This course is the first course in a five-course Financial Reporting Specialization that covers the collection, processing, and communication of accounting information (via financial reports) about economic entities to interested parties (i.e., managers and external stakeholders such as stockholders and creditors). To gain the most relevant knowledge from these courses, learners should have taken a basic accounting course prior to this Specialization (which can be done through Coursera courses, such as any accounting course from the Fundamentals of Accounting Specialization: https://www.coursera.org/specializations/accounting-fundamentals). This Specialization focuses on accounting concepts, principles and theory with an emphasis on problems that arise in applying these concepts for external reporting purposes. Specific emphasis is placed on measurement of assets, liabilities, equities and income, as well as disclosure of additional information that may assist users understand the financial reports. After a brief introduction to the course, we will spend time understanding the overall financial accounting structure and standards as well as review the fundamental accounting process used to prepare the financial statements, which will establish a framework for the study of the concepts in the remaining courses in the Financial Reporting Specialization. In this course, we will begin our review of key information included in the Balance Sheet and Income Statement and their related financial disclosures. The Statement of Cash Flows will be introduced briefly with more discussion to follow in later courses of the Specialization. Also, we will provide a cursory review of key concepts involving time value of money as we will finish this course with focus on revenue recognition, including discussion of the new revenue standard. We will review the general approach for recognizing revenue, special issues affecting revenue recognition including long-term construction contracts. In addition, we will discuss and review common ratios used in profitability analysis. The University of Illinois at Urbana-Champaign, consistently ranked as one of the nation's top three accounting programs, now offers a master’s in accounting at a very affordable tuition rate and is completely online. The iMSA is a full Master of Accountancy program and students graduate with an MS that is highly recognized. Try an open course or two, then apply for admission into the credit-bearing version as you may be eligible to take credit-bearing courses during the application process. If you are missing any prerequisites for the full degree, you can complete Coursera courses to demonstrate readiness and strengthen your application for the iMSA. For more information on this exciting iMSA online program, refer to this link: https://www.coursera.org/degrees/imsa

This course presents a gentle introduction into the concepts of data analysis, the role of a Data Analyst, and the tools that are used to perform daily functions. You will gain an understanding of the data ecosystem and the fundamentals of data analysis, such as data gathering or data mining. You will then learn the soft skills that are required to effectively communicate your data to stakeholders, and how mastering these skills can give you the option to become a data driven decision maker. This course will help you to differentiate between the roles of a Data Analyst, Data Scientist, and Data Engineer. You will learn the responsibilities of a Data Analyst and exactly what data analysis entails. You will be able to summarize the data ecosystem, such as databases and data warehouses. You will then uncover the major vendors within the data ecosystem and explore the various tools on-premise and in the cloud. Continue this exciting journey and discover Big Data platforms such as Hadoop, Hive, and Spark. By the end of this course you will be able to visualize the daily life of a Data Analyst, understand the different career paths that are available for data analytics, and identify the many resources available for mastering this profession. Throughout this course you will learn the key aspects to data analysis. You will begin to explore the fundamentals of gathering data, and learning how to identify your data sources. You will then learn how to clean, analyze, and share your data with the use of visualizations and dashboard tools. This all comes together in the final project where it will test your knowledge of the course material, explore what it means to be a Data Analyst, and provide a real-world scenario of data analysis. This course does not require any prior data analysis, spreadsheet, or computer science experience. All you need to get started is basic computer literacy, high school level math, and access to a modern web browser such as Chrome or Firefox.

Vivimos rodeados de proyectos. Prácticamente todas las organizaciones dirigen proyectos, ya sea de manera formal o informal.Los tenemos en casa y en el trabajo. A través de determinados parámetros, principios de planificación y metodologías de ejecución, los proyectos se pueden gestionar de forma eficiente y efectiva. La gestión de proyectos ofrece a las organizaciones (y las personas) el lenguaje y los marcos para organizar proyectos, programar actividades, utilizar recursos y minimizar riesgos. Este es un curso de introducción a los conceptos básicos de la planificación y ejecución de proyectos. Identificaremos los factores que llevan al éxito en este ámbito y aprenderemos a planificar, analizar y gestionar proyectos. Los alumnos repasarán metodologías de vanguardia y evaluarán los desafíos de varios tipos de proyectos.

In the professional realm, most speeches and presentations we give are informative in scope. A scientist needs to explain her recent research findings. A financial officer needs to report on quarterly earnings to his company’s board. A technology professional needs to educate a consumer about a new product. Any time you need to convey ideas or demonstrate a process, you’re dealing with informative speaking. Informative speaking is a fun puzzle. You need to think from the perspective of your audience to identify what they need to hear in order to understand the key ideas. How much does the audience already know? What are the most important elements to convey? How should one convey these ideas with appropriate breadth and depth given the time constraints of the speech? This demands a strategic approach to speech design that we’ll undertake in this class. By the end of the course, you should be able to explain complex ideas vividly and accessibly, design clear and compelling presentation slides, convey your passion for a topic while maintaining your professional credibility, and speak dynamically from notes and/or a manuscript. Learners will record speeches, providing and receiving peer feedback.

