In this project, you will create a Dashboard in Power BI. You will get data to bring into a model, build several reports, generate informative charts from each report, then choose powerful visuals to highlight on a Dashboard. Your new skills will help you efficiently summarize important information on a one-page dashboard with visual data.

An actionable leadership improvement plan enables you to leverage strengths and close the gaps on weaknesses. In this course, you will build your own plan that you can put into practice immediately and realize goals within the next two years. It lays the foundation for an evergreen process of selection and prioritization of skills, and action planning for sustained leadership development.

By the end of this project, you will be able to create a simple Gantt chart to manage your next project. You will utilize the free online version of Microsoft Excel to create a Gantt chart from scratch. This Gantt chart will give you a better idea of how bar charts and conditional formatting work. This guide will incorporate some Excel functions to teach you how to use conditional formatting to make your chart and data interactive. In addition, this Gantt chart will allow you to track multiple tasks that run parallel with each other, and will incorporate some unique features such as a weekly view bar to organize dates more efficiently.

Welcome to Leading StandOut Teams: Creating Trust & Support! This course will explore what it means to create the conditions in which a team feels they can trust that everyone is being open and real; how to create the team relatedness that generates a sense of support among team members; and the dynamic of how having faith in your team generates trust. By the end of the course, you will be able to: - Describe what it means to create a team environment of trust and confidence that lets everyone be open and real. - Create a sense of relatedness with your team so that they can count on support from one another. - Learn to model faith in your team and explore strategies and practices that generate trust. Modules Include: One: Teammate Trust. Explore what it means to create the conditions in which a team feels they can trust that everyone is being open and real. Two: Relying on Teammates. Explore how to create the team relatedness that generates a sense of support among team members. Three: Having Your Team Members’ Backs. Explore the dynamic of how having faith in your team generates trust. This is a beginner's course, intended for team leaders with an interest in Leading StandOut Teams. It includes lecture videos by StandOut Strengths Coaches, practice quizzes, graded quizzes, peer-reviewed assignments, discussion prompts, and activity guides to facilitate ongoing learning and provide a structure to make sense of learning so that it can be embedded into real change. To succeed in this course, you should be willing to self-reflect and open to shifting perspectives. Making the effort will result in a positive and fulfilling response.

This course is designed to give you the fundamentals of Project Management. You will learn the basic principles of Project Management by managing a fundraising event for your local farmers market. You will designate responsible team members to help you, build a timeline and see the different ways that you can manage the project. Together, we will walk through not only the documentation, but also the theories and reasoning behind each task. You will learn how to look at a large project and break it down into manageable pieces and then how to build an action plan so that you hit your deadlines with your team. By the end of the course, you will have created a Project Scope document, Stakeholder Responsibility Matrix, sequenced a task list, added task owners, and a explored several popular project views using Project Management software. You will be ready to tackle a project on your own or will be equipped to take a higher-level course in Project Management. 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.

If you want to find out how to begin to scale up a company, this course is for you! This course will guide you through all the key questions you need to ask yourself to prepare to scale up a startup, provide you with the necessary frameworks to begin the scaleup process, and offer insights from real, successful companies who have been in your shoes before and have made the transition. After taking this course, you will be able to: identify the key challenges to scaling up and list possible solutions to these problems; discuss the differences between growing and scaling; offer tips on how to make your company weatherproof (identify risk and offer strategies to mitigate these risks); and explain common best practices for scaling up effectively and efficiently. This course brings together practical advice, real-life examples, and big-picture insights from well-known companies and experts in the field so you can see what has worked for other companies and develop a "toolbox" of scaling solutions. Make your scaleup journey as smooth and surprise-free as possible - with this course, you´ll know the types of issues that arise in most scaleups and learn how to solve them.

