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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


  • G

    Google Cloud

    了解 Google Cloud 智能体

    Skills you'll gain: Google Gemini, Google Cloud Platform, Gemini, Generative AI Agents, AI Workflows, AI Orchestration, Agentic Workflows, Agentic systems, AI Security, Retrieval-Augmented Generation, Large Language Modeling, LLM Application, AI Integrations, Generative AI, Cloud Deployment, Intranet, Enterprise Security

    Beginner · Course · 1 - 3 Months

  • S

    Salesforce

    Sales and CRM Overview

    Skills you'll gain: Sales Process, Sales, Salesforce, Customer Relationship Management (CRM) Software, Sales Operations, Customer Relationship Management, General Sales Practices, B2B Sales, Data Management, Customer Data Management, Databases, Data Quality, Data Cleansing, Business-To-Consumer

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • B

    Board Infinity

    Java FullStack Developer

    Skills you'll gain: Angular, HTML and CSS, Data Structures, Spring Boot, Eclipse (Software), Restful API, Java Programming, JavaScript Frameworks, Object Oriented Programming (OOP), Model View Controller, Software Development Tools, Hypertext Markup Language (HTML), Java, Computer Programming Tools, Application Frameworks, Front-End Web Development, Spring Framework, Object Oriented Design, Cascading Style Sheets (CSS), Javascript

    4.4
    Rating, 4.4 out of 5 stars
    ·
    865 reviews

    Intermediate · Specialization · 1 - 3 Months

  • G

    Google Cloud

    Infrastructure d'IA : types de déploiements

    Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Model Optimization, Kubernetes, Infrastructure As A Service (IaaS), Cloud Deployment, Cloud Management, Cloud-Native Computing, Model Deployment, Distributed Computing, Network Performance Management, Model Training, Performance Tuning, Containerization, Computer Hardware

    Intermediate · Course · 1 - 3 Months

  • U

    University of Michigan

    Leading Teams

    Skills you'll gain: Team Building, Teamwork, Team Management, Team Leadership, Team Performance Management, Team Collaboration, Conflict Management, Trustworthiness, Team Motivation, Collaboration, Rapport Building, Relationship Building, Drive Engagement, Performance Management, Organizational Structure, Knowledge Transfer, Leadership, Innovation, People Development, Industrial and Organizational Psychology

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Infraestructura de IA: tipos de implementación

    Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Cloud Deployment, Infrastructure As A Service (IaaS), Kubernetes, Model Deployment, Virtual Machines, Containerization, Network Performance Management, Distributed Computing, Model Training, Performance Tuning, Model Optimization, System Configuration, Network Administration, Capacity Management, Computer Hardware

    Intermediate · Course · 1 - 3 Months

  • N

    National Taiwan University

    Operations Research (1): Models and Applications

    Skills you'll gain: Operations Research, Mathematical Modeling, Applied Mathematics, Business Modeling, Industrial Engineering, Model Optimization, Operations Management, Business Analytics, Inventory Management System, Case Studies, Microsoft Excel, Scheduling, Linear Algebra, Portfolio Management, Facility Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    585 reviews

    Beginner · Course · 1 - 3 Months

  • L

    LearnQuest

    No Code AI Agents: Build Workflow & Calendar Automations

    Skills you'll gain: Make.com, AI Workflows, Business Workflow Analysis, Workflow Management, No-Code Development, Email Automation, Agentic Workflows, AI Security, Decision Intelligence, AI Orchestration, Process Analysis, Process Mapping, Generative AI Agents, Process Design, AI Integrations, Microsoft Power Automate/Flow, Productivity Software, Calendar Management, Responsible AI, Development Testing

    Beginner · Course · 1 - 4 Weeks

  • E

    Edge Impulse

    Computer Vision with Embedded Machine Learning

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Deep Learning, Model Deployment, Data Ethics, Responsible AI, Model Training, Machine Learning, Computer Programming, Classification Algorithms, Model Evaluation, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    165 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    에이전트 전략: 발견, 설계, 프로토타입 제작

    Skills you'll gain: Google Gemini, Agentic Workflows, AI Workflows, AI Enablement, Journey Mapping, Business Process Automation, Generative AI Agents, AI Product Strategy, Strategic Prioritization, Prioritization, Vibe coding, Value Engineering, Agentic systems, Gemini, Business Process Reengineering, Retail Store Operations, No-Code Development, Retail Sales, Prototyping, Customer experience improvement

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    AI 基礎架構:部署類型

    Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Cloud Deployment, Kubernetes, Model Deployment, Infrastructure As A Service (IaaS), Cloud-Native Computing, Application Deployment, Network Performance Management, Infrastructure Architecture, Model Optimization, Performance Tuning, Containerization, Network Planning And Design, Distributed Computing, Network Infrastructure

    Intermediate · Course · 1 - 3 Months

  • Status: Job Ready
    Job Ready
    D

    Dartmouth College

    Master of Engineering in Computer Engineering

    Skills you'll gain: Natural Language Processing, Field-Programmable Gate Array (FPGA), Technical Communication, Embedded Systems, Digital Signal Processing, Embedded Software, Distributed Computing, Machine Learning Algorithms, Recurrent Neural Networks (RNNs), Image Analysis, Deep Learning, Machine Learning Methods, Engineering Design Process, Experimentation, Convolutional Neural Networks, Hardware Design, Text Mining, Student Support and Services, Computer Engineering, Systems Analysis

    Earn a degree

    Degree · 1 - 4 Years

1…223224225…834

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

  • 了解 Google Cloud 智能体: Google Cloud
  • Sales and CRM Overview: Salesforce
  • Java FullStack Developer: Board Infinity
  • Infrastructure d'IA : types de déploiements: Google Cloud
  • Leading Teams: University of Michigan
  • Infraestructura de IA: tipos de implementación: Google Cloud
  • Operations Research (1): Models and Applications: National Taiwan University
  • No Code AI Agents: Build Workflow & Calendar Automations: LearnQuest
  • Computer Vision with Embedded Machine Learning: Edge Impulse
  • 에이전트 전략: 발견, 설계, 프로토타입 제작: Google Cloud

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