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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: Preview
    Preview
    J

    Johns Hopkins University

    The Unix Workbench

    Skills you'll gain: GitHub, Unix, Git (Version Control System), Unix Commands, Bash (Scripting Language), Ubuntu, Command-Line Interface, Cloud Computing, Shell Script, Linux, Mac OS, Scripting, Scripting Languages, File Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Introduction to RNN and DNN

    Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Machine Learning, Predictive Modeling, Natural Language Processing, Python Programming, Performance Tuning, Data Science

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning with ChatGPT: Image Classification Model

    Skills you'll gain: ChatGPT, Keras (Neural Network Library), Applied Machine Learning, Image Analysis, Data Import/Export, Test Data, Machine Learning, Python Programming, Performance Tuning, Artificial Neural Networks, Data Processing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    33 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    C

    Columbia University

    Causal Inference 2

    Skills you'll gain: Statistical Inference, Econometrics, Advanced Analytics, Statistical Analysis, Regression Analysis, Time Series Analysis and Forecasting, Statistical Methods, Statistical Modeling, Research Design

    3.3
    Rating, 3.3 out of 5 stars
    ·
    15 reviews

    Advanced · Course · 1 - 3 Months

  • E

    EIT Digital

    Advanced Recommender Systems

    Skills you'll gain: Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Dimensionality Reduction, Machine Learning, Unsupervised Learning, Supervised Learning, Predictive Modeling, Algorithms, Data Analysis

    3.8
    Rating, 3.8 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Informed Clinical Decision Making using Deep Learning

    Skills you'll gain: Deep Learning, Data Ethics, Health Informatics, ICD Coding (ICD-9/ICD-10), Clinical Data Management, Medical Records, Clinical Informatics, Descriptive Analytics, Database Design, Electronic Medical Record, Responsible AI, Data Mining, Precision Medicine, Analytics, Relational Databases, Electocardiography, Machine Learning, Machine Learning Methods, Applied Machine Learning, Image Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    35 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Preparing for the SAS Programming Certification Exam

    Skills you'll gain: Data Manipulation, Data Access, Data Import/Export, SAS (Software), Microsoft Excel, Data Analysis, Statistical Programming, Exploratory Data Analysis, Descriptive Statistics, Data Validation, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    140 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Matrix Factorization and Advanced Techniques

    Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Algorithms, Advanced Mathematics, Linear Algebra

    4.3
    Rating, 4.3 out of 5 stars
    ·
    189 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Machine Learning Essentials

    Skills you'll gain: Statistical Machine Learning, Statistical Methods, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Regression Analysis, Statistical Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning Algorithms, Data Science, Statistical Inference, Predictive Modeling, Probability & Statistics, Dimensionality Reduction

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    NoSQL systems

    Skills you'll gain: NoSQL, Database Systems, MongoDB, Database Management Systems, Databases, Database Design, Relational Databases, Query Languages, Apache Cassandra, Scalability, Graph Theory, Unstructured Data, Maintainability

    4.3
    Rating, 4.3 out of 5 stars
    ·
    167 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    SAS

    Using SAS Viya REST APIs with Python and R

    Skills you'll gain: SAS (Software), Data Analysis Software, R (Software), Advanced Analytics, R Programming, Big Data, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Statistical Programming, Jupyter, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Deep Learning, Data Processing, Restful API, Computer Vision, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    R

    Rice University

    Introduction à l'analyse de données à l'aide d'Excel

    Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Spreadsheet Software, Excel Formulas, Data Visualization Software, Graphing, Data Analysis, Scatter Plots, Histogram, Data Manipulation, Data Import/Export

    4.5
    Rating, 4.5 out of 5 stars
    ·
    20 reviews

    Mixed · Course · 1 - 4 Weeks

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

  • The Unix Workbench: Johns Hopkins University
  • Introduction to RNN and DNN: Packt
  • Machine Learning with ChatGPT: Image Classification Model: Coursera
  • Causal Inference 2: Columbia University
  • Advanced Recommender Systems: EIT Digital
  • Informed Clinical Decision Making using Deep Learning: University of Glasgow
  • Preparing for the SAS Programming Certification Exam : SAS
  • Matrix Factorization and Advanced Techniques: University of Minnesota
  • Machine Learning Essentials: University of Pennsylvania
  • NoSQL systems: Universidad Nacional Autónoma de México

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