This course equips learners with essential skills in data analysis and financial management to support effective decision-making in account management. Learners will explore techniques for managing financial data, analyzing key performance indicators, and using customer data to enhance account strategies. The course emphasizes technology-driven approaches — including Power BI, Excel, and Microsoft Copilot — to collect, process, and visualize data efficiently.
Data-driven marketing is essential for turning insights into measurable business growth. This course teaches you to analyze user behavior, forecast traffic trends, optimize SEO, and improve campaign ROI using Google Analytics and attribution models.
You will learn to segment behavioral data to uncover conversion patterns, apply regression analysis for traffic forecasting, implement technical SEO improvements, and evaluate cross-channel campaign performance. No coding experience is required—you will gain practical skills in statistical analysis, keyword research, and performance optimization that apply directly to real marketing challenges.
By the end of this course, you will confidently validate automated insights, identify high-impact content opportunities, calculate correlations between user actions and conversions, and present data-driven recommendations that support budget decisions. These skills help marketers move from executing campaigns to driving strategic growth.
Welcome to Digital Transformation Strategy! As you probably know, this is the first course in a three part specialization focused on the digital transformation of finance. We'll aim to bring you insights about how digitalization intersects with finance, culled from one of the world's top regions for digital innovation. I'm excited to have you in the class and look forward to helping you learn more about this important topic.
To begin, I recommend taking a few minutes to explore the course site. A good place to start is the navigation bar on the left. Click Course Content to see what material we’ll cover each week, as well preview the assignments you’ll need to complete to pass the course. Click Discussions to see forums where you can discuss the course material with fellow students taking the class. Be sure to introduce yourself to everyone in the Meet and Greet forum!
This course should take about four weeks to complete. You can check out the recommended course schedule below to see a quick overview of the lessons and assignments you’ll complete each week.
By the time you finish this course, you’ll have mastered the transformational forces of digitalization and the new competitive dynamics it gives rise to, learned from leading financial companies and seen inspirational examples from the digital masters. You'll be introduced to the Capstone Project for the specialization and have a chance to form some preliminary solutions for a financial company seeking a new strategy for the digital age of finance.
Good luck as you get started. I look forward to seeing you in class!
Networking in Google Cloud: Network Security - Español
Te damos la bienvenida al cuarto curso de la serie ""Networking in Google Cloud"": Network Security.
En este curso, profundizarás en los servicios para proteger tu infraestructura de red de Google Cloud.
En el primer módulo, Protección contra ataques de denegación de servicio distribuido (DDoS), se explica cómo fortalecer tu red contra los ataques de denegación de servicio distribuido (DDoS) para garantizar la disponibilidad sin interrupciones de tus servicios.
En el segundo módulo, Controla el acceso a redes de VPC, aprenderás sobre el control de acceso a redes, lo que te permitirá definir permisos relacionados con quiénes pueden acceder a tus recursos y cómo.
Por último, en el tercer módulo, Análisis y supervisión de seguridad avanzados, exploraremos cómo detectar posibles amenazas y responder a ellas de forma proactiva para mantener un entorno de Google Cloud seguro y resiliente.
Al final de este curso, tendrás un conocimiento exhaustivo de la seguridad de redes de Google Cloud.
Ready to transform your data analysis from correlation to causation?
This Short Course was created to help data analysts accomplish rigorous causal inference in business settings. By completing this course, you'll be able to distinguish true causal effects from spurious correlations, validate causal assumptions with statistical rigor, and generate stable causal insights that drive strategic decisions.
By the end of this course, you will be able to:
- Implement propensity score matching for treatment effect estimation
- Evaluate causal assumptions and detect violations in business experiments
- Apply PC algorithms to discover causal relationships from marketing data
- Assess robustness through bootstrap resampling and stability metrics
This course is unique because it bridges academic causal inference theory with practical business applications using real marketing and experimental datasets.
To be successful in this project, you should have a background in Python programming, statistics, and experience with pandas/stats models.
International Marketing Strategies and Global Trade
Learn how to analyze global markets, develop international marketing strategies, and make informed business decisions across diverse cultural, legal, and economic environments. This course provides practical skills in market entry, global branding, pricing, promotion, and international market research used in modern global business.
The course begins with the foundations of international marketing, including global trade concepts, international business challenges, and trade theories that influence global market decisions. Learners will understand how organizations identify international opportunities and navigate competitive global environments.
As the course progresses, learners examine global trade systems, economic integration, and international market entry strategies. The course also explores marketing research techniques, cultural dimensions, and consumer behavior across international markets, helping learners understand how culture influences business and marketing decisions.
