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• Business

  Beginner

  Entdecke verschiedene Arten von Facebook Ads

  Nach Abschluss dieses Projekts kannst du, unabhängig davon, ob du eine neue Marke startest oder eine bestehende mithilfe deiner Social-Media-Strategie optimieren möchtest, die passende Werbeanzeige für deine nächste Werbekampagne auswählen. Aufgabe des Social Media Marketings ist es, kreative Wege zu finden um die Aufmerksamkeit der User für ihre Produkte und Dienstleistungen zu gewinnen. Dies erfolgt oftmals auf Basis eines sehr geringen Marketing Budgets. Ziel dieses Projekts ist es, verschiedene Arten von Facebook Ads kennenzulernen, und dich mit ihnen vertraut zu machen. Deine neu erworbenen Kenntnisse werden dir in Zukunft dabei behilflich sein die richtige Anzeige für deine Facebook Werbekampagne auszuwählen, um möglichst viele Facebook User zu erreichen. Du wirst heute zunächst einen Facebook Business Page Account erstellen. Anschließend wirst du verschiedene Arten von Facebook Ads kennen- und unterscheiden lernen. Abschließend werden wir auf Facebook Ads zuzugreifen. Diese Schritte werden dir bei der Erstellung zukünftiger Werbekampagnen behilflich sein.

  View details: Entdecke verschiedene Arten von Facebook Ads
• Technology

  Intermediate

  Graph Search, Shortest Paths, and Data Structures

  The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search, connectivity, shortest paths), and their applications (ranging from deduplication to social network analysis).

  1440 min

  View details: Graph Search, Shortest Paths, and Data Structures
• Business

  All levels

  Analyze & Manage Banking Credit Portfolios

  Develop the ability to analyze financial ratios, evaluate credit risk, design compliant loan policies, monitor credit facilities, and apply structured credit risk management frameworks in banking. This course provides a comprehensive understanding of banking credit portfolio management—from borrower financial analysis and loan policy formulation to documentation controls, post-sanction monitoring, and portfolio-level risk evaluation. Learners will examine working capital assessment, stock statement monitoring, bills portfolio supervision, insurance verification, execution of credit documents, limitation management, and risk grading systems used in banks. By completing this course, learners will strengthen practical skills required for credit appraisal, regulatory compliance, risk identification, and asset quality management. The course uniquely integrates financial analysis, legal safeguards, operational monitoring, and portfolio risk strategy into one structured learning pathway aligned with real-world banking practices. Designed for banking professionals, credit officers, auditors, and finance learners, this course enables participants to make informed lending decisions, minimize credit losses, and manage institutional risk exposure with confidence.

  View details: Analyze & Manage Banking Credit Portfolios
• Business

  Intermediate

  How to Start a Biotech Venture

  Biotech companies are transforming the world, but launching a biotech startup comes with unique challenges—protecting intellectual property, securing funding, and building a strong team. This course empowers you with the knowledge and confidence to tackle these issues. You’ll learn how to build a high-performing team, manage finances effectively, ensure your venture is aligned with the market, protect your intellectual property, and navigate legal and regulatory hurdles. Offered by the Technical University of Munich, one of Europe’s leading research and innovation hubs, the course combines academic expertise with practical insights from industry experts, patent attorneys, and entrepreneurs who share their real-world advice and experiences, giving you the tools to successfully bring your biotech innovation to life.

  1260 min

  View details: How to Start a Biotech Venture
• Technology

  All levels

  Einführung in die Datenanalyse in Google Cloud

  In diesem Anfängerkurs erhalten Sie Informationen über den Datenanalyse-Workflow in Google Cloud. Außerdem werden Ihnen die verfügbaren Tools zum Auswerten, Analysieren und Visualisieren von Daten sowie zur Freigabe Ihrer gewonnenen Erkenntnisse an Stakeholder vorgestellt. Anhand einer Fallstudie sowie von praxisorientierten Labs, Vorlesungen und Quizzen/Demos zeigt der Kurs, wie Rohdaten bereinigt und daraus wirkungsvolle Visualisierungen und Dashboards erstellt werden. Ganz gleich, ob Sie bereits mit Daten arbeiten und erfahren möchten, wie Sie in Google Cloud erfolgreich sein können, oder ob Sie sich beruflich weiterbilden möchten – dieser Kurs erleichtert Ihnen den Einstieg. Fast jeder, der bei seiner Arbeit Datenanalysen ausführt oder verwendet, kann von diesem Kurs profitieren.

  View details: Einführung in die Datenanalyse in Google Cloud
• Technology

  Beginner

  Améliorez les réseaux neuronaux profonds

  Dans ce cours, vous apprendrez la "magie" qui permet l'efficacité de l’apprentissage profond. Plutôt que de voir le processus d’apprentissage profond comme une boîte noire, vous comprendrez ce qui commande la performance et vous pourrez ainsi obtenir systématiquement de bons résultats plus souvent. Vous apprendrez également TensorFlow. Au bout de 3 semaines, vous: - Pourrez comprendre les meilleures pratiques dans le secteur de construction des applications d’apprentissage profond. - Serez en mesure d’utiliser avec efficacité des "astuces", communes des réseaux neuronaux, qui incluent l’initialisation, la régularisation L2 et la régularisation du décrochage, la normalisation par lots, la vérification de gradients, - Pourrez mettre en œuvre et employer une variété d’algorithmes d’optimisation, comme par exemple la descente de gradients par mini-lots, le momentum, RMSprop et Adam, et contrôler leur convergence. - Comprendrez, à l’ère de l’apprentissage profond, les nouvelles meilleures pratiques sur la configuration des ensembles train/dev/test et comment analyser les biais/variances - Pourrez implémenter un réseau neuronal dans TensorFlow. Ceci est le deuxième cours de spécialisation en apprentissage profond.

