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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: Free Trial
    Free Trial
    D

    Duke University

    AI Product Management

    Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Data Ethics, Data Management, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Human Centered Design, Machine Learning, Human Factors, Regression Analysis, Technical Management, Applied Machine Learning, Project Management, Product Management, Product Design, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    946 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Genomic Technologies

    Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Computer Science, Statistical Analysis, Computational Thinking, Biostatistics, Statistics, Software Engineering, Algorithms, Biology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.8K reviews

    Mixed · Course · 1 - 4 Weeks

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

    EDUCBA

    Artificial Intelligence with Python: Foundations to Projects

    Skills you'll gain: Unsupervised Learning, Seaborn, Matplotlib, Predictive Modeling, Supervised Learning, NumPy, Applied Machine Learning, Predictive Analytics, Dimensionality Reduction, Random Forest Algorithm, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Scatter Plots, Tensorflow, Data Visualization Software, Python Programming, Data Science, Machine Learning, Data Analysis

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Foundations for Everyone: A Practical Intro for Beginners

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Responsible AI, IBM Cloud, Workflow Management, Action Oriented, No-Code Development, Machine Learning Software, Natural Language Processing, Business Workflow Analysis, Machine Learning, Artificial Intelligence, Self Service Technologies, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Case Studies, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    33K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Engineering with Python, PyTorch & TensorFlow

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Computer Vision, PyTorch (Machine Learning Library), Unsupervised Learning, Generative AI, PySpark, Keras (Neural Network Library), Supervised Learning, Deep Learning, Image Analysis, Reinforcement Learning, Regression Analysis, LLM Application, Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    The Structured Query Language (SQL)

    Skills you'll gain: SQL, Database Management, Query Languages, Relational Databases, Database Design, Database Theory, Database Administration, Data Analysis, Database Application, Data Access, Data Manipulation, Data Science, Data Modeling

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

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

    EDUCBA

    Machine Learning with Python: Build & Optimize

    Skills you'll gain: Matplotlib, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Data Processing, Pandas (Python Package), NumPy, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Machine Learning, Data Manipulation, Data Science, Dimensionality Reduction, Statistical Modeling, Feature Engineering, Unsupervised Learning, Performance Tuning

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Foundations of Probability and Statistics

    Skills you'll gain: Probability, Statistical Inference, Markov Model, Estimation, Statistical Methods, Probability & Statistics, Statistics, Probability Distribution, Data Literacy, Statistical Analysis, Bayesian Statistics, Sampling (Statistics), Applied Mathematics, Mathematical Modeling, Statistical Modeling, Data Science, Theoretical Computer Science, Data Analysis, Machine Learning Algorithms, Artificial Intelligence

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    315 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Data Science, Algorithms, Data Manipulation, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Beginner · Course · 1 - 3 Months

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

    EDUCBA

    AI & Predictive Analytics with Python

    Skills you'll gain: Unsupervised Learning, Predictive Modeling, Supervised Learning, Applied Machine Learning, Predictive Analytics, Random Forest Algorithm, Text Mining, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence, Computational Logic, Python Programming, Scikit Learn (Machine Learning Library), Data Science, Data Processing, Unstructured Data, Algorithms

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Exploratory Data Analysis, Data Wrangling, Prompt Patterns, LangChain, Large Language Modeling, Generative AI, Unsupervised Learning, PyTorch (Machine Learning Library), ChatGPT, Restful API, Keras (Neural Network Library), Data Transformation, Supervised Learning, Flask (Web Framework), Data Analysis, Data Cleansing, Responsible AI, LLM Application, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    95K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Statistical Modeling, Data Transformation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    31K reviews

    Beginner · Course · 1 - 4 Weeks

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

  • AI Product Management: Duke University
  • Introduction to Genomic Technologies: Johns Hopkins University
  • Artificial Intelligence with Python: Foundations to Projects: EDUCBA
  • AI Foundations for Everyone: A Practical Intro for Beginners: IBM
  • IBM AI Engineering with Python, PyTorch & TensorFlow: IBM
  • The Structured Query Language (SQL): University of Colorado Boulder
  • Machine Learning with Python: Build & Optimize: EDUCBA
  • Foundations of Probability and Statistics: University of Colorado Boulder
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • AI & Predictive Analytics with Python: EDUCBA

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