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  • Technology
    Advanced

    Data Management Capstone Project

    In this capstone course, you’ll demonstrate your ability to solve problems relevant to data-related roles, which you can then showcase in your portfolio and share with prospective employers. You will apply the skills you’ve learned throughout this data management program with this hands-on culminating project. The project provides you the opportunity to solidify your proficiency when working with various aspects of data and integrate them into a single project. You’ll apply many industry-specific tools and industry-standard best practices to a real-world-inspired scenario. As part of this process, you utilize relational databases and SQL queries. You’ll also manipulate data using spreadsheets and BI tools to create visualizations and a dashboard to readily communicate your data insights. We recommend that you complete all the previous courses in this Professional Certificate before starting this course.

    1260 min
    View details: Data Management Capstone Project
  • Technology
    Beginner

    Machine Learning and its Applications

    This course provides a practical introduction to machine learning techniques for data analysis in MATLAB, focusing on widely used methods for real-world technical applications. You will begin by exploring the core concepts behind machine learning, including model workflows, data preparation, and the factors that affect model performance. The course then focuses on two popular techniques—support vector machines and artificial neural networks—as well as MATLAB apps that make model building and evaluation more accessible. Using practical examples, you will prepare data, build machine learning workflows, and apply classification and regression methods to science and engineering problems. By the end of the course, you will be able to use MATLAB to develop, test, and evaluate predictive models for real-world applications. In partnership with MathWorks, enrolled learners receive access to MATLAB for the duration of the course.

    1200 min
    View details: Machine Learning and its Applications
  • Business
    Beginner

    Create Customer Personas in Canva

    By the end of this project you will have created a template for creating customer personas in Canva. After reviewing the Canva toolbar you'll create a customer persona template. Based on CRM data, social media information, and purchasing pattern information, customer personas will facilitate understanding of the ideal customer for your organization. They can then be leveraged to create effective marketing strategies and plans. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

    120 min
    View details: Create Customer Personas in Canva
  • Technology
    Intermediate

    离散优化建模基础篇 Basic Modeling for Discrete Optimization

    优化问题是一种常见的决策问题,它在我们的社会中很常见。它的应用可以从数独问题的解决涵盖到婚礼的座次安排。同样的技术可以用于航班与机组成员的安排,钢铁生产的调节,和钢铁从矿区到港口的调度问题。在生产中,人力资源与生产材料的合理决策可以使企业获得成千上万的利润提升。类似的问题也存在于我们的日常生活中,它们包括决定包裹的运输路径,调整学校课程时间,和传输能源到千家万户。尽管这些问题很基础,不过以一般本科教育的知识来解决这些问题都会十分困难。 这个课程是设计给所有对优化问题应用的各个方面感兴趣的同学。你将学习到一种全新的方法来思考如何解决这些有挑战性的问题。这种方法只需用先进的高级建模语言把问题在表述清楚,然后让约束求解器完成剩下的工作。它可以让你接触到业界问题求解的技术,而这在过去几十年中有上百个博士研究者不断将其完善优化。通过利用这种前沿的科技,在过去看起来不可思议的问题突然间变得易如反掌。

    View details: 离散优化建模基础篇 Basic Modeling for Discrete Optimization
  • Business
    All levels

    Conversations That Inspire: Coaching Learning, Leadership and Change

    Coaching can inspire and motivate people to learn, change, and be effective leaders, among other roles in life. Although most attempts are “coaching for compliance” (coaching someone to your wishes or expectations), decades of behavioral and neuroscience research show us that “coaching with compassion” (coaching someone to their dreams and desires) is more effective.

    600 min
    View details: Conversations That Inspire: Coaching Learning, Leadership and Change
  • Technology
    Beginner

    생성형 AI: 환경 살펴보기

    Gen AI: Navigate the Landscape is the third course of the Gen AI Leader learning path. Gen AI is changing how we work and interact with the world around us. But as a leader, how can you harness its power to drive real business outcomes? In this course, you explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the factors to consider when selecting a solution.

    View details: 생성형 AI: 환경 살펴보기
  • Business
    Advanced

    Project - Monitoring and Control

    This is the Second course of “Project – Monitoring and Control” specialization program. The course, titled "Project planning and execution management," is designed to provide a thorough exploration of Quality and EHS management, Procurement & Subcontract management, Communication & Stakeholder Management, Project Monitoring & Control. This course covers key areas essential for successful project delivery. Leaners will delve into the principles of Quality Management, focusing on processes, standards, and methodologies to ensure the delivery of high-quality project outcomes. You will gain insights into procurement planning, sourcing, and supplier management. The Leaners will explore strategies for managing stakeholder expectations, resolving conflicts, and maintaining transparent and efficient communication channels throughout the project lifecycle. They will also learn the tools and techniques to track project progress, identify deviations, and implement corrective actions. Finally you will learn the Key performance indicators, earned value analysis, and risk management strategies will be explored to ensure that projects stay on course and within budget. The course concludes with case studies and practical applications applying to the learned concepts. The leaners are assessed through quizzes and assignments. Upon successful completion, participants receive certification, validating their comprehensive understanding of project monitoring and control.

