CFI’s Comparable Valuation Fundamentals course provides a practical foundation for valuing companies using comparable trading analysis and precedent transaction analysis - - two of the most widely used methods in finance.
Throughout the course, you will learn how to apply these techniques to value a target company, including how to select an appropriate peer group of comparable companies. You will also explore the enterprise value framework and understand which valuation multiples are most relevant for different situations.
In addition, the course will guide you through calculating key financial metrics such as last twelve months (LTM) results to assess recent performance. By the end, you will be equipped to perform comparable valuation analysis with confidence and support real-world investment and advisory decisions.
Nossas boas-vindas ao Curso Comportamento e Marketing Digital.
Neste curso, você aprenderá como uma organização pode analisar o comportamento do consumidor no ambiente digital.
Ao final deste curso, você será capaz de analisar, compreender e planejar a jornada do seu cliente no ambiente digital.
Este curso é composto por quatro módulos, disponibilizados em semanas de aprendizagem. Cada módulo é composto por vídeos, leituras e testes de verificação de aprendizagem. Ao final de cada módulo, temos uma avaliação de verificação dos conhecimentos.
Estamos muito felizes com sua presença neste curso e esperamos que você tire o máximo de proveito dos conceitos aqui apresentados.
Bons estudos!
Care: The First Step in Tech Innovation for Entrepreneurs
As you develop your innovator mindset, you will need to focus on evidence-based entrepreneurship and skills that will help you move forward in identifying and solving problems. You will learn the tenets of evidence-based entrepreneurship, identify and work on problems, and assess the value of intrapreneurship.
Ready for more?! This is the second course of the Google Cloud Cybersecurity Certificate. Crack the code of security and compliance! ️ This course is your decoder ring to unlock the world of security domains, frameworks, and data privacy. Discover the secret language of risk, controls, and the trio of compliance: people, process, and tech!
SAP Technology Consultant Hands-on Project is the sixth course in the SAP Technology Consultant Professional Certificate program. This is your opportunity to put the knowledge and skills you have gained over the previous five courses into practice.
This fun and interesting project is a high-level challenge based on a real-world problem. You’ll identify key players in the proposed project and take the necessary steps to understand their current technical landscape. You’ll identify their business requirements and develop a solution proposal. Once you’ve obtained sign off from the customer, you’ll then identify the key technology elements you need to cover and assess the stakeholders and other SAP professionals you’ll be working with. You’ll work on and present your design, including your assumptions, proposed recommendations, and other considerations. Then you’ll implement your proposed solution and complete QA/testing activities. And finish off by creating a Post-Implementation Review Report documenting the lessons learnt and the future roadmap.
Overall, this project presents an ideal opportunity to gain experience in assessing the digital transformation drivers in a real-life situation.
By the end of this project, you will be able to:
Review, understand and respond to a customer implementing a new SAP solution.
Complete typical technology consultant project tasks for each SAP lifecycle phase.
Develop and present selected technology consultant project deliverables.
Compare course project work against provided best practice examples and identify gaps or opportunities for development.
This course is designed to teach you the basic skills required to write programs using the REXX language in z/OS. The course covers the TSO extensions to REXX and interaction with other environments such as the MVS console, running REXX in batch jobs, and compiling REXX.
A total of 11 hands-on labs on an IBM Z server (via remote Skytap access) are part of this course.
On successful completion of the course, learners can earn theor badge. Details here- https://www.credly.com/org/ibm/badge/ibm-z-os-rexx-programming
Python: Master House Price Prediction with Linear Regression
By the end of this course, learners will be able to prepare housing datasets, apply preprocessing and transformation techniques, engineer meaningful features, perform exploratory data analysis, and build predictive models using linear regression in Python. You will also learn to evaluate multicollinearity with Variance Inflation Factor (VIF) and validate prediction accuracy with best practices in model evaluation.
This course is designed to take you step by step through the entire workflow of predictive modeling, starting with project setup and dataset understanding, followed by advanced techniques in data cleaning, correlation analysis, and regression modeling. Through hands-on practice with the Ames Housing dataset, you will gain practical skills in transforming raw data into actionable insights.
