By the end of this guided project, you will be fluent in creating Program Gate Review artefacts for the Planning Phase for diverse programs. You will utilise a logical diagramming plan in an agile environment to develop the solution. This will enable you to identify and classify the required components for phase reviews. Furthermore, it will help develop a structural model for learning about the field of Program Management. If you are interested in building up the knowledge leading to this guided project, the following is the link to: [ Developing Programme Management Blueprint with ClickUp] https://www.coursera.org/projects/program-blueprint [Advanced Programme Planning Phases Framework in ClickUp] https://www.coursera.org/projects/program-advanced-planning This Guided Project is essential for individuals wanting to learn about the field, or looking to transition into working in Program Management. This guided project is designed to engage and harness your visionary and exploratory abilities. You will use proven models in an agile environment with ClickUp to engage in a hands-on learning experience.

By the end of this project, you will discover how to create a basic Brand Awareness and Performance survey in Qualtrics. This study will help you gauge the overall success of your brand’s marketing initiatives to date or measure current awareness levels for future campaign launches. The brand is the center of an organization. Therefore, Brand Awareness and Performance studies are often a crucial tool in understanding your target market’s perception of your brand. These studies will help you develop a deep understanding of customer perceptions and help you visualize how customers and prospects feel about key competitors. Upon completing this project, you will be able to design a basic Brand Awareness & Performance survey in Qualtrics. 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.

This is Class 2 of the MOOC Specialization, Become a Sustainable Business Change Agent. In this class you will learn more change agent skills and hear from people who have made changes in their organizations. You will also learn more about green design and sustainability reporting. The skills from this class will help improve products and services in your company or help the company issue its first, or an improved sustainability report.

In this 2 and a half hours long guided project you will learn the basics of Jira automation. You will create automation rules using triggers, conditions and actions to auto assign tasks, apply sub tasks templates to reflect your business processed into your project management. You will add branches applying conditions based on relationships between issues so to automatically update their status depending on completion of their sub-tasks. Finally you will use smart values to interact with Jira information and optimize communication by sending automatic emails depending on events of your project management.

Twitter is a dynamic social media platform that prides itself on furthering conversations in real-time. Known as a platform that features short-form text it is intended to be brief, direct, impactful, and a living source of information. Businesses are increasingly taking part in this conversation and are finding new and different ways to further their brand experience on this increasingly popular platform. In this project, learners will learn how to use Twitter Analytics to analyze tweet engagement using Twitter Analytics. We will briefly cover Twitter basics, and we will discuss deeper topics in engagement measurement and analysis techniques. This is the perfect project for someone who wants to improve engagement and increase businesses' brand presence on Twitter. This may be marketing and sales professionals, customer service and or administrative teams, and many other functions within a business.

Welcome to Strategic Sales Management specialization. This specialization course focus on providing conceptual and practical guidance on sales planning and management. The development of the specialization goes through the different phases of the sales planning process, keeping attention on the connection to the strategy of the company. Concepts discussed in this specialization aim to support the analyses on how to plan sales in alignment with the strategic guidelines of the company. The sales functions are discussed with models and frameworks that support the planning process, which includes assumptions regarding the strategic guidelines, such as aggregate revenue targets, company’s earnings, and expected cash flow from the company’s operations. These variables are all related to the strategy of the company. The target audience of this specialization include professionals with some experience in sales, they might have been promoted to a managing position recently, or they have plans to improve their expertise in the sales area to apply to more challenging positions in the future. Prerequisite for this specialization is general knowledge of business concepts, models, and tools. Professionals who have concluded undergraduate courses of business administration, and also of different areas of knowledge, such as engineering, economics, accounting, and social sciences. It’s also important to emphasize that sales involve a broad range of areas, there are products and services related to agriculture, petrochemical, automobile, aeronautics, chemical, pharmaceutical, medical, insurance, education, retail, and consulting industries, just to mention some examples. That means sales professionals are from all sectors. Therefore, learners of different academic backgrounds may benefit from doing this specialization, which is structured to support sales planning and management from a methodological standpoint. And this approach applies to a diverse range of sectors. The primary learning outcome of this specialization is the improvement of the sales planning and management competencies and skills, by providing a set of concepts, models, tools, and techniques to support the development of the sales plan structure, which will support the sale plan development.

