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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
    U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Artificial Intelligence, Markov Model, Algorithms, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Intermediate · Course · 1 - 3 Months

  • E

    EIT Digital

    Quantitative Model Checking

    Skills you'll gain: Computational Logic, Markov Model, Verification And Validation, Theoretical Computer Science, Mathematical Modeling, Systems Analysis, Probability, Algorithms, Graph Theory, Probability Distribution

    4.3
    Rating, 4.3 out of 5 stars
    ·
    54 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Managing Machine Learning Projects with Google Cloud

    Skills you'll gain: Data Ethics, Google Cloud Platform, Responsible AI, Machine Learning, Data Strategy, Data Governance, Innovation, AI Product Strategy, Feasibility Studies, Business Analysis, Business Priorities, Project Management Life Cycle

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free
    Free
    A

    Amazon Web Services

    Increasing Application Security: Bedrock Guardrails & GenAI

    Skills you'll gain: Amazon Bedrock, Prompt Engineering, Generative AI, Computer Security, Secure Coding, Security Engineering, Hardening, Application Security, Cyber Engineering, Responsible AI, Security Testing, Threat Modeling, Security Awareness, Security Controls

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Predictive Modeling, Machine Learning, Statistical Modeling, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Feature Engineering, Statistical Analysis, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    ·
    811 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Responsible Generative AI

    Skills you'll gain: Responsible AI, Generative AI, Governance, Data Governance, Data Management, Compliance Management, AI Product Strategy, Consumer Behaviour, Business Risk Management, Business Operations, Data Ethics, Risking, Artificial Intelligence, Risk Analysis, Automation, Stakeholder Management, Human Resources, Workforce Management, Leadership and Management, Risk Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    290 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Power BI for Beginners: Interactive Dashboard Fundamentals

    Skills you'll gain: Key Performance Indicators (KPIs), Power BI, Dashboard, Data Visualization, Interactive Data Visualization, Data Storytelling, Data Presentation, Business Metrics, Performance Analysis, Data Visualization Software, Data Import/Export, Business Intelligence, Regional Sales, Sales Presentation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    41 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Inferential Statistical Analysis with Python

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    930 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Statistical Modeling, Artificial Neural Networks, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning, Regression Analysis, Data Manipulation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    Edge Impulse

    Computer Vision with Embedded Machine Learning

    Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Embedded Systems, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Embedded Software, Deep Learning, Data Ethics, Machine Learning, Computer Programming, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    158 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of London

    Doing Economics: Measuring Climate Change

    Skills you'll gain: Microsoft Excel, Environmental Policy, Data Analysis, Data Visualization, Descriptive Statistics, Climate Change Programs, Correlation Analysis, Policy Analysis, Scatter Plots, Statistics, Environmental Science, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    52 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Breast Cancer Prediction Using Machine Learning

    Skills you'll gain: Data Cleansing, Data Processing, Pandas (Python Package), Applied Machine Learning, Data Import/Export, Classification And Regression Tree (CART), Data Mining, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Machine Learning, Supervised Learning, Machine Learning Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    53 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Fundamentals of Reinforcement Learning: University of Alberta
  • Quantitative Model Checking: EIT Digital
  • Managing Machine Learning Projects with Google Cloud: Google Cloud
  • Increasing Application Security: Bedrock Guardrails & GenAI: Amazon Web Services
  • Supervised Machine Learning: Regression: IBM
  • Responsible Generative AI: University of Michigan
  • Power BI for Beginners: Interactive Dashboard Fundamentals: Coursera
  • Inferential Statistical Analysis with Python: University of Michigan
  • Introduction to Neural Networks and PyTorch: IBM
  • Computer Vision with Embedded Machine Learning: Edge Impulse

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