What makes this course unique is its end-to-end, project-based structure that mirrors real-world machine learning workflows. Instead of abstract theory, you will learn by applying concepts directly to a practical case study—predicting house prices with real housing data. Whether you are a beginner in data science or looking to strengthen your machine learning portfolio, this course will equip you with the skills to confidently implement regression-based predictive analytics.
La diversité est une réalité indéniable dans le monde d'aujourd'hui.
Les mouvements de femmes, le militantisme pour les droits civiques, Black Lives Matter, la mondialisation et bien d'autres encore ont tous contribué à attirer l'attention sur l'importance de la diversité et de l'inclusion.
Les questions de diversité occupent systématiquement les deux faces d'une même pièce.
D'une part, les mouvements sociaux ont historiquement mis en lumière les inégalités subies par les femmes et les groupes minoritaires. D'autre part, la diversité apporte des perspectives différentes et potentiellement nouvelles, qui peuvent être source d'innovation et de changement.
Sur le plan cognitif, la relation entre la diversité et l'inclusion est paradoxale. Des études ont montré que nous devons être capables de voir et d'entendre les différences afin de profiter des avantages de la diversité. Cependant, le fait de voir et d'entendre les différences aiguise nos réflexes de discrimination et peut aboutir à la discrimination.
Il s'agit d'un cours d'introduction à la diversité et à l'inclusion qui fournit des informations sur les raisons pour lesquelles il s'agit d'une question importante pour les organisations, sur les façons dont nous pouvons comprendre conceptuellement la diversité et l'inclusion, et sur certaines initiatives et meilleures pratiques pour aborder la diversité et l'inclusion sur le lieu de travail.
Ce cours propose une approche cognitive et vous permettra de :
- comprendre pourquoi la diversité et l'inclusion constituent un défi important pour les organisations,
- comprendre les processus cognitifs qui sous-tendent nos réactions à la différence,
- comprendre la relation paradoxale entre la diversité et l'inclusion,
- gérer la diversité et l'inclusion afin de mieux canaliser le potentiel de diversité et encourager l'inclusion pour plus de performance et d'innovation.
This course is best suited for individuals currently in the healthcare sector, as a provider, payer, or administrator. Individuals pursuing a career change to the healthcare sector may also be interested in this course.
In this course, you will have an opportunity to examine topics related to data-driven decision making in healthcare. You will be asked to consider both the patient and provider perspective and their contributions to improving the quality of care provided. Through the readings, the application of the analytical tools, and the concepts and principles in this course, you will have a more comprehensive understanding of the complexity of healthcare delivery organizations and how they affect patient care delivery and ultimately patient medical outcomes.
This course provides you the opportunity to:
~ Describe how healthcare business analytics fits into the data science and business disciplines
~ Identify key current issues in analytics and data science
~ Describe how business analytics integrates with business strategy
Amazon Lex is a fully managed artificial intelligence (AI) service with advanced natural language models to design, build, test, and deploy conversational interfaces for voice and text. In this course, you will learn the benefits and technical concepts of Amazon Lex.
If you are new to the service, you will learn how to start with Amazon Lex through a demonstration using the AWS Management Console. You will learn about the Amazon Lex architecture and how its built-in features can help you quickly build sophisticated, natural language conversational bots, or chatbots.
Information Retrieval (IR) and Retrieval Augmented Generation (RAG) are only effective if the information retrieved from a database as a result of a query is relevant to the query and its application.
Too often, queries return semantically similar results but don’t answer the question posed. They may also return irrelevant material which can distract the LLM from the correct results.
This course teaches advanced retrieval techniques to improve the relevancy of retrieved results.
The techniques covered include:
1. Query Expansion: Expanding user queries improves information retrieval by including related concepts and keywords. Utilizing an LLM makes this traditional technique even more effective. Another form of expansion has the LLM suggest a possible answer to the query which is then included in the query.
2. Cross-encoder reranking: Reranking retrieval results to select the results most relevant to your query improves your results.
3. Training and utilizing Embedding Adapters: Adding an adapter layer to reshape embeddings can improve retrieval by emphasizing elements relevant to your application.
