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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.


Explore the Applied Data Science Course Catalog


  • Status: New
    New
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    Starweaver

    GenAI Foundations and Prompt Engineering

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI Agents, Enterprise Application Management, ChatGPT, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Development Environment, LLM Application, Large Language Modeling, Systems Architecture, Application Design, Business Metrics, Program Evaluation, Process Optimization, Performance Tuning, Application Programming Interface (API), Debugging

    Intermediate · 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, Jupyter, Data Cleansing, Applied Machine Learning, Data Transformation, Exploratory Data Analysis, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
    ·
    136 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Machine Learning Capstone

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Data Presentation, Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Python Programming, Tensorflow, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
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    176 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    ANOVA and Experimental Design

    Skills you'll gain: Statistical Hypothesis Testing, Research Design, Statistical Analysis, Data Ethics, Statistical Modeling, Data Science, Data Analysis, Quantitative Research, Regression Analysis, Probability & Statistics, Linear Algebra, Calculus

    Build toward a degree

    4
    Rating, 4 out of 5 stars
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    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, PySpark, Data Processing, Data Cleansing, Data Transformation, Apache Spark, Data-Driven Decision-Making, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Application Deployment, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    24 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Google

    Use AI as a Creative or Expert Partner

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Generative AI Agents, LLM Application, Large Language Modeling, Ideation, Solution Design

    4.8
    Rating, 4.8 out of 5 stars
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    1.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Amazon Web Services

    Optimizing Foundation Models

    Skills you'll gain: Amazon Web Services, Agentic systems, Performance Tuning, Prompt Engineering, Feature Engineering, Generative AI, Large Language Modeling, Data Wrangling, Data Cleansing, LLM Application

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Artificial Neural Networks, Cloud Computing, Machine Learning, Data Cleansing, Python Programming, Data Transformation, Application Programming Interface (API)

    4.4
    Rating, 4.4 out of 5 stars
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    2.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Google Cloud

    Feature Engineering

    Skills you'll gain: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Real Time Data, Machine Learning, Data Storage

    4.5
    Rating, 4.5 out of 5 stars
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    1.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    SAS

    Ethical Use of AI Agents and Agentic AI

    Skills you'll gain: Responsible AI, Agentic systems, Data Ethics, Discussion Facilitation, Business Ethics, Ethical Standards And Conduct, Healthcare Ethics, Regulation and Legal Compliance, Artificial Intelligence, Compliance Management, Case Studies, Governance, Accountability, Human Centered Design, Predictive Modeling

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Social Network Analysis

    Skills you'll gain: Social Network Analysis, Network Analysis, Data Wrangling, Social Sciences, Graph Theory, Statistical Visualization, Data Manipulation, Data Visualization, Data Analysis, Predictive Analytics, Simulations

    4.7
    Rating, 4.7 out of 5 stars
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    240 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Leadership Strategies for AI and Generative AI

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Human Centered Design, Problem Solving, Generative Model Architectures, Business Leadership, AI Product Strategy, Business Strategy, Ethical Standards And Conduct, Analytical Skills, Strategic Thinking, Data Strategy, Information Privacy, Personally Identifiable Information, Artificial Intelligence, Critical Thinking, Design Thinking, Thought Leadership, Project Implementation

    4.6
    Rating, 4.6 out of 5 stars
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    188 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • GenAI Foundations and Prompt Engineering : Starweaver
  • Specialized Models: Time Series and Survival Analysis: IBM
  • Machine Learning Capstone: IBM
  • ANOVA and Experimental Design: University of Colorado Boulder
  • Machine Learning with PySpark: Customer Churn Analysis: Coursera
  • Use AI as a Creative or Expert Partner: Google
  • Optimizing Foundation Models: Amazon Web Services
  • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
  • Feature Engineering: Google Cloud
  • Ethical Use of AI Agents and Agentic AI: SAS

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