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  • Applied Data Science

Applied Data Science Courses

Applied Data Science courses can help you learn data analysis, statistical modeling, machine learning, and data visualization techniques. You can build skills in data cleaning, exploratory data analysis, and predictive analytics to derive insights from complex datasets. Many courses introduce tools like Python, R, and SQL, along with libraries such as Pandas and Scikit-learn, that support implementing data-driven solutions and automating processes in real-world applications.


Popular Applied Data Science Courses and Certifications


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced R Programming

    Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Programming Principles, Data Manipulation, Data Structures, Software Design Patterns, Performance Tuning, Performance Testing

    4.2
    Rating, 4.2 out of 5 stars
    ·
    576 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    MATLAB Programming for Engineers and Scientists

    Skills you'll gain: Prompt Engineering, Image Analysis, Data Visualization Software, File I/O, Matlab, Algorithms, User Interface (UI), Applied Machine Learning, ChatGPT, Scatter Plots, Object Oriented Programming (OOP), Digital Signal Processing, Mathematical Software, Computer Programming, Histogram, Predictive Modeling, AI Personalization, Data Processing, Data Analysis, Programming Principles

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Minnesota

    Interprofessional Healthcare Informatics

    Skills you'll gain: Health Informatics, Health Technology, Telehealth, Interoperability, Clinical Informatics, Electronic Medical Record, Health Care, Health Information Management, Community Health, Healthcare Ethics, Dental Informatics, Public Health, Data Ethics, Geospatial Information and Technology, Data Visualization, Graph Theory

    4.4
    Rating, 4.4 out of 5 stars
    ·
    314 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    451 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Transfer Learning, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Artificial Neural Networks, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    76 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Classification Algorithms, Data Transformation, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    114 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Business Applications of Hypothesis Testing and Confidence Interval Estimation

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Data Analysis, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Campus BBVA

    Business Analytics

    Skills you'll gain: Data Storytelling, Data-Driven Decision-Making, Data Visualization, Business Analytics, Dashboard, Data Quality, Data Analysis, Descriptive Statistics, Business Intelligence, Probability & Statistics, Statistical Inference, Statistics, Big Data, Statistical Analysis, Key Performance Indicators (KPIs)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    218 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    Skills you'll gain: Machine Learning Algorithms, Data Visualization, Dashboard, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Data Science, Python Programming, Pandas (Python Package)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    416 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Java Programming and Software Engineering Fundamentals

    Skills you'll gain: File I/O, Java Programming, Software Design, Debugging, Software Engineering, Javascript, Computer Programming, Event-Driven Programming, Encryption, Algorithms, Image Analysis, AI Personalization, Program Development, Data Processing, Statistical Analysis, Data Import/Export, Predictive Modeling, Integrated Development Environments, Data Analysis, Cascading Style Sheets (CSS)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    OpenAI GPTs: Creating Your Own Custom AI Assistants

    Skills you'll gain: Generative AI, AI Personalization, ChatGPT, OpenAI, Artificial Intelligence, Prompt Engineering, LLM Application, Expense Management, Productivity Software, Verification And Validation, Travel Arrangements, Test Case, Interaction Design

    4.8
    Rating, 4.8 out of 5 stars
    ·
    745 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Advanced R Programming: Johns Hopkins University
  • MATLAB Programming for Engineers and Scientists: Vanderbilt University
  • Interprofessional Healthcare Informatics : University of Minnesota
  • Supervised Machine Learning: Classification: IBM
  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
  • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
  • Machine Learning with Apache Spark: IBM
  • Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
  • Business Analytics: Campus BBVA
  • Build a Machine Learning Web App with Streamlit and Python: Coursera

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