Advanced modules focus on global branding, segmentation, pricing strategies, promotion techniques, organizational structures, and international distribution systems. Learners will also analyze political, legal, and financial environments that affect international operations and strategic planning.
What makes this course unique is its integrated approach that combines international trade concepts, strategic marketing, and real-world business application. By the end of the course, learners will be able to analyze international business opportunities, design effective global marketing strategies, and apply practical decision-making skills in international business, export management, and global marketing roles.
Enhancing Educational Content with Fliki AI's Text-to-Speech
In a world where information is readily available, the ability to effectively communicate and engage an audience has become crucial. With the power of Fliki AI, a cutting-edge text-to-speech and video creation platform, you can transform educational content into captivating and informative multimedia experiences. Through this project, you will embark on a journey to create engaging and interactive financial educational materials using Fliki AI's innovative tools. You will create a series of captivating videos and audio content that fosters an understanding of complex financial concepts. This project is unique because it equips you with the technical skills needed to integrate Fliki AI's tools seamlessly and cultivates a nuanced approach to tailoring educational content for diverse audiences. To succeed in this project, you only need basic computer skills and a basic understanding of content creation.
El curso Emprender la emprendeduría tiene por objetivo promover las competencias emprendedoras en aquellas personas que están pensando en orientar su vida profesional hacia la creación de su propia empresa en el sector audiovisual.
El curso ha sido desarrollado por un conjunto de profesores de la Universidad de Barcelona, expertos en diferentes áreas de conocimientos como la psicología, la educación, la filología, el derecho, pero con el común denominador de una dilatada experiencia en el sector audiovisual.
El curso se estructura en 4 módulos, en los que aprenderás cómo analizar la viabilidad económica de tu proyecto audiovisual, qué aspectos jurídicos debes tener en cuenta y qué procedimientos administrativos debes seguir.
El curso finaliza con las recomendaciones de algunos de los profesionales más importantes del sector, sobre los aspectos que ellos consideran clave a la hora de emprender un proyecto audiovisual.
Business Card Design And Business Networking For Marketing
Professional business card marketing and business networking to sell products and build great business relationships!
Learn how to pitch your business in different situations. Intrigue people with your elevator pitch and make people interested in you and your business. Also, learn how to have great conversations and exchanges with everyone you meet when you are doing your business networking.
BUSINESS CARD COPYWRITING
You will also learn basic business card copywriting so you can create your cards in a way that drives more sales, and gets people to engage with your business cards, follow up with you, and want to have more long-term business relationships with you.
Go ahead, sign up for this course, and let's get you to have a much more professional and effective approach to your business card marketing that will result in more sales and more amazing business relationships which will bring you benefits for years to come.
RECENTLY ADDED: REPUTATION MANAGEMENT WITH LINKEDIN
Now you can use this course to create an amazing LinkedIn profile that will make people want to work with you. When people search Google for your name, your LinkedIn profile is one of the first websites that comes up, and it is important to make sure that you will have a great LinkedIn profile.
Invest in your future. Enroll today!
Intro to Data Analytics, SQL, and EDA Using Python
The ability to understand and work with data has become increasingly important in today's world, where data is ubiquitous and valuable. This course covers a range of topics, including what data is and
its different types, what big data looks like, and how companies are using it. It also explores the fields of data analysis and data science and how the two come together. To help form the field of data analytics, we'll look at the entire data analytics process and how it works, from defining the analytics problem to
interpreting and presenting the results. We'll also look at some case studies, which are presented to illustrate the application of data analytics in real-world scenarios.
Create Employee Management System with When I Work
By the end of this course, you will create an effective employee management system using When I Work. This course builds on the foundation from the Introduction to Scheduling with When I Work Course and is intended to further develop the program’s team management capabilities. In this project, you will manage and track employee attendance and timesheets. In addition, you will create a talent acquisition plan using the free features on When I Work to make job postings, track applicants, and hire new employees.
Effective employee management processes and new talent acquisition programs are important elements in every successful company. In this project, you will get hands-on experience using the When I Work program to establish a more detailed and effective employee management system.
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.
Learn how to make ethical and responsible decisions in real data science projects. This course introduces the foundations of data ethics, professional ethics, and ethical decision-making, giving you the tools to appraise project methods with confidence.
You’ll explore how responsible choices shape outcomes, how to recognise risks in data- driven work, and how to apply ethical frameworks throughout the project lifecycle.
Designed with practical application in mind, the course helps you build the judgement needed for working in modern data science roles. By the end, you’ll understand the conditions for responsibility, be able to evaluate methodological decisions, and feel equipped to navigate ethical challenges in data-intensive environments.
