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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
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing in TensorFlow

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Generative AI, Artificial Neural Networks, Text Mining, Applied Machine Learning, Data Preprocessing, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.5K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Convolutional Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Artificial Neural Networks, Keras (Neural Network Library), Tensorflow, PyTorch (Machine Learning Library), Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    43K reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    أساسيات تحليل البيانات باستخدام جداول بيانات جوجل

    Skills you'll gain: Google Sheets, Exploratory Data Analysis, Statistical Analysis, Data Analysis, Data Presentation, Spreadsheet Software, Data Visualization, Graphing, Statistics, Data Science, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    185 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Generative AI Assistants

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Generative AI, Ideation, Verification And Validation, LLM Application, Productivity, OpenAI, AI Personalization, Responsible AI, AI Enablement, Creativity, Large Language Modeling, Artificial Intelligence, Risk Management Framework, Expense Management, Productivity Software, Travel Arrangements, Test Case

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.4K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Introduction to AI

    Skills you'll gain: Generative AI, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Natural Language Processing, Innovation, Critical Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    ¿Cómo hemos llegado hasta aquí?El desarrollo de la analítica

    Skills you'll gain: Analytics, Business Analytics, Trend Analysis, Data-Driven Decision-Making, Advanced Analytics, Data Analysis, Analysis, Predictive Analytics, Case Studies, Spatial Analysis, Mathematical Modeling, Data Collection, Performance Reporting, Data Presentation, Predictive Modeling, Innovation, Learning Styles, Leadership, Computer Vision, Communication

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    Conceptos imprescindibles - Requisitos para el análisis

    Skills you'll gain: Data Literacy, Technical Communication, Probability & Statistics, Web Scraping, Data Import/Export, JSON, Statistical Analysis, Pandas (Python Package), Analytical Skills, Descriptive Statistics, Data Manipulation, Probability, Data Collection, Data Capture, Restful API, Performance Measurement, Data Cleansing, Application Programming Interface (API)

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Build & Adapt LLM Models with Confidence

    Skills you'll gain: Model Deployment, LLM Application, Large Language Modeling, System Monitoring, Scalability, Hugging Face, Cloud Deployment, Performance Tuning, MLOps (Machine Learning Operations), Prompt Engineering, Transfer Learning, AI Security, Applied Machine Learning, Application Security, Artificial Intelligence, API Design, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Rust Programming

    Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), Jenkins, Application Deployment, DevOps, LLM Application, Hugging Face, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Amazon Web Services, Command-Line Interface, Natural Language Processing, Computer Programming, Cloud Computing

    3.9
    Rating, 3.9 out of 5 stars
    ·
    265 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning in the Enterprise

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Google Cloud Platform, AI Workflows, Data Management, Data Governance, Tensorflow, Data Preprocessing, Data Pipelines, Machine Learning, Predictive Modeling, Model Evaluation, Cloud Computing, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Databricks to Local LLMs

    Skills you'll gain: Databricks, Model Deployment, Generative AI, Data Lakes, Extract, Transform, Load, MLOps (Machine Learning Operations), Data Transformation, LLM Application, Data Pipelines, Hugging Face, Large Language Modeling, Apache Spark, Responsible AI, Data Analysis, Data Science, Machine Learning

    4.1
    Rating, 4.1 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    NVIDIA

    AI Infrastructure and Operations Fundamentals

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Large Language Modeling, MLOps (Machine Learning Operations), Artificial Intelligence, Cloud Computing, Model Deployment, Cloud Infrastructure, AI Orchestration, Infrastructure Architecture, Data Infrastructure, Devops Tools, IT Infrastructure, Information Technology Operations, Deep Learning, Network Infrastructure, Hardware Architecture, Machine Learning, Data Centers, Computer Architecture

    4.6
    Rating, 4.6 out of 5 stars
    ·
    449 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Natural Language Processing in TensorFlow: DeepLearning.AI
  • Convolutional Neural Networks: DeepLearning.AI
  • أساسيات تحليل البيانات باستخدام جداول بيانات جوجل : Coursera
  • Generative AI Assistants: Vanderbilt University
  • Introduction to AI: Google
  • ¿Cómo hemos llegado hasta aquí?El desarrollo de la analítica: Real Madrid Graduate School Universidad Europea
  • Conceptos imprescindibles - Requisitos para el análisis : Real Madrid Graduate School Universidad Europea
  • Build & Adapt LLM Models with Confidence: Coursera
  • Rust Programming: Duke University
  • Machine Learning in the Enterprise: Google Cloud

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