you'll gain: Model Deployment, Anomaly Detection, Jupyter, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Preprocessing, Machine Learning

    3.8
    Rating, 3.8 out of 5 stars
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    18 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Duke University

    Rust Fundamentals

    Skills you'll gain: Rust (Programming Language), Test Case, Software Testing, Data Structures, Debugging, GitHub, Programming Principles, Package and Software Management, Development Environment, System Programming, Software Documentation

    4
    Rating, 4 out of 5 stars
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    213 reviews

    Beginner · Course · 1 - 4 Weeks

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    U

    University of Michigan

    Generative AI Essentials: Overview and Impact

    Skills you'll gain: ChatGPT, Generative AI, Large Language Modeling, Prompt Engineering, Responsible AI, Artificial Intelligence, Data Ethics, Law, Regulation, and Compliance, Social Impact, Legal Technology, Intellectual Property, Business Ethics, Economic Development, Economics, Content Creation

    4.7
    Rating, 4.7 out of 5 stars
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    315 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Duke University

    Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, AI Security, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, AI Product Strategy, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Applied Machine Learning, Logistic Regression, Deep Learning, Visualization (Computer Graphics), Plot (Graphics), Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
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    68 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    SAS

    Preparing for the SAS Programming Certification Exam

    Skills you'll gain: Data Manipulation, Data Access, Data Import/Export, SAS (Software), Microsoft Excel, Data Analysis, Statistical Programming, Data Preprocessing, Debugging

    4.8
    Rating, 4.8 out of 5 stars
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    140 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Computer Simulations

    Skills you'll gain: Simulations, Social Sciences, Systems Thinking, Agentic systems, Social Network Analysis, Model Evaluation, Sociology, Economics, Scientific Methods, Computer Programming

    4.5
    Rating, 4.5 out of 5 stars
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    84 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Keras Deep Learning & Generative Adversarial Networks (GAN)

    Skills you'll gain: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science

    Intermediate · Specialization · 3 - 6 Months

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

  • Evaluations of AI Applications in Healthcare: Stanford University
  • AI and Disaster Management: DeepLearning.AI
  • Building Generative AI-Powered Applications with Python: IBM
  • Procesamiento de Lenguaje Natural: Universidad Austral
  • Tweet Emotion Recognition with TensorFlow: Coursera
  • Machine Learning - Anomaly Detection via PyCaret: Coursera
  • Rust Fundamentals: Duke University
  • Generative AI Essentials: Overview and Impact: University of Michigan
  • Explainable AI (XAI): Duke University
  • Preparing for the SAS Programming Certification Exam : SAS

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