The Business and Professional Communications for Success program will provide learners with the essential knowledge to create appropriate business messages and apply proper business writing techniques in their written business communications, all while working in diverse environments. This program also examines the various types of business presentations in the work environment and allows learners to apply their knowledge to create and present their work.

Business Writing Techniques will expand on the different communication styles of business writers. We will discuss business writers’ best practices by providing real-world scenarios and applications such as proofreading and rewriting. Learners will examine how to use the 6 C’s to enhance their business messages. Learners will also discuss the proper etiquette of business writing and examine the use of emoji in business communications.

The Business and Professional Communications for Success program will provide learners with the essential knowledge of effective business communications to aid in their company’s success. Learners will create appropriate business messages through business letters and messaging and apply proper business communications techniques and business writing techniques. Learners will examine the basics of business communication while working in diverse business environments with diverse team members. This program also examines the various types of business presentations in the work environment. It allows learners to apply their knowledge to create and present their work for internal and external communication.

Learners will engage with the fundamentals of business communication. Learners will discover different communication styles and how to address them in a business setting. Learners will also assess their listening styles and emotional intelligence and how both can affect their communication skills.

Want to know how to avoid bad decisions with data?

Making good decisions with data can give you a distinct competitive advantage in business. This statistics and data analysis course will help you understand the fundamental concepts of sound statistical thinking that can be applied in surprisingly wide contexts, sometimes even before there is any data! Key concepts like understanding variation, perceiving relative risk of alternative decisions, and pinpointing sources of variation will be highlighted.

These big picture ideas have motivated the development of quantitative models, but in most traditional statistics courses, these concepts get lost behind a wall of little techniques and computations. In this course we keep the focus on the ideas that really matter, and we illustrate them with lively, practical, accessible examples.

We will explore questions like: How are traditional statistical methods still relevant in modern analytics applications? How can we avoid common fallacies and misconceptions when approaching quantitative problems? How do we apply statistical methods in predictive applications? How do we gain a better understanding of customer engagement through analytics?

This course will be is relevant for anyone eager to have a framework for good decision-making. It will be good preparation for students with a bachelor’s degree contemplating graduate study in a business field.

Opportunities in analytics are abundant at the moment. Specific techniques or software packages may be helpful in landing first jobs, but those techniques and packages may soon be replaced by something newer and trendier. Understanding the ways in which quantitative models really work, however, is a management level skill that is unlikely to go out of style.

Businesses today have access to an increasingly large amount of detailed customer data, and this influx of “big data” is only going to continue. Combined with a detailed history of marketing actions, there is a newfound potential for deriving actionable insights, but you need the tools to do so. Using real-world applications from various industries, this course will help you understand the tools and strategies used to make data-driven decisions that you can put to use in your own company or business.

This valuable data may include in-store and online customer transactions, customer surveys, web analytics, as well as prices and advertising. You’ll also learn how to assess critical managerial problems, develop relevant hypotheses, analyze data and, most importantly, draw inferences to create convincing narratives which yield actionable results. Artificial intelligence and machine learning will be explored as tools to deepen analytical skills and acumen and hone decision making.

This comprehensive exploration into digital marketing analytics tools and techniques is critical knowledge for any marketing influencers, digital marketing analysts and product and brand decision makers within small and medium businesses as well as larger organizations with international reach.

In this course, you will gain an understanding of time-honored financial concepts and rules, and how these can be applied to value firms, bonds, and stocks.

We will cover the time value of money, cost of capital and capital budgeting. You will be using Excel for many process including valuing bonds and stocks, computing NPV and finding IRR.

An introductory finance course that is required for all first-year MBA students at Columbia Business School, the course is taught by a world-class instructor, actively training the next generation of market leaders on Wall Street.

Participants from all backgrounds will be prepared to participate on the ever-evolving financial playing field.

Research from the World Economic Forum (WEF) and Mckinsey shows that AI will increasingly disrupt what we do, who does it and how all work is done – e.g. humans versus machines. On the positive side, AI is expected to add significant growth and value to the world’s economy for the companies and countries that get it. As such, it is more important than ever that all leaders, managers, executives and board members develop their AI skills to compete and prosper in the AI world.

However, most leaders, executives and board members lack the necessary AI education, skills, strategies and tactics to create AI-powered business models with platform and network effects. Further, they don’t understand how AI will impact their customers, employees, investors, operations and product/service offerings.

WHAT TO EXPECT

AI for Leaders features a series of lessons with video lectures, real world case studies, and hands on practice sessions that will help you learn the skills you need to advance your company and career. In addition, you will learn how to leverage today’s AI capabilities to improve your organization’s:

a). Customer offerings and interactions,
b). Employee engagement and capabilities,
c). Operations,
d). Competitive positioning, and
e). The 7 attributes of AI centered leadership.

Finally, our program provides 5 clear steps, which we call PIVOT – that help you and your organization build today’s modern business model – along with a capstone project focused on how you build your own AI powered (autonomous) business model.

WHAT THIS COURSE CONTAINS

To ensure your success as a leader in the AI world, this course contains:

1. 40+ videos
2. Lectures from renowned faculty and business practitioners
3. Real-world case studies
4. 25+ exercises
5. Preeminent articles from world class publications including HBR, Forbes and MITSMR

WHO SHOULD TAKE THIS COURSE

All leaders, board members, executives and team leaders at all types of organizations and at all levels should take this course. Further if you are looking to rise to a new role in your company, this course will arm you with the tools and techniques you need to drive your career and organization into the world of AI powered platforms and join companies like, Amazon, Apple, Alphabet, Uber and Airbnb who are at the forefront of this revolution.

يتولى اقتصاديون من صندوق النقد الدولي مهمة تعريف الدعم بأشكاله وقياس حجمه ومعرفة انعكاساته الاقتصادية والاجتماعية والبيئية، وذلك في القسم الأول من الدورة. وتحاول الدورة في قسمها الثاني أن تحقق هدفين، وهما: استعراض أفضل الأساليب التي تحقق النجاح على صعيد إصلاح دعم الطاقة؛ وشرح أوجه النجاح والإخفاق في سياق تجارب بعض البلدان كما وردت في دراسات الحالة

Although there are some robots you might never get to meet (or might hope you never meet), such as those sent to space, war or rescue situations, many other robots and bots are being developed to populate people’s homes, the online spaces they frequent, their workplaces, and the social spaces they visit.

This course explores how people communicate with robots and bots in everyday life, both now and into the future.

Module 1 discusses the difficulties of defining what a robot is, as well as briefly introducing bots.

Module 2 focuses on bots, chatbots and socialbots in detail, to consider how people communicate with these programs in online spaces, as well as some ethical questions these interactions raise.

Robots in the home are the subject of Module 3, with a discussion of robots designed to act as personal assistants leading into some examples of assistive and care robots, as well as telepresence robots that allow people to interact with one another at a distance through a robot.

Module 4 considers robots at work, from the potential of telepresence robots to enable remote operations, to robots designed to share people’s workspaces, and potentially even take their jobs. One example of a public space where robots might alter people’s working and social lives greatly is on the roads with the development of self-driving vehicles, robots that need to be able to communicate with their passengers as well as with other road users.

In Disability and Digital Media , we will explore the relationship between digital technologies and disability in the Internet age.We will consider:

• the evolving impact of social media on representations of disability;
• the politics of experiencing, embodying, and discussing disability online;
• the presence of disability in memes, viral content, and online culture; and
• the role of accessibility in the digital world.