This course will take you to a professional level in responsive web design. You'll learn to build advanced layouts while solving fun coding challenges along the way.
Let me ask you a few questions:
Do you want to learn to build responsive websites that look 100% professional?
Do you want to be confident that your website works well on all devices?
Are you tired of feeling that your CSS is a mess?
If your answer is YES, then this is the perfect course for you!
It gives you a deep understanding of CSS and responsive design while keeping you fully engaged along the way. You'll learn to build four different layouts: a blog, a landing page, a banner, and a company website. Each one will take your skills to a new level.
To ensure that the knowledge sticks with you, you are given interactive coding challenges as you progress. It's as if you and the instructor are pair-programming together!
This kind of fast-paced interactivity simply isn't possible with any other platform than Scrimba!
This course explores Meta Marketing Analytics Tools. You'll learn how to create ads using Meta Ads Manager, utilize Meta experiments, optimize ads through A/B testing, integrate data from campaigns and perform an analysis to evaluate the results.
By the end of this course you will be able to:
• Create an ad in Meta Ads Manager
• Evaluate campaign results
• Conduct an A/B Test to compare ad campaigns and see which performs best
• Conduct a Brand Lift test to measure how your ads impact brand awareness or recall
• Conduct a Conversion Lift test to measure the incremental impact your ad has on conversions
• Identify how and when to use Marketing Mix Modeling to achieve your desired outcomes
• Implement a full analysis process from hypothesis to recommending measurement solutions, performing an analysis, generating insights and presenting results
This course is for people who want to use Meta Ads Manager to run tests, learn what works, and optimize advertising strategies to improve ad performance.
Este curso forma parte de una secuencia y como podrás ver, no sólo te preparará para la física universitaria, sino que al mismo tiempo te sensibilizará para poder comprender y asimilar fenómenos y resolver problemas de la vida cotidiana.
Curso con crédito académico para alumnos admitidos y aspirantes a ingresar a su primer semestre de un programa de profesional en el Tecnológico de Monterrey. Si estás inscrito en este MOOC con el fin de obtener el crédito académico para el curso de Introducción a la Física (Física Remedial), confirma tu interés en la acreditación a la cuenta: mooc@servicios.itesm.mx
Consulta las preguntas frecuentes para conocer el proceso de acreditación.
Oceanografía: una clave para entender mejor nuestro mundo
En este curso, el estudiante aprenderá las bases de la ciencia oceanográfica. Cómo se clasifica y se ha formado el fondo marino, cómo funcionan los actuales sistemas de análisis del mar por satélite, la química del océano y los procesos que han llevado a su formación.
Este curso enfoca la meteorología y climatología oceánicas desde la perspectiva de los conocimientos básicos que necesitan los navegantes para participar en una regata como la Barcelona World Race, la única una vuelta al mundo sin escalas con dos tripulantes.
The Retail Customer Service course examines the day-to-day tasks that will be tackled in a retail customer service setting, including advanced skills such as returns and exchanges. You will apply guidelines for transactions such as sales, returns, exchanges, and data entry for customer information in real simulations. You will also observe the skills within a retail community location, evaluating the types of tasks observed and shared with a group of peers. You will complete sample transactions for peer evaluation, ensuring all steps are executed and excellent customer service is provided during any transaction.
By the end of the course, you will be able to:
- Create positive interactions with customers
- De-escalate conflict with customers
- Process retail transactions in real-world situations
- Describe the different roles in retail customer service
To be successful in this course, it is recommended that you complete the first two courses in this program.
Exploring Cost-optimization for GKE Virtual Machines
This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab, you’ll learn how to determine and select the the most cost effective machine type for a GKE application. You will also explore the pros and cons of a multi-zonal cluster.
Campaign Performance Reporting, Visualization, & Improvement
The Campaign Performance Reporting, Visualization, and Improvement course explores the critical aspects of measuring, reporting, and enhancing campaign performance to achieve marketing excellence.
After completing this course, you will be able to:
- Describe the value of data storytelling and list best practices for preparing visualizations.
- Identify popular visualization tools and advantages of each.
- Identify common market channel strategies.
- Describe the ANSOFF Matrix Model and choose a market strategy using ANSOFF Matrix.
- Identify what campaign structures impact ROI and common pitfalls to avoid.
- Assess and readjust ROI.
- Identify the steps to plan and implement market campaign analysis.
- Recognize the different models of multi-touch attribution and identify how to implement multi-touch attribution.
Product Managers are masters at internal sales, team building, delegation, and empowerment. They also know that great product management careers are not built alone. From envisioning a product strategy to correctly portraying the product roadmap, the process must be inclusive, interactive, and motivating with modern leadership techniques. As your products grow, you’ll also need to skills to manage teams of teams. This course will enable you to align product teams, product designs, and product development for speed and innovation at scale.
Product Managers have one of the toughest, most demanding positions in the modern product organization. They must be both visionaries and evangelists, as well as facilitators and coaches. Often they must communicate clearly and effectively across a wide range of audiences. To do this well means being the expert in a number of key competencies of leadership.
Modern leadership principles emphasize empowerment and ownership. Meanwhile products require teams to work together at scale. This course will starts by resetting on what is good leadership based on actual data and studies. Not half-proven theories or intuition. Drawing on actual research and met studies we’ll cover the key elements of what makes a good product leader based on work by Jim Collins John Maxwell, Peter Northouse, Melissa Perri, and more. One of the key findings is that a leader’s success is driven by their team, and how well that team aligns with the mission. Understanding this, we’ll show you how to maximize the team’s effect on the leader and vice versa.
