Introducción al Emprendimiento Contexto y Perfil Emprendedor
Este curso te invita a explorar el emocionante mundo del emprendimiento y adquirir los conocimientos fundamentales necesarios para identificar y desarrollar tu perfil emprendedor.
El emprendimiento es un fenómeno económico y social en constante crecimiento que impulsa la innovación, el crecimiento económico y la generación de empleo. A lo largo del curso, analizaremos en detalle cómo el emprendimiento ha transformado el panorama empresarial actual y su impacto en la sociedad.
Comenzaremos con una introducción al concepto de emprendimiento y su importancia en el contexto empresarial actual. Exploraremos las diferentes formas de emprendimiento, desde startups tecnológicas hasta emprendimientos sociales y empresas tradicionales.
Una parte fundamental del curso se centra en el perfil emprendedor. Descubrirás las características y habilidades clave que definen a un emprendedor exitoso. Analizaremos el pensamiento creativo y la capacidad de innovación, la resiliencia frente a los desafíos y la toma de decisiones estratégicas.
Al finalizar este curso de nivel básico, estarás equipado con los conocimientos necesarios para comprender el contexto empresarial actual y las habilidades fundamentales del perfil emprendedor así como las principales modelos de emprendimiento.
Ya sea que estés interesado en iniciar tu propio negocio, trabajar en una startup o simplemente comprender mejor el mundo del emprendimiento, este curso te brindará una base sólida para dar tus primeros pasos en el emocionante viaje del emprendimiento.
Crea data lakes y almacenes de datos en Google Cloud
Si bien los enfoques tradicionales de usar data lakes y almacenes de datos pueden ser eficaces, tienen deficiencias, en particular en entornos empresariales grandes. En este curso, se presenta el concepto del data lakehouse y los productos de Google Cloud que se usan para crear uno. Una arquitectura de lakehouse usa fuentes de datos de estándares abiertos y combina las mejores funciones de los data lakes y los almacenes de datos, lo que aborda muchas de sus deficiencias.
This hands-on course empowers learners to design, implement, and optimize data analytics solutions using Microsoft Azure Data Lake. Through a step-by-step, modular framework, participants will explore the fundamentals of scalable data storage, master U-SQL scripting for data transformation, and gain proficiency in job submission, performance tuning, and cost management using tools like Azure CLI, PowerShell, and Visual Studio.
Learners will analyze real-world data scenarios, construct dynamic queries, deploy reusable views and functions, and evaluate job performance through diagnostics, heat maps, and vertex execution views. The course concludes with strategies to organize, secure, and manage data using both graphical and command-line tools, while also interpreting pricing models for efficient cost planning.
Aligned with Bloom’s Taxonomy, this course encourages learners to:
Understand the architecture and components of Azure Data Lake
Apply U-SQL to perform data extraction, filtering, and aggregation
Analyze job graphs and performance metrics for optimization
Create reusable query logic using views, functions, and stored procedures
Evaluate cost efficiency and scalability across access methods
Manage data environments using automation and scripting interfaces
This is a self-paced lab that takes place in the Google Cloud console. Work on a real life threat hunting scenario to learn how to successfully manage your threat intelligence data with Cortex XSOAR TIM and automate response actions using threat intel management playbooks.
Learn how to calculate and apply the cost of capital to make better investment and financing decisions. Build practical skills in CAPM and WACC used in real-world corporate finance.
This course provides a structured approach to understanding how companies determine the cost of raising funds through debt and equity. You will explore how interest rates, taxes, and risk influence financing decisions and overall capital structure.
You will learn how to calculate the cost of debt, preferred equity, and common equity, and apply the Capital Asset Pricing Model (CAPM) to estimate required returns based on systematic risk.
The course also focuses on Weighted Average Cost of Capital (WACC), helping you understand how companies combine different funding sources to determine an overall cost benchmark for investment decisions.