This is the #4 course in the specialization on management consulting. Management consultants are quick learners. When you first join a generalist consulting firm, you are expected to learn core consulting skills and will likely be staffed on projects across industry and functions. You might be on a chemicals pricing project, then a retail cost-reduction project. It’s critical that you learn “how to get smart quickly” and ask smart questions. At the same time, you should develop an armory of tools to create data through client interviews, surveys, benchmarking, and observations.

It's the age of machine learning. Companies are seizing upon the power of this technology to combat risk, boost sales, cut costs, block fraud, streamline manufacturing, conquer spam, toughen crime fighting, and win elections. Want to tap that potential? It's best to start with a holistic, business-oriented course on machine learning – no matter whether you’re more on the tech or the business side. After all, successfully deploying machine learning relies on savvy business leadership just as much as it relies on technical skill. And for that reason, data scientists aren't the only ones who need to learn the fundamentals. Executives, decision makers, and line of business managers must also ramp up on how machine learning works and how it delivers business value. And the reverse is true as well: Techies need to look beyond the number crunching itself and become deeply familiar with the business demands of machine learning. This way, both sides speak the same language and can collaborate effectively. This course will prepare you to participate in the deployment of machine learning – whether you'll do so in the role of enterprise leader or quant. In order to serve both types, this course goes further than typical machine learning courses, which cover only the technical foundations and core quantitative techniques. This curriculum uniquely integrates both sides – both the business and tech know-how – that are essential for deploying machine learning. It covers: – How launching machine learning – aka predictive analytics – improves marketing, financial services, fraud detection, and many other business operations – A concrete yet accessible guide to predictive modeling methods, delving most deeply into decision trees – Reporting on the predictive performance of machine learning and the profit it generates – What your data needs to look like before applying machine learning – Avoiding the hype and false promises of “artificial intelligence” – AI ethics: social justice concerns, such as when predictive models blatantly discriminate by protected class NO HANDS-ON AND NO HEAVY MATH. This concentrated entry-level program is totally accessible to business leaders – and yet totally vital to data scientists who want to secure their business relevance. It's for anyone who wishes to participate in the commercial deployment of machine learning, no matter whether you'll play a role on the business side or the technical side. This includes business professionals and decision makers of all kinds, such as executives, directors, line of business managers, and consultants – as well as data scientists. BUT TECHNICAL LEARNERS SHOULD TAKE ANOTHER LOOK. Before jumping straight into the hands-on, as quants are inclined to do, consider one thing: This curriculum provides complementary know-how that all great techies also need to master. It contextualizes the core technology, guiding you on the end-to-end process required to successfully deploy a predictive model so that it delivers a business impact. LIKE A UNIVERSITY COURSE. This course is also a good fit for college students, or for those planning for or currently enrolled in an MBA program. The breadth and depth of the overall three-course specialization is equivalent to one full-semester MBA or graduate-level course. IN-DEPTH YET ACCESSIBLE. Brought to you by industry leader Eric Siegel – a winner of teaching awards when he was a professor at Columbia University – this curriculum stands out as one of the most thorough, engaging, and surprisingly accessible on the subject of machine learning. VENDOR-NEUTRAL. This course includes illuminating software demos of machine learning in action using SAS products. However, the curriculum is vendor-neutral and universally-applicable. The contents and learning objectives apply, regardless of which machine learning software tools you end up choosing to work with.

By the end of this project, you will create a free account on Microsoft 365, you will get access to Microsoft OneNote, you will create a notebook with sections and pages, you will add content like text, pictures, videos, links, download add-ins, and will even explore Accessibility and translation tools. Your new skills will help you efficiently keep notes all in one place and share them with others.

The Supply Chain Planning course walks learners through the critical first step in Supply Chain Management, planning. In the course project scenario, your company supplies Personal Protective Equipment and ventilators to hospitals and clinics across the US. You have been asked by your company’s executives and state health officials to prepare an analysis of the US, by state and region, identifying locations of highest need for supplies and ventilators. This is called a Supply Plan. Throughout the course you will walk through building the Supply Plan. You'll begin by extracting the needed data then preparing the data for a Supply Plan. You will then create a PivotTable to analyze the data. From here you will learn how to create a set of visualizations and then add these visualizations to a presentation so that you can report on your findings.