In this course, you will learn how to create and implement an effective lead management strategy for your business using HubSpot’s tools. After learning the importance of lead management within the context of the buyer’s journey, you will learn best practices for auditing and mapping out your process as well as for using a sales and marketing SLA. You’ll learn how to organize your leads by both segmenting them and qualifying them within a lead qualification framework. Nurturing relationships with your leads will be a key part of these practices, as well. Next, you’ll learn how to assign values to leads in order to prioritize outreach along with how to quickly assign each lead to the right representative on your team. You’ll learn to use metrics to track your lead management results and report them using HubSpot’s dashboard. Finally, the course will culminate in the application of your skills to build a lead management flow in HubSpot. By the end of this course you will be able to: • Describe the importance of lead management • Create an effective lead management strategy • Segment, qualify and organize leads in HubSpot • Create a lead nurturing email campaign • Prioritize leads with lead scoring in HubSpot • Manage Sales Qualified Leads with Lead Routing • Identify metrics to track lead management results • Report on lead management results • Create a lead management dashboard in HubSpot • Experience and build a lead management flow in HubSpot Regardless of your current experience, this course will teach you the practices you need to create a lead management flow in HubSpot and successfully nurture your lead relationships. This course is intended for anyone interested in jumpstarting their career in sales - whether you’re changing careers and looking for an entry-level role, or want to hone your skills in your current role as a sales representative. It does not require any background knowledge or experience to get started. Throughout the course, you will complete exercises that ask you to apply the skills you have learned in a practical way, such as mapping your lead management process, scoring leads with a worksheet, and creating a lead routing workflow. You will compile your work and submit it as a project at the end of the course.

The final module of the Power of Markets course begins by further exploring firm behavior in imperfectly competitive market settings: how firms with monopoly power can increase profits through price discrimination; and the price-output combinations we can expect firms to select in cases of monopolistic competition and oligopoly. We will also analyze monopolies from an efficiency perspective and look at the effects of imperfect information on firm and consumer behavior. We will next turn to exploring input markets and what determines the demand for an input by a firm, an industry, and the overall market. We will also look at the factors that affect input supply and how the supply of an input interacts with demand to determinant input prices. We will use input market theory to analyze institutions and government policies such as the NCAA sports cartel, the minimum wage, Social Security, and immigration. Finally, we will address the concept of market efficiency and what government can do to promote it as well as how government intervention may diminish it.

This Innovation and Entrepreneurship course focuses on the interconnection between entrepreneurial thinking and innovation. Specifically, we look at models used in Silicon Valley to grow both start-up companies as well as innovation inside large organizations. Bringing together top Haas School of Business, UC Berkeley faculty, this course addresses critical areas for successful growth, including design thinking, open innovation, business models, product-market fit, and financing. This course will teach you how to think like an entrepreneur and provides the models, tools and frameworks to further develop your business or idea. An emphasis will be placed on the IT space. In this second part, From Design Thinking to Funding, the following areas are included: design thinking; innovation cycle process; business modeling; and funding.

‘Megatrends’ heavily influence today’s organisations, industries and societies, and your ability to generate insights in this area is crucial to your organisation’s success into the future. This course will introduce you to analytical tools and skills you can use to understand, analyse and evaluate the challenges and opportunities ‘megatrends’ will inevitably bring to your organisation. Via structured learning activities you will explore how these trends can be addressed through sustainability-oriented innovation. You will be introduced to key data analytics concepts such as systems thinking, multi-level perspectives and multidisciplinary methods for envisioning futures, and apply them to specific real-world challenges you and your organisation may face. And there’ll be a focus on future-proofing skills such as teamwork, collaboration with diverse stakeholders and accounting for judgements made within ethical decision-making frameworks.

This course is designed to provide you with basic working knowledge for using Excel spreadsheets for Data Analysis. It covers some of the first steps for working with spreadsheets and their usage in the process of analyzing data. It includes plenty of videos, demos, and examples for you to learn, followed by step-by-step instructions for you to apply and practice on a live spreadsheet. Excel is an essential tool for working with data - whether for business, marketing, data analytics, or research. This course is suitable for those aspiring to take up Data Analysis or Data Science as a profession, as well as those who just want to use Excel for data analysis in their own domains. You will gain valuable experience in cleansing and wrangling data using functions and then analyze your data using techniques like filtering, sorting and creating pivot tables. This course starts with an introduction to spreadsheets like Microsoft Excel and Google Sheets and loading data from multiple formats. With this introduction you will then learn to perform some basic level data wrangling and cleansing tasks and continue to expand your knowledge of analyzing data through the use of filtering, sorting, and using pivot tables within the spreadsheet. By performing these tasks throughout the course, it will give you an understanding of how spreadsheets can be used as a data analysis tool and understand its limitations. There is a strong focus on practice and applied learning in this course. With each lab, you will gain hands-on experience in manipulating data and begin to understand the important role of spreadsheets. Clean and analyze your data faster by understanding functions in the formatting of data. You will then convert your data to a pivot table and learn its features to make your data organized and readable. The final project enables you to show off your newly acquired data analysis skills. By the end of this course you will have worked with several data sets and spreadsheets and demonstrated the basics of cleaning and analyzing data all without having to learn any code. Getting started with Excel is made easy in this course. It does not require any prior experience with spreadsheets or coding. Nor does it require downloads or installation of any software. All you need is a device with a modern web browser, and ability to create a Microsoft account to access Excel online at no-cost. However if you already have a desktop version of Excel, you can follow along quite easily as well.

Are you satisfied with your career? Where do you see yourself in the future? No matter where you are on your professional journey, careful planning will help you reach your goals. This course will help you adapt to rapidly evolving job markets by enhancing your self-knowledge and confidence to explore wider career opportunities. You will create a career development plan, encompassing your career goals, skills and knowledge development for your current and future jobs, and learn how to make the most of your strengths, talents, and experience. You’ll receive valuable guidance based on practical suggestions, theoretical models and current empirical evidence. Via structured learning activities you will gain an appreciation that career planning and management is an ongoing, rewarding process of assessing career identity, setting new learning goals and career visions, and celebrating accomplishments as you develop.