By the end of this project, you will have everything you need to begin marketing your business with Canva. You will have learned how to create your own business logo, business cards, and an eye-catching business launch ad with a call to action. You will have everything you need to unveil your brand to the public with confidence! This process will allow you to tap into your creative side and pick the perfect aesthetics to appeal to your target market and share your brand vision with the world. This is a great tool to use if you are planning to start your own business or want to refresh your current brand image.
Note: This course works best for learners who are based in the North American region. We’re currently working on providing the same experience in other regions.
In this course, you will learn the importance of Return on Invested Capital (ROIC) and Free Cash Flow (FCF) as critical metrics for assessing a company’s financial health and investment attractiveness. Additionally, you will unpack the cash conversion cycle’s components to appreciate how effectively managing receivables, inventory, and payables can improve a company’s liquidity and operational efficiency. You will apply these concepts by performing financial analyses and completing practical assessments on cash flow management.
This course is ideal for non-financial managers or professionals who seek to enhance their financial acumen to make better business decisions. No prior experience in finance is required. However, a basic understanding of business operations and strategic thinking will be beneficial.
Strategic Info Systems: Planning & Business Alignment
This course introduces key project management principles for IT systems development. You'll learn about project planning, scope management, Agile methodologies, and creating project charters and management plans. Emphasis is placed on aligning projects with business goals and managing requirements to ensure successful outcomes
This course teaches you how to evaluate and design custom neural network architectures for real machine-learning tasks. You start by learning how to compare common model families—such as CNNs, RNNs, and Transformers—and match them to task needs, data patterns, and compute limits. You then learn how to construct custom architectures using layers, activations, and regularization techniques that improve generalization and training stability. Through videos, readings, hands-on practice, and guided coach support, you build models in PyTorch and test how design choices affect performance. By the end of the course, you can confidently select topologies, justify architectural decisions, and design models ready for real-world deployment.
Master the practical skills used by private equity and venture capital professionals to evaluate investments, build financial models, and analyze company valuations. This course provides a structured approach to private equity valuation, ownership modeling, venture capital funding analysis, and investment performance measurement using real-world frameworks and industry-standard methodologies.
The course begins with the foundations of private equity modeling, where learners develop financial models from the ground up by integrating assumptions, structuring inputs, and calculating key profitability metrics. This foundational knowledge enables learners to understand how investment decisions are evaluated in professional PE and VC environments.
As the course progresses, learners explore investment performance measurement and valuation techniques. Topics include ownership structures, equity dilution, investment returns, valuation methodologies, and key performance indicators such as Total Value to Paid-In Capital (TVPI) and Net Asset Value (NAV). Learners gain practical insight into how investors assess value creation and portfolio performance.
Advanced modules focus on scenario analysis, risk assessment, and valuation refinement. Learners will build dynamic models to evaluate multiple investment outcomes, analyze funding scenarios, and assess how changing assumptions impact company valuation and investor returns.
What makes this course unique is its hands-on, implementation-focused approach. Rather than focusing solely on valuation theory, the course emphasizes building real-world models and applying analytical frameworks used by private equity and venture capital professionals. By the end of the course, learners will be able to confidently construct financial models, evaluate investment opportunities, analyze ownership structures, and make informed PE and VC funding decisions.
Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano
Questo corso tratta la creazione di modelli ML con TensorFlow e Keras, il miglioramento dell'accuratezza dei modelli ML e la scrittura di modelli ML per l'uso su larga scala.
How can companies act in the fight against global warming?
This is a question that is being asked more and more urgently to all economic actors.
To shed some light on your thoughts, we have met with four companies of various sizes and sectors of activity that are very committed to the subject. They will share with you their progress in aligning themselves with the objectives of the Paris Accord.
Alain Grandjean and his colleagues from Carbone 4 will bring you the fundamentals of the subject, scientific bases to clarify the stakes, but also and above all, methodological elements to help you put your company on the path of the 2 degrees.With my fellow professors from ESSEC, we will bring you complementary views and a synthesis of all the contents.
This MOOC will not be a technical MOOC, this MOOC will not be an advocacy MOOC either, this MOOC will be a pedagogical object that will help you have a better understanding of organizational issues and managerial concepts in relation to climate change - a complex scientific topic. It is therefore a question of knowing more about how a company can take climate change into account in its strategy and its operations.
For those who wish to do so, we will provide you with tools and means to take action on these issues of climate change and energy transition.
Unlock the transformative power of artificial intelligence—even if you have zero coding experience. In this module, you’ll break through the jargon, and learn how to translate AI and machine learning into practical business language, ready for use on real projects. You’ll gain the skills to distinguish AI from other forms of automation, recognize genuine business opportunities for AI, and communicate complex ideas with clarity, impact, and confidence. Whether you’re a career-switcher or an early-career professional, this module will help you become an AI champion in your organization, capable of driving meaningful results and collaborating effectively across diverse teams.
Learn how to navigate emotional expression in digital spaces with confidence. This course equips professionals with actionable strategies to reduce miscommunication and strengthen digital connections.
From texts and emails to video conferences and chat platforms, digital communication is part of daily professional life. Yet conveying and interpreting emotion in these spaces can be challenging. This self-paced course, led by Dr. Nicholas Proferes of ASU's School of Social and Behavioral Sciences, explores how to express, decode and manage emotion effectively in digital settings. Learners will explore the foundations of the communication process, examine the unique barriers and biases present in online platforms, and develop skills to overcome miscommunication with empathy and clarity.
Mastering TQM: Apply, Evaluate & Improve Quality Systems
By the end of this course, learners will be able to define quality concepts, analyze quality costs, evaluate philosophies of pioneers like Deming, Juran, and Crosby, apply TQM principles, and implement customer-focused strategies. They will also be equipped to design quality councils, foster employee involvement, build supplier partnerships, and use statistical tools for continuous improvement.
This course offers a comprehensive pathway to mastering Total Quality Management (TQM) by blending theory with practical applications. Learners will benefit from structured insights into the evolution of quality philosophies, measurable tools such as Taguchi’s Loss Function, and real-world frameworks like the Toyota Way and PDCA cycle. With a strong focus on customer satisfaction and employee engagement, the course uniquely emphasizes how organizations can achieve sustainable quality excellence.
Designed for professionals, students, and managers across industries, this course empowers participants to lead quality initiatives, reduce costs, improve processes, and drive organizational growth in both manufacturing and service sectors.
Introduction of basic principles and applications of cybersecurity. Topics include symmetric and asymmetric encryption and decryption algorithms, hashing techniques, digital certificates, digital signatures, message authentication codes, authentication, malware, and security of systems such as networks, operating systems, software, and databases.
Upon successfully completing this course, the student should be able to: describe symmetric and asymmetric cryptographic algorithms, demonstrate security application development skills, compare key distribution algorithms, compare authentication techniques, explain transport layer security, and demonstrate proficiency in the security of systems and applications such as email, networking, database, and operating systems.
이 과정에서는 R로 프로그래밍하는 방법과 효과적인 데이터 분석을 위해 R을 사용하는 방법을 배웁니다. 통계 프로그래밍 환경에 필요한 소프트웨어를 설치 및 구성하는 방법과 고급 통계 언어로 구현되는 일반적인 프로그래밍 언어 개념을 설명합니다. 이 과정은 R 프로그래밍, R로 데이터 읽기, R 패키지 액세스, R 함수 작성, 디버깅, R 코드 프로파일링, R 코드 구성 및 주석 달기를 포함하는 통계 컴퓨팅의 실제 문제를 다룹니다. 통계 데이터 분석의 주제는 실제 사례를 제공합니다.