Through step-by-step examples, you will learn how WACC is used to evaluate projects, compare investment opportunities, and adjust for different risk levels across business divisions.
By the end of the course, you will be able to confidently calculate cost of capital, apply WACC in financial analysis, and support strategic corporate finance decisions.
International Leadership and Organizational Behavior
Leaders in business and non-profit organizations increasingly work across national borders and in multi-cultural environments. You may work regularly with customers or suppliers abroad, or be part of a globally dispersed cross-functional team, or an expatriate manager on an international assignment. You may be a member of a global online community, or a development aid worker collaborating with an international network of partner organizations. In all of these contexts, your effectiveness as a leader depends on how well you understand and are able to manage individual and collective behaviors in an intercultural context.
In this course – together with a team of Bocconi expert faculty and Bocconi alumni – we’ll explore the theory and practice of international and intercultural leadership and organizational behavior. Social science research has revealed systematic ways in which our behavior differs across cultural contexts – enabling us to more effectively work across borders. Insights from psychology, neuroscience, sociology and anthropology, from communication studies and from management scholarship allow us to understand what shapes individual and group decision making, what enhances or weakens team performance, and how we can build and use our social networks. And the shared practical experience of international leaders allows us to identify concrete steps to enhancing intercultural leadership competence, and to be cognizant of common leadership challenges.
Learning about organizational behavior provides a great opportunity to develop your leadership skills and to reflect on your own behavioral tendencies. How do you usually make important decisions? What motivates you and how do you try motivating others? How successfully do you leverage and integrate diverse skills and views in a team? Do you prefer professional relationships with a close-knit group of trusted colleagues, or with a far-flung network of acquaintances from all walks of life?
If you really want to learn how organizations behave and take decisions and at the same time develop leadership skills, then this is the course for you.
We are looking forward to welcoming you and supporting you on this journey of learning and discovery.
COURSE SYLLABUS
Week 1 - Leadership Acumen. International perspective on leadership, common traps & challenges, and opportunities of intercultural leadership.
Week 2 - Navigating Culture. Impact of cultural differences on organizations, decoding culture, culture classifications and stereotyping, developing intercultural intelligence.
Week 3 - Communication. Communication and its impact on leadership identity and relationships, managing communication to improve decision making, steps for developing your intercultural communication skills.
Week 4 - Motivation. Views on individual motivation, cultural differences in motivation, developing motivation and commitment in teams.
Week 5 - Networking. Patterns of interpersonal relationships in/across organizations, strategically developing social networks and social capital, norms for networking across cultures.
Week 6 - Conflict. Effective / defective conflict management approaches, dealing with ethical dilemmas.
Thanks to the participation of our alumni and of the Bocconi Alumni Association, participants will have practical insights on international leadership.
RECOMMENDED BACKGROUND
All are welcome! Some prior exposure to basic issues of organizational behavior (communication, decision making, motivation, etc.) is useful, but not required.
Explore cryptocurrency's evolution, wallets, exchanges, stablecoins, and Non-Fungible Tokens (NFTs). Discover NFTs' fractionalization and delve into the world of Decentralized Finance (DeFi) and its protocols. Gain insights into market trends and practical applications in this comprehensive course on cryptocurrency and its wide-ranging uses.
Delivering Bad News To Customers During Customer Service
Lean to say no to customers or deliver bad news to them in a sensible, professional, transparent, and respectable way that impresses, builds trust, and builds positive aspects of your relationship with them for the long term.
LEARN THE NICE, BUT PROFESSIONAL WAY TO SAY NO
Even though you aim to please your customers, you'll sometimes find yourself in a situation in which you must say no. So instead of blatantly saying no, you must wrap that "no" in many yeses.
I'll show you how to acknowledge your customers views and desires to make them feel respected and heard. I'll also show you how to structure the "no" in order to offer viable existing alternatives, and work with them to ultimately end up with a solution that placates their concerns or needs.
