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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


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    U

    University of Colorado Boulder

    Introduction to Python for Scientific Computing

    Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
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    14 reviews

    Beginner · Course · 1 - 4 Weeks

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    C

    Coursera

    Align AI: Ethics, Strategy & Excellence

    Skills you'll gain: Responsible AI, Data Ethics, Organizational Strategy, AI Enablement, Artificial Intelligence, Strategic Leadership, Cross-Functional Collaboration, Governance, Artificial Intelligence and Machine Learning (AI/ML), Decision Making, Business Ethics, Technology Roadmaps, Data Governance, Enterprise Architecture, Organizational Structure, Strategic Prioritization, Scalability, Risk Analysis, Business Risk Management

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Diabetes Prediction With Pyspark MLLIB

    Skills you'll gain: Data Preprocessing, Logistic Regression, Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Classification And Regression Tree (CART), Data Science, Machine Learning, Google Cloud Platform, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    22 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    C

    Coursera

    GenAI Deployment & Governance

    Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Prompt Engineering, Continuous Deployment, Generative AI, System Monitoring, CI/CD, Responsible AI, Automation, DevOps, Compliance Management, Performance Tuning, Data Pipelines, Kubernetes, Docker (Software), Containerization, Data Security, Risk Management, Dashboard, Cloud Platforms

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    G

    Google

    Use AI as a Creative or Expert Partner

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Prompt Patterns, AI Enablement, AI Personalization, LLM Application, Ideation, Solution Design

    4.8
    Rating, 4.8 out of 5 stars
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    1.9K reviews

    Beginner · Course · 1 - 4 Weeks

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    G

    Google

    Design Prompts for Everyday Work Tasks

    Skills you'll gain: Prompt Engineering, Brainstorming, Email Automation, AI Enablement, Concision, Large Language Modeling, Business Writing, Productivity, Organizational Skills

    4.8
    Rating, 4.8 out of 5 stars
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    1K reviews

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Real-world End to End Machine Learning Ops on Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Model Deployment, Cloud Management, Kubernetes, Large Language Modeling, CI/CD, Cloud Deployment, Machine Learning Methods, Continuous Deployment, Tensorflow, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration, Feature Engineering, Containerization, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis

    4.7
    Rating, 4.7 out of 5 stars
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    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

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    J

    Johns Hopkins University

    Principles of fMRI 1

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Research Design, Image Analysis, Experimentation, Neurology, Data Preprocessing, Statistical Analysis, Statistical Modeling, Statistical Inference, Statistics

    4.7
    Rating, 4.7 out of 5 stars
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    849 reviews

    Beginner · Course · 1 - 4 Weeks

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    P

    Pontificia Universidad Católica de Chile

    Python para Ciencia de Datos

    Skills you'll gain: Data Visualization, Descriptive Analytics, Data-Driven Decision-Making, Data Analysis, Data Visualization Software, Predictive Analytics, Business Analytics, Database Management, Data Science, Relational Databases, Forecasting, Python Programming

    3.8
    Rating, 3.8 out of 5 stars
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    71 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    G

    Google

    Stay Ahead of the AI Curve

    Skills you'll gain: Prompt Engineering, AI Enablement, Strategic Thinking, Generative AI, Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    5.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Specialized Models: Time Series and Survival Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Jupyter, Applied Machine Learning, Data Transformation, Model Evaluation, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
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    139 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Introduction to Python for Scientific Computing: University of Colorado Boulder
  • Align AI: Ethics, Strategy & Excellence: Coursera
  • Diabetes Prediction With Pyspark MLLIB: Coursera
  • GenAI Deployment & Governance: Coursera
  • Use AI as a Creative or Expert Partner: Google
  • Design Prompts for Everyday Work Tasks: Google
  • Real-world End to End Machine Learning Ops on Google Cloud: Packt
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • Principles of fMRI 1: Johns Hopkins University
  • Python para Ciencia de Datos: Pontificia Universidad Católica de Chile

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