    View details: Project - Monitoring and Control
  • Business
    Intermediate

    Money, Risk, and Ethics: The Psychology of Decision-Making

    This course examines how ethical decision-making unfolds at the intersection of law and psychology. Drawing on real-life legal casesand a host of classic psychological experiments, we explore how cognitive biases such as loss aversion, status quo bias, and framing effects can complicate even the most straightforward moral choices. You’ll explore how our natural tendency to focus on what is most salient in any given situation can skew risk assessments, and how motivated reasoning and self-serving biases may subtly warp our judgments, whether in the boardroom, the courtroom, or everyday life. Finally, we round out our investigation with practical tools—like decision matrices—that empower you to break down complex decisions into their component parts, ensuring that your choices not only reflect your core values but also withstand rigorous, objective scrutiny.

    View details: Money, Risk, and Ethics: The Psychology of Decision-Making
  • Technology
    Intermediate

    Creatividad, diseño e innovación: Técnicas y herramientas - Proyecto Final

    El estudiante deberá identificar un problema complejo, analizar las oportunidades disponibles y utilizar las herramientas de design thinking, elaboración experiencial de prototipos y una estrategia de innovación para desarrollar soluciones creativas. Dichas soluciones se evaluarán a partir de métricas establecidas para juzgar su idoneidad. El proceso a seguir para ir del problema a la solución es el siguiente: a. Encontrar una situación que se beneficiaría con soluciones innovadoras. b. A partir de lo aprendido en los cursos previos, desarrollar un proceso para ir de la búsqueda de problemas dentro del contexto estudiado a la implementación de la solución final. c. Evaluar las ideas generadas a partir de herramientas y procedimientos específicos. d. Reflexionar críticamente sobre el proceso. El proyecto terminal constituye un ejemplo de aprendizaje basado en proyectos en el que el estudiante debe integrar la base de conocimiento y habilidades desarrolladas en los cursos previos de la especialización para resolver un problema específico. Así, pondrá en juego el manejo de diversas herramientas y técnicas que aprendió a lo largo del programa.

    View details: Creatividad, diseño e innovación: Técnicas y herramientas - Proyecto Final
  • Business
    Beginner

    Data Validation in Excel for Beginners

    This Excel course offers a comprehensive journey into mastering data management, analysis, and visualization. Start by learning foundational skills like Goal Seek, creating drop-down lists, and applying data validation. Explore advanced features such as SUMIFS, Pivot Tables, and Conditional Formatting to enhance data insights. Gain practical expertise in locking cells, calculating percentages and averages, and highlighting duplicates to ensure data accuracy. Learn to optimize page setup, manage page breaks, and create professional reports. Build stunning visualizations with charts, track progress with templates, and create Gantt charts for effective project management. By the end of this course, you will: - Master foundational Excel skills like Goal Seek and data validation. - Analyze data using SUMIFS, Pivot Tables, and Conditional Formatting. - Create visualizations, Gantt charts, and track progress effectively. - Optimize reports with page setup, page breaks, and error-free data handling. Ideal for beginners and professionals looking to unlock Excel’s full potential for productivity and data-driven decisions.

    View details: Data Validation in Excel for Beginners
  • Technology
    Beginner

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. Our two sister courses teach the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. This first course of the two would focus more on mathematical tools, and the other course would focus more on algorithmic tools. [機器學習旨在讓電腦能由資料中累積的經驗來自我進步。我們的兩項姊妹課程將介紹各領域中的機器學習使用者都應該知道的基礎演算法、理論及實務工具。本課程將較為著重數學類的工具,而另一課程將較為著重方法類的工具。]

    View details: 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations
  • Technology
    Intermediate

    Cloud Spanner について

    このコースでは、Cloud Spanner について解説します。Cloud Spanner の基本的な知識や、他のデータベース プロダクトとの違いを学習するほか、大規模なリレーショナル データベースのニーズに対応するために Cloud Spanner を使用すべきタイミングとその方法についても学びます。さらに、Google Cloud の各種ツールを使用して Spanner データベースを作成し管理する方法、Spanner の分散データベース モデルを考慮してリレーショナルなスキーマを最適化する方法、Spanner API を使用して Spanner データベースを操作する方法、Spanner とアプリケーションを統合する方法、他の Google ツールを使用して Spanner データベースとデータを管理する方法についても紹介します。

    View details: Cloud Spanner について