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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


  • B

    Board Infinity

    Machine Learning Operations (MLOps)

    Skills you'll gain: Model Deployment, AWS SageMaker, MLOps (Machine Learning Operations), Serverless Computing, Google Cloud Platform, Cloud Deployment, AI Integrations, Docker (Software), Cloud Platforms, Cloud Computing, Containerization, Application Deployment, Amazon Web Services, Restful API, DevOps, CI/CD, Microsoft Azure, Devops Tools, Continuous Integration, API Design

    Beginner · Specialization · 1 - 3 Months

  • C

    CertNexus

    Turn Ethical Frameworks into Actionable Steps

    Skills you'll gain: Data Ethics, Law, Regulation, and Compliance, Business Ethics, Strategic Thinking, Ethical Standards And Conduct, Regulatory Requirements, Regulatory Compliance, Analytical Skills, Responsible AI, Regulation and Legal Compliance, Technology Strategies, Compliance Management, Decision Making, Business Analysis, Business Strategy, Conflict Management, Information Privacy, Accountability

    ★ 4.7 (157) · Beginner · Course · 1 - 3 Months

  • V

    Vanderbilt University

    AI Agent Skills for Leaders

    Skills you'll gain: Generative AI Agents, AI Enablement, AI Orchestration, AI Workflows, Agentic Workflows, Dashboard, Dashboard Creation, Claude Code, Decision Intelligence, AI Product Strategy, Anthropic Claude, AI Personalization, Agentic systems, Generative AI, ChatGPT, Prompt Engineering, Multimodal Prompts, AI Integrations, Prompt Engineering Tools, Prompt Patterns

    Beginner · Course · 1 - 4 Weeks

  • L

    LearnQuest

    Fundamentals of Machine Learning for Supply Chain

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Preprocessing, Operations Research, NumPy, Data Manipulation, Supply Chain, Supply Chain Management, Data Transformation, Pandas (Python Package), Supply Chain Planning, Data Processing, Data Analysis, Data Cleansing, Data Science, Programming Principles, Python Programming, Pivot Tables And Charts, Applied Machine Learning, Plot (Graphics)

    ★ 3.7 (41) · Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Plot (Graphics), Seaborn, Matplotlib, Statistical Visualization, Cloud Computing, Jupyter, Dimensionality Reduction, Data Science, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Numerical Analysis, Python Programming, Data Manipulation

    ★ 4.6 (298) · Intermediate · Guided Project · Less Than 2 Hours

  • S

    Stanford University

    Evaluations of AI Applications in Healthcare

    Skills you'll gain: Healthcare Ethics, Data Ethics, Responsible AI, Clinical Research Ethics, Health Technology, Healthcare Industry Knowledge, AI Integrations, Clinical Assessment, Health Equity, Health Disparities, Regulatory Compliance, Application Deployment, Continuous Monitoring, Decision Support Systems, Predictive Modeling

    ★ 4.6 (337) · Beginner · Course · 1 - 3 Months

  • R

    Rice University

    Linear Regression for Business Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Inference, Business Analytics, Microsoft Excel, Model Evaluation, Estimation, Data Analysis, Analytics, Data Transformation

    ★ 4.8 (1.4K) · Mixed · Course · 1 - 4 Weeks

  • I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)

    ★ 4.8 (462) · Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Data Cleansing, Probability & Statistics

    ★ 4.7 (1.8K) · Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud

    Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Cloud Deployment, Google Cloud Platform, Data Pipelines, Model Training, Model Optimization, Deep Learning, Data Preprocessing, Artificial Neural Networks, Data Processing, Machine Learning, Python Programming, Data Transformation, Application Programming Interface (API)

    ★ 4.4 (2.8K) · Intermediate · Course · 1 - 3 Months

  • U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Applied Machine Learning, Probability Distribution

    ★ 4.8 (1.3K) · Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Advancing Your Career in Computer Vision Engineering

    Skills you'll gain: Model Optimization, Fine-tuning, Model Deployment, Data Preprocessing, Model Training, Model Evaluation, Technical Communication, Computer Vision, Image Analysis, Application Deployment, Technical Documentation, Technical Writing, Professional Development, Professional Networking, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Storytelling

    Intermediate · Course · 1 - 4 Weeks

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

  • Machine Learning Operations (MLOps): Board Infinity
  • Turn Ethical Frameworks into Actionable Steps: CertNexus
  • AI Agent Skills for Leaders: Vanderbilt University
  • Fundamentals of Machine Learning for Supply Chain: LearnQuest
  • Principal Component Analysis with NumPy: Coursera
  • Evaluations of AI Applications in Healthcare: Stanford University
  • Linear Regression for Business Statistics: Rice University
  • Supervised Machine Learning: Classification: IBM
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud

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