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Applied Data Science Courses Online

Master applied data science techniques for real-world problem-solving. Learn data manipulation, visualization, and machine learning using Python.

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Explore the Applied Data Science Course Catalog

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Google Prompting Essentials

    Skills you'll gain: Data Visualization, Multimodal Prompts, Prompt Engineering, Data Presentation, Prompt Patterns, Graphing, Generative AI Agents, Generative AI, Timelines, LLM Application, ChatGPT, Artificial Intelligence, Complex Problem Solving, Ideation, Business Correspondence, Report Writing, Solution Design, Critical Thinking, Document Management, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.9K reviews

    Beginner · Specialization · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Machine Learning in Production

    Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Data-Driven Decision-Making, Continuous Monitoring, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Sports Performance Analytics

    Skills you'll gain: Forecasting, Statistical Methods, Exercise Science, Regression Analysis, Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Sports Medicine, Correlation Analysis, Predictive Modeling, Matplotlib, Data Manipulation, Applied Machine Learning, Injury Prevention, Analytics, Data Analysis, Statistical Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    269 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    R: Design & Evaluate Random Forests for Attrition

    Skills you'll gain: People Analytics, Data Validation, Data Processing, Workforce Management, Advanced Analytics

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    5.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Skills you'll gain: Supervised Learning, Random Forest Algorithm, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Predictive Modeling, Performance Testing, Data Analysis, Scikit Learn (Machine Learning Library), Python Programming

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Managing Machine Learning Projects

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Quality, Technical Management, Applied Machine Learning, Project Management, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Software Development Life Cycle, Machine Learning, Data Cleansing, Data Pipelines, Technical Design, Technology Solutions, Systems Design, Data Collection, Data Science, Systems Architecture, Feature Engineering, System Monitoring

    4.8
    Rating, 4.8 out of 5 stars
    ·
    288 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera Project Network

    Create Interactive Dashboards with Streamlit and Python

    Skills you'll gain: Plotly, Dashboard, Pandas (Python Package), Data Manipulation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Web Applications, Data Science, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    397 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    R: Apply & Analyze K-Means Clustering for Unsupervised ML

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, R Programming, Statistical Machine Learning, Machine Learning, Feature Engineering, Data Analysis, Data Manipulation, Data Transformation

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    The R Programming Environment

    Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Transformation, Data Cleansing, Data Science, Big Data, Statistical Programming, Text Mining, Application Programming Interface (API)

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera Project Network

    Support Vector Machines in Python, From Start to Finish

    Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Cloud Computing, Classification And Regression Tree (CART), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Python Programming, Pandas (Python Package), Data Science, Machine Learning, Data Visualization, Data Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    156 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Getting Started with R

    Skills you'll gain: R (Software), Data Import/Export, Package and Software Management, R Programming, Data Structures, Data-oriented programming, Statistical Programming, Data Analysis Software, Data Analysis, Data Science

    4.3
    Rating, 4.3 out of 5 stars
    ·
    383 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Google Prompting Essentials: Google
  • Machine Learning in Production: DeepLearning.AI
  • Sports Performance Analytics: University of Michigan
  • R: Design & Evaluate Random Forests for Attrition: EDUCBA
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA
  • Managing Machine Learning Projects: Duke University
  • Create Interactive Dashboards with Streamlit and Python: Coursera Project Network
  • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
  • The R Programming Environment: Johns Hopkins University

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