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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


  • G

    Google Cloud

    Orchestrating a TFX Pipeline with Airflow

    Skills you'll gain: Apache Airflow, Tensorflow, MLOps (Machine Learning Operations), Google Cloud Platform, Data Pipelines, Machine Learning Methods, Cloud Computing, Machine Learning

    1.3
    Rating, 1.3 out of 5 stars
    ·
    7 reviews

    Beginner · Project · Less Than 2 Hours

  • G

    Google Cloud

    Machine Learning in the Enterprise - 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Workflow Management, Data Governance, Google Cloud Platform, Data Pipelines, Applied Machine Learning, Tensorflow, Data Processing, Machine Learning, Feature Engineering, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    TFX on Google Cloud Vertex Pipelines

    Skills you'll gain: Google Cloud Platform, Tensorflow, Data Pipelines, MLOps (Machine Learning Operations), Kubernetes, Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • G

    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文

    Skills you'll gain: Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Predictive Modeling, Google Cloud Platform, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Quality

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - 简体中文

    Skills you'll gain: Data Ethics, Responsible AI, Data Modeling, Data Analysis, MLOps (Machine Learning Operations), Artificial Intelligence, Applied Machine Learning, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Responsible AI for Developers: Fairness & Bias - 한국어

    Skills you'll gain: Responsible AI, Open Source Technology, Data Ethics, Google Cloud Platform, Artificial Intelligence, Machine Learning, Continuous Monitoring, Data Validation

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Michigan

    투자 기술의 혁신: AI

    Skills you'll gain: FinTech, Wealth Management, Financial Trading, Investment Management, Asset Management, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Artificial Neural Networks, Portfolio Management, Machine Learning, Financial Analysis, Predictive Analytics

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 日本語版

    Skills you'll gain: Generative AI, Prompt Engineering, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Big Data, Cloud Development, Machine Learning, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Generate Personalized Email Content with BigQuery Continuous Queries and Gemini

    Skills you'll gain: Google Gemini, Email Automation, Google Cloud Platform, AI Personalization, Identity and Access Management, Authorization (Computing), User Accounts, Test Data, Large Language Modeling, Data Maintenance, Query Languages, SQL, Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • Status: New
    New
    G

    Google Cloud

    프로덕션 머신러닝 시스템

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Applied Machine Learning, Data Validation, Machine Learning, Systems Design, Systems Architecture, Distributed Computing, Performance Tuning, Data Pipelines, Scalability, Data Processing, Hybrid Cloud Computing, Debugging

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Maryland, College Park

    Digital Marketing 2

    Skills you'll gain: Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Analytics, Big Data, Google Analytics, Digital Marketing, Search Engine Marketing, Paid media, Web Analytics, Web Analytics and SEO, Online Advertising, Digital Advertising, Marketing Effectiveness, A/B Testing, Applied Machine Learning, Marketing Automation, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    BigQuery Machine Learning für Inferenzen nutzen

    Skills you'll gain: Big Data, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Google Cloud Platform, Machine Learning

    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

  • Orchestrating a TFX Pipeline with Airflow: Google Cloud
  • Machine Learning in the Enterprise - 日本語版: Google Cloud
  • TFX on Google Cloud Vertex Pipelines: Google Cloud
  • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文: Google Cloud
  • Responsible AI for Developers: Interpretability & Transparency - 简体中文: Google Cloud
  • Responsible AI for Developers: Fairness & Bias - 한국어: Google Cloud
  • 투자 기술의 혁신: AI: University of Michigan
  • Introduction to AI and Machine Learning on GC - 日本語版: Google Cloud
  • Generate Personalized Email Content with BigQuery Continuous Queries and Gemini: Google Cloud
  • 프로덕션 머신러닝 시스템: Google Cloud

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