Next we’ll dive into how to build the team. This is essential if you want to move the culture and practices of your organization to truly thrive. We’ll also go over principles of encouraging ownership and continuously replenish your leadership pipeline.
In the third week, we’ll look at the core influential competencies of a product evangelist. This means vision setting, roadmapping problems, setting goals and objectives, demoing effectively and more. We’ll also discuss the art of negotiating across departments and interests, and how to manage conflicts to resolution quickly through good leadership and problem solving.
Finally we’ll turn to frameworks for organizing teams at multiple scales of product development. Whether an aspiring product manager or Head of Product, this will enable better understanding of how leaders align teams. Starting with basic Agile processes we’ll move on to scaling techniques for integrating hardware and software teams of teams. We’ll also discuss how to deploy influence and guide the work with discovery frameworks and techniques at scale. Understanding core processes and trade-offs at scale is critical to leading products to success.
Getting the Most from Your Spreadsheets with GenAI
Artificial intelligence (AI) has rapidly become a phenomenon; a much-talked-about technological sea change. It's also a major disruptive force in the world of business. Generative AI tools can provide value in many ways, one of which is by assisting people who work with data stored in spreadsheets. No matter what spreadsheet software you use, what the data is about, or how it's structured, you can use freely available generative AI tools to enhance your productivity and help you find solutions to problems that can guide crucial business decisions. And, you can do all of this without having to pay for expensive AI integrations into your spreadsheet software. You just need to know what generative AI can do for you, what free tools to leverage, and the right questions to ask to get the most from your spreadsheets.
This course is designed for professionals in a variety of roles who currently use spreadsheets to accomplish business tasks, and who want to enhance their use of spreadsheets by leveraging freely available generative AI tools.
In this course, you will: select and use generative AI tools to generate spreadsheet content, use generative AI to enhance your productivity while working in spreadsheets, and use generative AI to solve spreadsheet-related problems.
This course assumes the use of Microsoft Excel for spreadsheet-related tasks, but other spreadsheet programs like Google Sheets should be sufficient. You also need access to free accounts for major genAI services like ChatGPT and Gemini.
Os cursos de Introdução aos Princípios de Gerenciamento de Projetos e Especialização em Práticas são um precursor recomendado para o Certificado de Gerenciamento de Projetos Aplicado da UCI.
Os projetos bem-sucedidos requerem um planejamento inicial cuidadoso. Neste curso, você aprenderá as principais funções e responsabilidades do gerente de projeto e da equipe do projeto. Você também aprenderá a responder a algumas perguntas importantes com antecedência para ajudá-lo a cumprir os objetivos do projeto: O que este projeto realizará? Por que este projeto é importante? Quem se beneficia com este projeto? Como planejaremos resultados bem-sucedidos?
Ao concluir este curso, você será capaz de:
1. Identificar as principais características de um projeto
2. Identificar as principais restrições do projeto
3. Definir a função e as responsabilidades do gerente de projeto
4. Identificar as estruturas organizacionais do projeto
5. Compreender a definição de uma parte interessada do projeto
6. Identificar as partes interessadas do projeto
7. Identificar as necessidades de informação das partes interessadas no projeto
8. Definir a responsabilidade de gerenciar e controlar o engajamento das partes interessadas
9. Definir o propósito de usar um termo de abertura do projeto
10. Resumir os principais elementos de um plano de projeto
11. Identificar fontes comuns de conflito em um ambiente de projeto
12. Descrever a diferença entre autoridade e influência
Este curso te introduce a los principios fundamentales de la investigación científica, explorando cómo el ser humano ha intentado comprender la realidad y el conocimiento a lo largo del tiempo. A través de la reflexión sobre corrientes filosóficas como el empirismo, el racionalismo, el idealismo y el realismo, aprenderás a analizar cómo construimos y validamos lo que sabemos. También estudiarás el método científico, sus alcances y limitaciones, y descubrirás las ciencias de la complejidad, que proporcionan una visión innovadora sobre los sistemas complejos. Al finalizar, desarrollarás una comprensión crítica del rol de la ciencia en la interpretación de la realidad. Este curso está dirigido principalmente a estudiantes universitarios de primer y segundo año interesados en ciencia e ingeniería, así como a estudiantes de educación media y profesionales interesados en programación o campos relacionados con ciencias.
Hybrid AI Search Workflows is an intermediate course designed for AI engineers, developers, and data scientists who want to build search systems that are both intelligent and factually reliable. While generative AI offers powerful reasoning, it can be prone to hallucination; traditional search is accurate but lacks contextual understanding. This course teaches you how to architect and implement hybrid workflows that get the best of both worlds, grounding powerful LLMs with verifiable data from classic search techniques.
You will move beyond basic prompting to design, evaluate, and optimize systems that balance performance and cost. Through hands-on labs, you will master techniques for tuning model parameters, designing cost-efficient hybrid architectures, and modularizing your code for scalable, production-ready CI/CD pipelines. By the end of this course, you will be equipped to build and deploy trustworthy AI search applications that deliver accurate, context-aware, and reliable answers.
