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  • Applied Data Science

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: Free Trial
    Free Trial
    I

    IBM

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, ChatGPT, Responsible AI, OpenAI, AI Product Strategy, Data Ethics, Large Language Modeling, Leadership and Management, LLM Application, Strategic Leadership, Risking, Business Ethics, Legal Risk, Artificial Intelligence and Machine Learning (AI/ML), Business Development, Deep Learning, Content Creation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    Generative AI Using SAS

    Skills you'll gain: Generative AI, Large Language Modeling, Responsible AI, Data Synthesis, Artificial Intelligence and Machine Learning (AI/ML), SAS (Software), Applied Machine Learning, Deep Learning, Text Mining, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Linear Regression and Modeling

    Skills you'll gain: Regression Analysis, R (Software), Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Data Analysis, Statistical Methods, Exploratory Data Analysis, Mathematical Modeling, Statistics, Predictive Modeling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Network Analysis for Marketing Analytics

    Skills you'll gain: Network Analysis, Social Network Analysis, Marketing Analytics, Data Science, Unstructured Data, Text Mining, Data Structures, Data Visualization, Natural Language Processing, Scientific Visualization, Python Programming, Data Manipulation

    Build toward a degree

    2.8
    Rating, 2.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Stay Ahead of the AI Curve

    Skills you'll gain: Responsible AI, Strategic Thinking, Generative AI, Analysis

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

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    LLM Engineer’s Handbook

    Skills you'll gain: Large Language Modeling, MLOps (Machine Learning Operations), Prompt Engineering, AWS SageMaker, Extract, Transform, Load, Data Pipelines, CI/CD, Supervised Learning, Application Deployment, Scalability, Performance Tuning

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistical Inference

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Statistics, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    4.5K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Artificial Neural Networks, Performance Testing, Linear Algebra, Performance Tuning, Predictive Modeling, Pseudocode, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Building, Evaluating, and Operationalizing ML Models

    Skills you'll gain: Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Linear Regression with R: Build & Optimize

    Skills you'll gain: Regression Analysis, Statistical Methods, Data Visualization, Statistical Modeling, Feature Engineering, Predictive Modeling, Data Validation, Data Analysis, R Programming, Supervised Learning, Statistical Hypothesis Testing

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Calculating Descriptive Statistics in R

    Skills you'll gain: Descriptive Statistics, Data Analysis, Exploratory Data Analysis, Quantitative Research, R Programming, Statistical Analysis, Probability & Statistics, Statistics, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    52 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    ChatGPT: Excel at Personal Automation with GPTs, AI & Zapier

    Skills you'll gain: Generative AI Agents, Prompt Engineering, ChatGPT, Prompt Patterns, Generative AI, Agentic systems, LLM Application, Productivity, Email Automation, AI Personalization, OpenAI, Expense Management, Artificial Intelligence, Personalized Service, Expense Reports, Large Language Modeling, Workflow Management, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Automation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.7K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Generative AI Fundamentals: IBM
  • Generative AI Using SAS: SAS
  • Linear Regression and Modeling : Duke University
  • Network Analysis for Marketing Analytics: University of Colorado Boulder
  • Stay Ahead of the AI Curve: Google
  • LLM Engineer’s Handbook: Packt
  • Statistical Inference: Johns Hopkins University
  • Reinforcement Learning: University of Alberta
  • Building, Evaluating, and Operationalizing ML Models: Packt
  • Linear Regression with R: Build & Optimize: EDUCBA

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