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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


  • S

    Scrimba

    Vibe Coding with Cursor AI

    Skills you'll gain: Vibe coding, Model Context Protocol, Context Management, Context Engineering, AI Workflows, Integrated Development Environments, AI Integrations, Software Installation, Agentic Workflows, Code Review, System Configuration, Debugging, Generative AI Agents, Web Development Tools, Software Development, User Interface (UI), Web Development

    ★ 4.4 (169) · Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Basic Image Classification with TensorFlow

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Model Training, Tensorflow, Image Analysis, Artificial Neural Networks, Applied Machine Learning, Network Model, Deep Learning, Computer Vision, Machine Learning, Network Architecture

    ★ 4.6 (848) · Beginner · Guided Project · Less Than 2 Hours

  • D

    Duke University

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Programming, Statistical Analysis, Probability & Statistics, Regression Analysis, Data Analysis, R Programming, Statistical Software, Probability, Data-Driven Decision-Making, Predictive Modeling, Model Evaluation, Probability Distribution

    ★ 3.8 (798) · Intermediate · Course · 1 - 3 Months

  • S

    Stanford University

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Mathematical Theory & Analysis, Analysis, Computer Science, Probability & Statistics, Probability, Design Strategies

    ★ 4.8 (5.3K) · Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Gen AI Foundational Models for NLP & Language Understanding

    Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Generative Model Architectures, Transfer Learning, Model Optimization, Responsible AI, Data Ethics, Text Mining, Model Training, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Feature Engineering

    ★ 4.4 (199) · Intermediate · Course · 1 - 4 Weeks

  • N

    National Taiwan University

    人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)

    Skills you'll gain: Reinforcement Learning, Theoretical Computer Science, Machine Learning Methods, Applied Machine Learning, Classification Algorithms, Model Evaluation, Statistical Machine Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Decision Tree Learning, Algorithms, AI literacy, Network Architecture

    ★ 4.6 (62) · Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Breast Cancer Prediction Using Machine Learning

    Skills you'll gain: Data Cleansing, Logistic Regression, Data Preprocessing, Applied Machine Learning, Data Import/Export, Data Mining, Python Programming, Data Access, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Classification Algorithms, Machine Learning, Supervised Learning

    ★ 4.2 (57) · Intermediate · Guided Project · Less Than 2 Hours

  • E

    Eindhoven University of Technology

    Improving Your Statistical Questions

    Skills you'll gain: Science and Research, Scientific Methods, Research Design, Research, Quantitative Research, Research Methodologies, General Science and Research, Statistical Reporting, Sample Size Determination, Simulations, Data Sharing, Statistical Inference, Statistical Methods, Statistical Analysis, Statistical Hypothesis Testing, Data Ethics, Computational Thinking, Data Synthesis, Probability & Statistics

    ★ 4.9 (112) · Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Recommendation Systems on Google Cloud

    Skills you'll gain: Reinforcement Learning, Google Cloud Platform, AI Personalization, Machine Learning, Machine Learning Algorithms, Deep Learning, Applied Machine Learning, Unsupervised Learning, Artificial Neural Networks, Embeddings

    ★ 4.5 (484) · Advanced · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Text Marketing Analytics

    Skills you'll gain: Network Analysis, Unsupervised Learning, Social Network Analysis, Supervised Learning, Applied Machine Learning, Network Model, Unstructured Data, Marketing Analytics, Social Media Analytics, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning, Tensorflow, Model Training, Machine Learning Algorithms, Text Mining, Data Analysis, Model Evaluation, Transfer Learning, Statistical Methods

    ★ 3.2 (16) · Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Tesla Stock Price Prediction using Facebook Prophet

    Skills you'll gain: Plotly, Technical Analysis, Time Series Analysis and Forecasting, Predictive Modeling, Market Data, Financial Forecasting, Model Evaluation, Forecasting, Applied Machine Learning, Trend Analysis, Financial Analysis, Data Visualization, Statistical Visualization, Google Sheets, Interactive Data Visualization, Equities, Machine Learning, Data Import/Export

    ★ 4.2 (146) · Beginner · Guided Project · Less Than 2 Hours

  • M

    Macquarie University

    Excel Skills for Business: Essentials

    Skills you'll gain: Excel Formulas, Microsoft Excel, Spreadsheet Software, Productivity Software, Data Analysis Software, Business Analytics, Analytical Skills

    ★ 4.9 (51K) · Beginner · Course · 1 - 3 Months

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

  • Vibe Coding with Cursor AI: Scrimba
  • Basic Image Classification with TensorFlow: Coursera
  • Bayesian Statistics: Duke University
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • Gen AI Foundational Models for NLP & Language Understanding: IBM
  • 人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory): National Taiwan University
  • Breast Cancer Prediction Using Machine Learning: Coursera
  • Improving Your Statistical Questions: Eindhoven University of Technology
  • Recommendation Systems on Google Cloud: Google Cloud
  • Text Marketing Analytics: University of Colorado Boulder

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