The workplace is more diverse than ever before. As the world population grows and our connectivity increases, it is common to work alongside colleagues from different generations, life experiences, cultures, genders, orientations, and religions. The increased diversity coupled with the shift toward remote and hybrid work environments means it's more critical than ever to develop appropriate communication strategies and practices. This course will teach you to identify and adapt your own communication style to not only increase team productivity, but also build bridges with colleagues from all backgrounds. By the end of this course, you will be able to: 1.Identify your own communication style 2. Describe methods to increase effective communication 3. Discuss how changing demographics affect workplace communication 4. Differentiate between the five working generations and their communication preferences 5. Identify the communication benefits of different work environments, such as in-person, virtual, or hybrid 6. Discuss effective techniques for communicating with a diverse workforce 7. Implement a flexing communication strategy to better communicate with one’s workplace team

People are the most valuable asset of any business, but they are also the most unpredictable, and the most difficult asset to manage. And although managing people well is critical to the health of any organization, most managers don't get the training they need to make good management decisions. Now, award-winning authors and renowned management Professors Mike Useem and Peter Cappelli of the Wharton School have designed this course to introduce you to the key elements of managing people. Based on their popular course at Wharton, this course will teach you how to motivate individual performance and design reward systems, how to design jobs and organize work for high performance, how to make good and timely management decisions, and how to design and change your organization’s architecture. By the end of this course, you'll have developed the skills you need to start motivating, organizing, and rewarding people in your organization so that you can thrive as a business and as a social organization.

Taught by Rice University communication faculty from the Rice Center for Engineering Leadership (RCEL). This course covers core topics in oral communication: Communication strategy, content, data visualization, and delivery. You’ll learn key principles in • Creating a communication strategy • Developing a clear message and organizing persuasive content • Creating strong visual support • Presenting data effectively • Presenting professionally and confidently • Handling formal presentations, giving pitches, speaking extemporaneously, managing online presentations, and lowering public speaking anxiety Selected materials courtesy of Communication Faculty at Rice University - all rights reserved.

Machine learning runs the world. It generates predictions for each individual customer, employee, voter, and suspect, and these predictions drive millions of business decisions more effectively, determining whom to call, mail, approve, test, diagnose, warn, investigate, incarcerate, set up on a date, or medicate. But, to make this work, you've got to bridge what is a prevalent gap between business leadership and technical know-how. Launching machine learning is as much a management endeavor as a technical one. Its success relies on a very particular business leadership practice. This means that two different species must cooperate in harmony: the business leader and the quant. This course will guide you to lead or participate in the end-to-end implementation of machine learning (aka predictive analytics). Unlike most machine learning courses, it prepares you to avoid the most common management mistake that derails machine learning projects: jumping straight into the number crunching before establishing and planning for a path to operational deployment. Whether you'll participate on the business or tech side of a machine learning project, this course delivers essential, pertinent know-how. You'll learn the business-level fundamentals needed to ensure the core technology works within - and successfully produces value for - business operations. If you're more a quant than a business leader, you'll find this is a rare opportunity to ramp up on the business side, since technical ML trainings don't usually go there. But know this: The soft skills are often the hard ones. After this course, you will be able to: - Apply ML: Identify the opportunities where machine learning can improve marketing, sales, financial credit scoring, insurance, fraud detection, and much more. - Plan ML: Determine the way in which machine learning will be operationally integrated and deployed, and the staffing and data requirements to get there. - Greenlight ML: Forecast the effectiveness of a machine learning project and then internally sell it, gaining buy-in from your colleagues. - Lead ML: Manage a machine learning project, from the generation of predictive models to their launch. - Prep data for ML: Oversee the data preparation, which is directly informed by business priorities. - Evaluate ML: Report on the performance of predictive models in business terms, such as profit and ROI. - Regulate ML: Manage ethical pitfalls, such as when predictive models reveal sensitive information about individuals, including whether they're pregnant, will quit their job, or may be arrested - aka AI ethics. NO HANDS-ON AND NO HEAVY MATH. Rather than a hands-on training, this course serves both business leaders and burgeoning data scientists alike by contextualizing 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. There are no exercises involving coding or the use of machine learning software. WHO IT'S FOR. This concentrated entry-level program is for anyone who wishes to participate in the commercial deployment of machine learning, no matter whether you'll do so in the role of enterprise leader or quant. 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. 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 specialization 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. PREREQUISITES. Before this course, learners should take the first of this specialization's three courses, "The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats."