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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
    D

    Duke University

    Human Factors in AI

    Skills you'll gain: Responsible AI, Data Ethics, Human Computer Interaction, User Experience Design, Human Centered Design, Human Factors, AI Product Strategy, Personally Identifiable Information, Information Privacy, General Data Protection Regulation (GDPR), Artificial Intelligence, Design Thinking, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    191 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)

    3.9
    Rating, 3.9 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Follow a Machine Learning Workflow

    Skills you'll gain: Data Preprocessing, Data Analysis, Data Collection, AI Workflows, Statistical Analysis, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Model Evaluation, Descriptive Statistics, Feature Engineering, Machine Learning Algorithms, Process Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Regression Modeling in Practice

    Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, Exploratory Data Analysis, SAS (Software), Statistical Programming, Predictive Modeling, Model Evaluation, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    274 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Where, Why, and How of Lambda Functions in Python

    Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Exploratory Data Analysis, Python Programming, Computational Logic

    4.8
    Rating, 4.8 out of 5 stars
    ·
    34 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    K-Means Clustering 101: World Happiness Report

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Social Sciences, Socioeconomics, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 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, AI Security, AI Enablement, Business Leadership, Strategic Leadership, AI Product Strategy, Generative Adversarial Networks (GANs), Business Strategy, Ethical Standards And Conduct, Analytical Skills, Strategic Thinking, Artificial Intelligence, Critical Thinking, Design Thinking, Thought Leadership, Project Implementation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    198 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Functions and Conditional Statements

    Skills you'll gain: Software Design, Computational Logic, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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, Model Evaluation, Linear Algebra

    4.3
    Rating, 4.3 out of 5 stars
    ·
    189 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Probability and Statistical Methods

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistics, Statistical Inference, Probability, R Programming

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Generative AI: Fundamentals, Applications, and Challenges

    Skills you'll gain: Generative AI, Responsible AI, AI Enablement, Data Ethics, AI Product Strategy, AI Security, Social Impact, Governance, Leadership and Management, Model Evaluation, Data Quality

    4.7
    Rating, 4.7 out of 5 stars
    ·
    187 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Rust Fundamentals

    Skills you'll gain: Rust (Programming Language), Test Case, Software Testing, Data Structures, Debugging, GitHub, Programming Principles, Package and Software Management, Development Environment, System Programming, Software Documentation

    4
    Rating, 4 out of 5 stars
    ·
    217 reviews

    Beginner · Course · 1 - 4 Weeks

Searches related to applied data science

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

  • Human Factors in AI: Duke University
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Follow a Machine Learning Workflow: CertNexus
  • Regression Modeling in Practice: Wesleyan University
  • Where, Why, and How of Lambda Functions in Python : Coursera
  • K-Means Clustering 101: World Happiness Report: Coursera
  • Leadership Strategies for AI and Generative AI: Fractal Analytics
  • Functions and Conditional Statements: Google
  • Matrix Factorization and Advanced Techniques: University of Minnesota
  • Advanced Probability and Statistical Methods: Johns Hopkins University

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