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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.


More to explore:

Popular Applied Data Science Courses and Certifications


  • C

    Coursera

    Introduction to D3.js

    Skills you'll gain: Data Visualization Software, Data Visualization, Interactive Data Visualization, Visualization (Computer Graphics), JSON, Data Mapping, Javascript

    3.7
    Rating, 3.7 out of 5 stars
    ·
    7 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    P

    Packt

    Machine Learning with PyTorch and Scikit-Learn

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Transfer Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Random Models, Nested and Split-plot Designs

    Skills you'll gain: Statistical Analysis, Regression Analysis, Sampling (Statistics), Statistical Modeling, Statistical Methods, Data Analysis Software, Data Transformation, Statistical Hypothesis Testing, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    35 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Simple Linear Regression for the Absolute Beginner

    Skills you'll gain: Regression Analysis, Visualization (Computer Graphics), Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Supervised Learning, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    67 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Building AI Agents: Automation and NLP Foundations

    Skills you'll gain: CrewAI, Generative AI Agents, Responsible AI, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, AI Orchestration, Artificial Intelligence, Agentic systems, OpenAI, Automation, LLM Application, Data Ethics, Model Evaluation, Innovation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Digging Deeper into Audience Reports in Google Analytics

    Skills you'll gain: Google Analytics, Web Analytics, Benchmarking, Content Performance Analysis, Customer Engagement, Customer Analysis, Performance Analysis, Management Reporting, Customer Retention, User Research, Real Time Data, Marketing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    55 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Interpretable Machine Learning

    Skills you'll gain: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Artificial Intelligence, Machine Learning, Statistical Modeling, Python Programming, Logistic Regression, Deep Learning, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Master in Microsoft Power BI Desktop and Service

    Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Transformation, Business Intelligence, Data Modeling, Interactive Data Visualization, Data Manipulation, Dashboard, Data Visualization Software, Microsoft Excel, SQL Server Reporting Services, Data Warehousing, Data Sharing, Data Integration

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Connect an App to a Cloud SQL for PostgreSQL Instance

    Skills you'll gain: Application Deployment, Kubernetes, Cloud Applications, Cloud Deployment, Google Cloud Platform, Databases, Containerization, Data Access, PostgreSQL, SQL

    5
    Rating, 5 out of 5 stars
    ·
    12 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Methodology and Ethics in AI

    Skills you'll gain: Responsible AI, Data Ethics, Deep Learning, Model Deployment, Debugging, Artificial Intelligence, Machine Learning, Ethical Standards And Conduct, Model Evaluation, Applied Machine Learning, Social Impact, Unstructured Data, Data-Driven Decision-Making, Information Privacy, Case Studies

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    B

    Board Infinity

    DeepSeek Essentials: From Foundations to Real-World Use

    Skills you'll gain: Deepseek, Hugging Face, Large Language Modeling, LLM Application, AI Personalization, ChatGPT, Deep Learning, Open Source Technology, AI Enablement, Model Deployment, Business Modeling, Applied Machine Learning, Analytical Skills, Application Programming Interface (API), Business Process Automation

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Bracketology with Google Machine Learning

    Skills you'll gain: Data Preprocessing, Model Evaluation, Applied Machine Learning, Big Data, Google Cloud Platform, Data Manipulation, Predictive Analytics, Machine Learning, Exploratory Data Analysis, SQL

    Beginner · Project · Less Than 2 Hours

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

  • Introduction to D3.js: Coursera
  • Machine Learning with PyTorch and Scikit-Learn: Packt
  • Random Models, Nested and Split-plot Designs: Arizona State University
  • Simple Linear Regression for the Absolute Beginner: Coursera
  • Building AI Agents: Automation and NLP Foundations: Coursera
  • Digging Deeper into Audience Reports in Google Analytics: Coursera
  • Interpretable Machine Learning: Duke University
  • Master in Microsoft Power BI Desktop and Service: Packt
  • Connect an App to a Cloud SQL for PostgreSQL Instance: Google Cloud
  • Practical Methodology and Ethics in AI: Johns Hopkins University

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