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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


  • Status: Free Trial
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    IBM

    Generative AI Engineering and Fine-Tuning Transformers

    Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, Transfer Learning, PyTorch (Machine Learning Library), Performance Tuning, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    99 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Azure ML Bootcamp: Machine Learning on the Cloud

    Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Large Language Modeling, Data Cleansing, Supervised Learning, Data Transformation, Cloud Deployment, Data Ethics, CI/CD, Machine Learning Algorithms, Transfer Learning, Data Quality, Performance Tuning

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    E

    Edureka

    Generative AI's Applications in Marketing Analytics

    Skills you'll gain: Marketing Management, Case Studies, Data Preprocessing, Artificial Intelligence, Emerging Technologies, Exploratory Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Fundamentals of Database Systems

    Skills you'll gain: Information Systems, Database Software, Database Systems, Database Design, Information Management, Data Modeling, Diagram Design, Relational Databases, Database Management, Data Management

    4.3
    Rating, 4.3 out of 5 stars
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    32 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Imperial College London

    Customising your models with TensorFlow 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Data Pipelines, Keras (Neural Network Library), Transfer Learning, Deep Learning, Convolutional Neural Networks, Natural Language Processing, Embeddings, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
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    195 reviews

    Intermediate · Course · 1 - 3 Months

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    N

    National Taiwan University

    機器學習技法 (Machine Learning Techniques)

    Skills you'll gain: Feature Engineering, Autoencoders, Machine Learning Algorithms, Supervised Learning, Decision Tree Learning, Random Forest Algorithm, Applied Machine Learning, Machine Learning, Classification Algorithms, Deep Learning, Model Evaluation, Artificial Neural Networks, Dimensionality Reduction, Embeddings, Logistic Regression

    4.9
    Rating, 4.9 out of 5 stars
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    35 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Tools: MLflow and Hugging Face

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Hugging Face, Containerization, CI/CD, DevOps, Docker (Software), Microsoft Azure, Cloud Computing, Machine Learning Software, Transfer Learning, Model Evaluation, GitHub

    3.7
    Rating, 3.7 out of 5 stars
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    59 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    R

    Real Madrid Graduate School Universidad Europea

    Introduction to AI and Technology in Sports

    Skills you'll gain: Sports Medicine, Analytics, Artificial Intelligence, AI Enablement, Data Analysis Software, Data Analysis, Deep Learning, Real Time Data, Machine Learning, Data Ethics, Health Technology, AI Security, Responsible AI, Large Language Modeling, Technology Solutions, Scikit Learn (Machine Learning Library), Technology Strategies, Statistical Methods, Natural Language Processing, Performance Appraisal

    4.5
    Rating, 4.5 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Starweaver

    Introduction to Automotive Embedded Systems

    Skills you'll gain: Embedded Systems, Electronic Systems, Cybersecurity, Automation, Electronics, Sustainable Technologies, Control Systems, Internet Of Things, Software Development, Real-Time Operating Systems, Systems Integration, Artificial Intelligence

    4.5
    Rating, 4.5 out of 5 stars
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    41 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Optimizing Performance of LookML Queries

    Skills you'll gain: Performance Tuning, Query Languages, Exploratory Data Analysis, Database Management, Data Persistence, Data Analysis, System Monitoring, Google Cloud Platform

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Python: Istruzioni per l’uso

    Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Computer Programming, Scripting, Programming Principles, Data Management, Functional Design, Debugging, Database Management, File Management, Databases

    4.1
    Rating, 4.1 out of 5 stars
    ·
    41 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Automation & Advanced Techniques with Copilot in Excel

    Skills you'll gain: Excel Macros, Dashboard, Forecasting, Microsoft Copilot, Microsoft Excel, Workflow Management, UI Components, Visual Basic (Programming Language), Data Analysis Expressions (DAX), User Interface (UI), Automation, Debugging, Scenario Testing, Programming Principles

    4.6
    Rating, 4.6 out of 5 stars
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    46 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Generative AI Engineering and Fine-Tuning Transformers: IBM
  • Azure ML Bootcamp: Machine Learning on the Cloud: Packt
  • Generative AI's Applications in Marketing Analytics: Edureka
  • Fundamentals of Database Systems: Coursera
  • Customising your models with TensorFlow 2: Imperial College London
  • 機器學習技法 (Machine Learning Techniques): National Taiwan University
  • MLOps Tools: MLflow and Hugging Face: Duke University
  • Introduction to AI and Technology in Sports: Real Madrid Graduate School Universidad Europea
  • Introduction to Automotive Embedded Systems: Starweaver
  • Optimizing Performance of LookML Queries: Google Cloud

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