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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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    T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)

    3.8
    Rating, 3.8 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Generative AI: Governance, Policy, and Emerging Regulation

    Skills you'll gain: Responsible AI, Governance, Data Governance, Data Management, Compliance Management, Generative AI, Artificial Intelligence, Stakeholder Management, Risk Analysis, Cost Benefit Analysis, Regulation and Legal Compliance, Organizational Strategy, Leadership and Management, Risk Management, Accountability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    76 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    M

    Microsoft

    Relational Database Design and Advanced Querying

    Skills you'll gain: Star Schema, Microsoft SQL Servers, Database Design, Relational Databases, SQL, Data Warehousing, Query Languages, Database Architecture and Administration, Data Integrity, Power BI, Business Intelligence, Performance Tuning, Generative AI

    5
    Rating, 5 out of 5 stars
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    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Explainable deep learning models for healthcare - CDSS 3

    Skills you'll gain: Autoencoders, Model Evaluation, Deep Learning, Healthcare 5.0, Recurrent Neural Networks (RNNs), Applied Machine Learning, Time Series Analysis and Forecasting, Machine Learning, Convolutional Neural Networks, Responsible AI, Electocardiography, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
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    15 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Building Systems with the ChatGPT API

    Skills you'll gain: ChatGPT, OpenAI API, LLM Application, Large Language Modeling, Prompt Engineering, AI Workflows, Jupyter

    4.7
    Rating, 4.7 out of 5 stars
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    301 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Feature Engineering en Español

    Skills you'll gain: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, Applied Machine Learning, Data Transformation, Keras (Neural Network Library), Data Pipelines, Data Modeling, Machine Learning, Python Programming, Statistical Methods

    4.4
    Rating, 4.4 out of 5 stars
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    37 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    C

    Coursera

    Building a Machine Learning Solution

    Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Collection, Model Deployment, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Applied Machine Learning, Data Analysis, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Generative AI, Data Preprocessing, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Advanced Deep Learning Techniques for Computer Vision

    Skills you'll gain: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Transfer Learning, Data Synthesis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    데이터 과학자의 도구 상자

    Skills you'll gain: Rmarkdown, Data Science, R (Software), GitHub, Version Control, Data Analysis, Big Data, R Programming, Git (Version Control System), Statistical Programming, Exploratory Data Analysis, Data Management

    4.7
    Rating, 4.7 out of 5 stars
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    9 reviews

    Mixed · Course · 1 - 4 Weeks

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    R

    Real Madrid Graduate School Universidad Europea

    AI in Sports: The Approach of a Club

    Skills you'll gain: Artificial Intelligence, Performance Analysis, Automation, Personalized Service, Digital Transformation, Augmented and Virtual Reality (AR/VR), Technology Strategies, Innovation, Internet Of Things, Machine Learning, Big Data, Ethical Standards And Conduct, Deep Learning, Analytical Skills, Predictive Analytics, Health Technology, Data Analysis, Natural Language Processing, User Experience, Data Security

    4.8
    Rating, 4.8 out of 5 stars
    ·
    14 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Responsible AI - Principles and Ethical Considerations

    Skills you'll gain: Responsible AI, Data Ethics, AI Security, Artificial Intelligence, Ethical Standards And Conduct, Information Privacy, Personally Identifiable Information, Data Governance, Data Security, Governance, Complex Problem Solving, Critical Thinking

    4.5
    Rating, 4.5 out of 5 stars
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    21 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Explainable Machine Learning (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
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    22 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Machine Learning: Concepts and Applications: The University of Chicago
  • Generative AI: Governance, Policy, and Emerging Regulation: University of Michigan
  • Relational Database Design and Advanced Querying: Microsoft
  • Explainable deep learning models for healthcare - CDSS 3: University of Glasgow
  • Building Systems with the ChatGPT API: DeepLearning.AI
  • Feature Engineering en Español: Google Cloud
  • Building a Machine Learning Solution: Coursera
  • Advanced Deep Learning Techniques for Computer Vision: MathWorks
  • 데이터 과학자의 도구 상자: Johns Hopkins University
  • AI in Sports: The Approach of a Club: Real Madrid Graduate School Universidad Europea

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