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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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    Simplilearn

    Advanced Prompt Engineering Course

    Skills you'll gain: Prompt Patterns, Prompt Engineering Tools, LangChain, Retrieval-Augmented Generation, Generative AI, AI Workflows, LLM Application, Large Language Modeling, OpenAI API, Data Synthesis

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    Skills you'll gain: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines

    Mixed · Course · 1 - 4 Weeks

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    Universidad Nacional Autónoma de México

    Estadística y probabilidad: principios de Inferencia

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Sampling (Statistics), Probability & Statistics, Probability, Statistics, Statistical Analysis, Descriptive Statistics

    3.1
    Rating, 3.1 out of 5 stars
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    16 reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    GenAI in Insurance: Automating Claims & Risk Mitigation

    Skills you'll gain: Generative AI, Insurance, AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Underwriting, AI Personalization, Operational Efficiency, Data-Driven Decision-Making, Claims Processing, Personalized Service, Artificial Intelligence, Automation, Risk Management, Analytics, Risk Mitigation, Prompt Engineering, Systems Integration

    Intermediate · Course · 1 - 4 Weeks

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    Johns Hopkins University

    R 프로그래밍

    Skills you'll gain: R Programming, Statistical Programming, Statistical Analysis, Data Analysis Software, Debugging, Software Installation, Simulations, Integrated Development Environments, Programming Principles, Data Manipulation, Program Development, Data Import/Export, Performance Tuning, File I/O

    Intermediate · Course · 1 - 4 Weeks

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    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

    Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Supervised Learning, Predictive Analytics, Classification Algorithms, Image Analysis, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Python Programming

    Mixed · Course · 1 - 3 Months

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    Illinois Tech

    Variable Selection, Model Validation, Nonlinear Regression

    Skills you'll gain: Statistical Inference, Regression Analysis, Logistic Regression, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Predictive Modeling, Model Evaluation, Statistical Hypothesis Testing, Probability Distribution, Probability

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 4 Weeks

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    American Psychological Association

    Measures of Correlation and Contingency

    Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Software, Statistical Analysis, Statistical Methods, Probability & Statistics, Quantitative Research, Data Analysis, Descriptive Statistics, Statistical Hypothesis Testing

    Beginner · Course · 1 - 3 Months

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    Edureka

    Getting Started with Generative AI

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Embeddings, Data Preprocessing, AI Personalization, Deep Learning, Model Evaluation, Transfer Learning, Model Deployment, Open Source Technology, Data Processing, Machine Learning, Data Cleansing, Data Visualization, Database Systems

    Beginner · Course · 1 - 3 Months

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    Coursera

    Machine/Deep Learning for Mining Quality Prediction-Enhanced

    Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Preprocessing, Regression Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Analysis, Matplotlib, Random Forest Algorithm, Machine Learning, Data Visualization, Decision Tree Learning, Artificial Neural Networks, Deep Learning, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
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    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    Google Cloud

    Machine Learning in the Enterprise - Français

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Management, Google Cloud Platform, Data Governance, Workflow Management, AI Workflows, Enterprise Modeling, Model Evaluation, Applied Machine Learning, Data Pipelines, Machine Learning

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Mastering Oracle SQL Functions with SQL Developer

    Skills you'll gain: Oracle SQL Developer, SQL, Oracle Databases, Database Management, Data Analysis, Performance Tuning, Business Intelligence, Data Manipulation, Analytics, Data Transformation

    4.5
    Rating, 4.5 out of 5 stars
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    11 reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Advanced Prompt Engineering Course: Simplilearn
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
  • Estadística y probabilidad: principios de Inferencia: Universidad Nacional Autónoma de México
  • GenAI in Insurance: Automating Claims & Risk Mitigation: Coursera
  • R 프로그래밍: Johns Hopkins University
  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
  • Variable Selection, Model Validation, Nonlinear Regression: Illinois Tech
  • Measures of Correlation and Contingency: American Psychological Association
  • Getting Started with Generative AI: Edureka
  • Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera

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