Being a successful leader in complex technical organization requires being ultimately accountable for your team’s performance and meeting commitments to all your stakeholders. This second Leading Technical Organizations course, "Accountability and Employee Engagement", explores how organizational leaders use different decision-making processes for different situations and that they are ultimately accountable for all results. You will also learn how a company’s culture affects strategy, risk and meeting stakeholder commitments. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.

By the end of this project, you will understand use cases for conducting forecasts in your workplace and be able to confidently conduct a trend forecast in any spreadsheet software. You will also understand when it is necessary to refine a model to improve the accuracy of forecasted trends. There are many times when having a crystal ball might be useful and it’s natural to leverage trusted predictions of future outcomes to prepare and drive best results. Predictions come our way in the form of the forecasted data we consume regularly in our personal and business lives. This data covers everything from the weather to projected investment returns. At work we use forecasted data for a multitude of purposes including developing strategies, budgets, to provide the right amount of resources to meet demand, and to create the best customer experience possible. In this course, you will build baseline prediction skills with statistical forecasting by designing, creating, and interpreting a sales trend forecast. You will do this as we work side-by-side in the free-to-use software Google Sheets. 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.

With tens of thousands of jobs in technology sales available, this is a rapidly emerging opportunity that needs sharp people to make critical connections between technical solutions and technical buyers, company owners, and decision-makers. The rapid growth in artificial intelligence, blockchain, cloud computing, cyber security, Internet of Things, and more requires effective sales professionals to help bring these products and services to market. Imagine helping transform an industry of business customers from traditional computers and large on-premise storage rooms littered with vulnerabilities and cyber threats to technologically advanced, low-cost, scalable technology and proven secure environments. With expert-led training and practice in this course, you’ll have the opportunity to confidently drive revenue for your employer and your customers.

Effective planning isn’t just an annual top-down strategic planning and budgeting exercise. To adapt in the turbulent global economy, successful organizations plan in real-time, across the organization, at all times. By leveraging a Connected Planning approach and technology, organizations around the world are finding ways to not only survive, but thrive. In this course, you’ll explore examples of how Connected Planning transforms the way organizations do business. Using real-life case studies from the Finance, Sales, Supply Chain, and Human Resources functions, you’ll see a wide range of Connected Planning examples and benefits. Most significantly, Connected Planning is cross-functional, which generates even greater impact for an organization. By the end of this course, you’ll be able to: • Explain how Connected Planning provides the link between strategic planning and operational execution • Describe a range of ways that organizations apply Connected Planning within and across functions • Articulate the benefits of Connected Planning This course is presented by Anaplan, provider of a leading technology platform that is purpose-built for Connected Planning.

In this course, you will learn about what the world’s number one Customer Relationship Manager (CRM) system has to offer. You will begin this course by understanding the components that Salesforce leverages to make it an optimal system. You will learn about the basics in Lightning for Sales, Community Cloud and Marketing, and understanding how to secure your Salesforce Organization and Manage Permissions. These tools will serve as building blocks to implementing Salesforce into any organization. The course includes in-depth readings and practical application activities within Salesforce's Trailhead education platform, peer discussion opportunities, demonstration videos, and peer review assignments.

In this course, the instructor will discuss various uses of regression in investment problems, and she will extend the discussion to logistic, Lasso, and Ridge regressions. At the same time, the instructor will introduce various concepts of machine learning. You can consider this course as the first step toward using machine learning methodologies in solving investment problems. The course will cover investment analysis topics, but at the same time, make you practice it using R programming. This course's focus is to train you to use various regression methodologies for investment management that you might need to do in your job every day and make you ready for more advanced topics in machine learning. The course is designed with the assumption that most students already have a little bit of knowledge in financial economics and R programming. Students are expected to have heard about stocks and bonds and balance sheets, earnings, etc., and know the introductory statistics level, such as mean, median, distribution, regression, etc. Students are also expected to know of the instructors' 1st course, 'Fundamental of data-driven investment.' The instructor will explain the detail of R programming. It will be an excellent course for you to improve your programming skills but you must have basic knowledge in R. If you are very good at R programming, it will provide you with an excellent opportunity to practice again with finance and investment examples.

Though the concept of personal branding isn't new, questions remain about how to create one and, more importantly, what it means to maintain and inhabit that brand. Learners will: o Understand both what personal branding means and what it means to inhabit their brand o Establish themselves on at least three social media platforms o Create a mission statement for their personal brand o Build a board of directors for their brand o Become familiar with the basics of digital security and reputation management o Create a system for on-going brand maintenance Join instructor Kimberley R. Barker as she provides a warm, supportive atmosphere in which learners are encouraged to intensively explore themselves in order to create a personal brand that authentically and effectively communicates their values and professional gifts. Together we will build a strong community in which to provide encouragement and feedback, and support each other as learners pursue their goal of successful brand creation.

This course is designed to help you, as a strategist of a foreign company, better understand how to develop your China strategy. Specifically, after studying China’s changing strategic landscape, you will focus on mastering three strategic issues: who – the major players in China, how – the entry modes, and where – the location strategy for your China business. This course is aimed to deliver updated knowledge and real experiences of developing China strategy.

In this course, the instructor will discuss the fundamental analysis of investment using R programming. The course will cover investment analysis topics, but at the same time, make you practice it using R programming. This course's focus is to train you to do the elemental analysis for investment management that you might need to do in your job every day. Additionally, the study note to do using Python programming will be provided. The course is designed with the assumption that most students already have a little bit of knowledge in financial economics. Students are expected to have heard about stocks and bonds and balance sheets, earnings, etc., and know the introductory statistics level, such as mean, median, distribution, regression, etc. The instructor will explain the detail of R programming for beginners. It will be an excellent course for you to improve your programming skills. If you are very good at R programming, it will provide you an excellent opportunity to practice again with finance and investment examples. Professor Youngju Nielsen creates the course with the assistants of Keonwoo Lim and Jeeun Yuen. =========================================================================================== Coursera Course recommendations before this course for those who are not familiar with basic R programming: <Getting Started with R> https://www.coursera.org/projects/getting-started-with-r <Introduction to Business Analytics with R> https://www.coursera.org/learn/business-analytics-r <Statistics with Python > https://www.coursera.org/specializations/statistics-with-python

Discounted cash flow method means that we can find firm value by discounting future cash flows of a firm. That is, firm value is present value of cash flows a firm generates in the future. In order to understand the meaning of present value, we are going to discuss time value of money, first. That is, the value of $100 today is different from the value of $100 a year later. Then, what should be the present value of $100 that you are going to receive in 1 year? How about the value of $100 dollars that you are going to receive every year for next 10 years? How about forever? After taking this course, you are going to be able to find the present value of these types of cash flows in the future. Unlike most of finance courses, in this course, you are going to learn how to use excel to find present value of future cash flows. In addition to the present value, you are also going to learn how to find future value given investment; interest rate given investment and future cash flows, payments given interest rates, number of periods to wait given investment and interest rate, and so on. After learning the concept and how to find the time value of money, you are going to apply this to real world examples and company valuation. After taking this course, you will be ready to make an estimate of firm value by discounting its cash flows in the future.