  View details: Améliorez les réseaux neuronaux profonds
• Business

  Beginner

  Boost Engagement with Audience Analytics

  Website analytics are essential for turning data into actionable marketing insights. This course teaches you to analyze user behavior, audience trends, and site performance to make content improvements that boost engagement and reduce abandonment. You will learn to interpret bounce rates, session duration, and demographic patterns to uncover content-audience misalignment. Building on these analyses, you will extract actionable insights from web metrics and track shifts in audience behavior that inform marketing strategy. By the end of this course, you will be able to translate analytics into targeted actions—optimizing internal linking, integrating multimedia, and refining audience targeting. You will also gain the confidence to make data-driven content decisions that improve engagement and deliver measurable results.

  View details: Boost Engagement with Audience Analytics
• Business

  All levels

  Inclusive Analytic Techniques

  Many policies, products, services or processes that we think of as gender-neutral actually have gendered outcomes. Everything from snow plowing to car safety to investment advising to infrastructure investment has impacts that differ by gender. These outcomes can be even more biased if we look at important intersections with race, indigeneity, differences in ability, ethnicity, sexual orientation, and other identities. The question is, what can you do to change this? And, how can you avoid the risks of bias or create innovative new offerings using gender-based insights? Inclusive Analytics Techniques will provide you with the tools and analytical techniques to uncover these intersectional insights. The course covers both quantitative and qualitative data collection and analysis, including basic statistical techniques and practical instructions for working with customers, beneficiaries and other stakeholders. You will learn to incorporate multiple sources of rich evidence in order to develop innovative insights into how policies, products, services and processes can be made more equitable or serve unique communities. This is the second course of the Gender Analytics Specialization offered by the Institute for Gender and the Economy (GATE) at the University of Toronto's Rotman School of Management. It's great on its own, and you will get even more out of it if you take it as part of the Specialization.

  View details: Inclusive Analytic Techniques
• Business

  Beginner

  Collaboration & Governance

  Governance is what separates teams that scale from teams that struggle. In this course, you will build a complete governance framework for an Asana workspace — covering access control, communication protocols, security configuration, and goal alignment. You will learn how to define role-based permissions that protect sensitive data while keeping collaboration fluid. You will design communication standards that reduce noise and improve stakeholder engagement. You will configure security baselines — including two-factor authentication, SSO, and app management policies — that meet organizational compliance requirements. And you will cascade company OKRs into project-level goals so every team member understands how their work connects to strategic priorities. This course is built for project managers, PMO leads, and operations professionals who want to move beyond tool familiarity and into organizational governance. By the end, you will have a portfolio-ready governance document that demonstrates the leadership and systems thinking employers look for in senior project management roles.

  View details: Collaboration & Governance
• Business

  Intermediate

  Operations Management

  Participants will learn to optimize operations, enhance productivity, and address real-world challenges through strategic planning and effective implementation. The curriculum combines theoretical knowledge with practical applications to equip learners with the skills needed for successful operations management in various industries.

  900 min

  View details: Operations Management
• Technology

  Beginner

  Python: de cero a usuario

  Aprenderás el lenguaje Python y las libretas de Jupyter en Windows, Linux y MacOS. Operarás la declaración de variables, estructuras de control y las funciones integradas en Python. Además manipularás la libreta de Jupyter y usará los magic commands. Tendrás acceso a la documentación y conocerás cómo realizar la instalación de paquetes para Python y usarás la libreta de Jupyter para resolver problemas sencillos.

  View details: Python: de cero a usuario
• Technology

  All levels

  Deep Learning RNN & LSTM: Stock Price Prediction

  By the end of this course, learners will be able to identify the foundations of deep learning, analyze stock price datasets, apply preprocessing and feature scaling techniques, develop an RNN with LSTM layers, and evaluate predictions using real-world financial data. This hands-on course takes learners through the complete journey of building a stock price forecasting model with Python. Starting with environment setup and dataset exploration, participants will learn how to preprocess data, perform exploratory data analysis, and apply transformations that prepare inputs for deep learning models. The course then dives into constructing and training a Recurrent Neural Network, leveraging LSTM layers to capture sequential dependencies in stock prices. Learners will test predictions on unseen data and visualize results to interpret model accuracy. What makes this course unique is its practical project-based approach—instead of abstract theory, every step is tied to real-world stock price data from Apple. Whether you are a data science beginner or looking to specialize in time-series forecasting, this course equips you with skills to confidently apply deep learning models to financial predictions and beyond.

  View details: Deep Learning RNN & LSTM: Stock Price Prediction