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  • Math For Data Science

Math for Data Science Courses

Math for Data Science courses can help you learn statistical analysis, linear algebra, probability theory, and calculus. You can build skills in data visualization, hypothesis testing, and regression analysis, which are crucial for interpreting data effectively. Many courses introduce tools like Python, R, and SQL, along with libraries such as NumPy and Pandas, to help you apply these mathematical concepts to real datasets and enhance your analytical capabilities.


Popular Math for Data Science Courses and Certifications


  • Status: New
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    Coursera

    Analyze Jira: Find Your Open Work

    Skills you'll gain: Prioritization, Jira (Software), Organizational Skills, Decision Making, Backlogs, Project Management Software, Timelines, Dashboard, Query Languages, Project Management, Resource Management

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Analyze Marketing Data, Boost Conversions

    Skills you'll gain: Marketing Analytics, Web Analytics, Content Performance Analysis, Marketing Effectiveness, Marketing Automation, Data Analysis, Customer Insights, Data-Driven Decision-Making, Statistical Analysis, Web Analytics and SEO, Model Evaluation, Anomaly Detection, Continuous Monitoring, Quality Assessment, Verification And Validation

    Beginner · Course · 1 - 4 Weeks

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    LearnQuest

    Advanced Sales Prospecting and Lead Generation

    Skills you'll gain: B2B Sales, Customer Engagement, Marketing Automation, LinkedIn, Key Performance Indicators (KPIs), Digital Media Strategy, AI Personalization, Personalized Service, Content Creation, Automation, Video Production

    Beginner · Specialization · 1 - 3 Months

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    Coursera

    Deploy Resilient AI Microservices with LangChain

    Skills you'll gain: Containerization, LangChain, Microservices, Application Deployment, Cloud Deployment, Docker (Software), Kubernetes, LLM Application, Large Language Modeling, MLOps (Machine Learning Operations), Prometheus (Software), API Design, Scalability, System Monitoring, Performance Testing, Grafana

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Getting Started with Git and GitHub

    Skills you'll gain: Git (Version Control System), GitHub, Version Control, Collaborative Software, Web Applications, Open Source Technology, Command-Line Interface, DevOps

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.9K reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Secure AI Model Deployments & Lifecycles

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), AI Security, Cloud Deployment, DevOps, CI/CD, Artificial Intelligence and Machine Learning (AI/ML), System Monitoring, Software Versioning, Data-Driven Decision-Making

    Intermediate · Course · 1 - 4 Weeks

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    Microsoft

    Core generative models and techniques

    Skills you'll gain: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Microsoft Azure, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Model Evaluation, Tensorflow, Data Pipelines, Prototyping, Image Quality, Time Series Analysis and Forecasting, Forecasting

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Learn C# by Building Applications

    Skills you'll gain: C# (Programming Language), Object Oriented Programming (OOP), Web Scraping, Programming Principles, Microsoft Visual Studio, .NET Framework, Data Structures, Software Design Patterns, File I/O, Application Development, Computational Logic, Algorithms, Hypertext Markup Language (HTML), Unit Testing, Debugging

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Coursera

    Secure Mobile AI Models Against Attacks

    Skills you'll gain: AI Security, Mobile Security, Model Deployment, Mobile Development, Continuous Monitoring, Application Security, Threat Modeling, Apple iOS, Security Requirements Analysis, System Monitoring, Encryption, Threat Management, Security Management, Information Privacy, Program Implementation

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Generative AI Foundations in Python

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Responsible AI, Model Deployment, Large Language Modeling, Generative Adversarial Networks (GANs), Natural Language Processing, Embeddings, Transfer Learning, Artificial Intelligence, Python Programming, Machine Learning, Deep Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Google

    Troubleshooting and Debugging Techniques

    Skills you'll gain: Debugging, Technical Communication, Network Troubleshooting, Performance Tuning, Problem Management, Technical Documentation, Technical Support, System Monitoring, Incident Management, Application Performance Management, Continuous Integration, Continuous Monitoring, OS Process Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Strategize, Roadmap, and Mitigate AI Projects

    Skills you'll gain: Applied Machine Learning, Case Studies, Fraud detection, Project Risk Management, Project Planning, Business Ethics, Ethical Standards And Conduct, Law, Regulation, and Compliance, Scalability, Content Strategy, Quality Assessment, Keyword Research, Search Engine Optimization, Content Creation

    Intermediate · Course · 1 - 4 Weeks

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

  • Analyze Jira: Find Your Open Work: Coursera
  • Analyze Marketing Data, Boost Conversions: Coursera
  • Advanced Sales Prospecting and Lead Generation: LearnQuest
  • Deploy Resilient AI Microservices with LangChain: Coursera
  • Getting Started with Git and GitHub: IBM
  • Secure AI Model Deployments & Lifecycles: Coursera
  • Core generative models and techniques: Microsoft
  • Learn C# by Building Applications: Packt
  • Secure Mobile AI Models Against Attacks: Coursera
  • Generative AI Foundations in Python: Packt

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