USE CUSTOMER EDUCATION TO COME UP WITH VIABLE MIDDLE GROUNDS
Sometimes customers make wild requests because they are not expert in your field. That's why you are the service provider and they are the customer. If you take the time to educate them on the best standard approach, they may appreciate it, and retract their unreasonable demands.
WHAT IF YOU HAVE TO DELIVER BAD NEWS?
Sometimes you just make errors that you have to inform your customers of. It can feel scary to do so, but being transparent and honest is often the best approach. I'll show you how to handle situations in which you must deliver bad news so you do it gracefully, and with minimal negative impact.
Invest in your future! Enroll today!
Strategic Digital Marketing: Data-Driven Digital Marketing
Transform into a data-driven digital marketer by mastering web analytics, performance measurement, ROI calculation, and emerging technologies. This course covers analytics tools, data interpretation, AI and automation in marketing, and ethical considerations in digital marketing, culminating in comprehensive campaign evaluation skills.
By the end of this course, you will be able to:
1. Discuss web analytics tools and metrics for tracking user behavior
2. Apply data analysis to make informed marketing decisions
3. Discuss ways to calculate ROI for digital marketing campaigns
4. Explain AI, automation, and personalization in digital marketing
5. Discuss ethical implications of data collection and targeted advertising
6. Evaluate digital marketing campaigns and develop recommendations for improvement
The Raspberry Pi Platform and Python Programming for the Raspberry Pi
The Raspberry Pi is a small, affordable single-board computer that you will use to design and develop fun and practical IoT devices while learning programming and computer hardware. In addition, you will learn how to set up up the Raspberry Pi environment, get a Linux operating system running, and write and execute some basic Python code on the Raspberry Pi. You will also learn how to use Python-based IDE (integrated development environments) for the Raspberry Pi and how to trace and debug Python code on the device. Please note that this course does not include discussion forums.
Engineering Project Management: Scope, Time and Cost Management
Scope, time, and cost management are at the heart of successful project management. This course will give you the tools to develop a project scope, schedule and budget and then status them to predict project performance. Throughout the course, you will learn about change management and techniques to implement it.
By the end of this course you will be able to:
• Create a requirements document
• Create a Project Scope Statement
• Identify ways to control the scope of the project
• Decompose the work and develop work packages
• Create a Work Breakdown Structure
• Develop a Critical Path Schedule
• Review types of cost estimates and identify whether they are “top down or bottom up”
• Review budgets, contingencies and reserves
• Calculate planned and earned values to compare with actual cost
• Perform a cost and schedule analysis
Each week you will prepare a key deliverable for the project plan based on a provided Case Study. These deliverables include:
• Project Scope Statement
• Project Work Breakdown Structure (WBS) and WBS dictionary
• Critical Path schedule sequence diagram
• Bar Chart Schedule (Gantt Chart)
• Project Cost Estimate
• Project Status using an Earned Value Calculation
All of this will position you to set up a plan to control your next assignment or your next project whether this is as the project manager or as an area leader.
Rice Center for Engineering Leadership is a Registered Education Provider through the Project Management Institute (PMI)®. Learners who complete this course on the Certificate track will be awarded 14 hours of Profession Development Units. These are recognized by PMI for continuing education or can be applied toward the 35 hours of education required for the Project Management Professional (PMP)® certification.
PMI and PMP are registered marks of the Project Management Institute, Inc.
Applied Plotting, Charting & Data Representation in Python
This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework. The third week will be a tutorial of functionality available in matplotlib, and demonstrate a variety of basic statistical charts helping learners to identify when a particular method is good for a particular problem. The course will end with a discussion of other forms of structuring and visualizing data.
This course should be taken after Introduction to Data Science in Python and before the remainder of the Applied Data Science with Python courses: Applied Machine Learning in Python, Applied Text Mining in Python, and Applied Social Network Analysis in Python.
