This course is a partnership between the leading content marketing authority, Copyblogger, and UC Davis Continuing and Professional Education. In this course, you will learn the core strategies content marketers use to acquire and retain customers profitably. Specifically, you will learn how to develop, organize and implement a content marketing strategy, analyze and measure the effectiveness of content marketing, write compelling copy, use a strategic framework when writing, and build your professional brand and authority through content marketing. You will also learn how to put the ideas presented to you into action and build your own personal brand through content marketing.

SAP Customer Engagement and Discovery is the third course in the SAP Technology Consultant Professional Certificate program. The course introduces you to SAP Activate methodology and teaches you how to engage with customers and work with them in exploring how to achieve their transformation goals. You’ll learn how to gather information and insights about a customer’s business, technology, and data. You’ll investigate SAP’s fit-to-standard analysis approach. You’ll consider how to accurately understand and assess a client’s needs. And you’ll look at SAP’s Customer Journey Roadmap, which includes how to identify and communicate the value of a solution to stakeholders and get signoff. By the end of this course, you will be able to: Describe the key elements of the SAP Activate methodology and Customer Engagement Model. Explain the program planning and set up activities for a typical SAP customer project. Explain what a technology consultant does in the Customer Engagement and Discovery phase of SAP projects. Explain how to gather relevant information and insights about customer strategy, objectives, processes, technology, and data. Describe how to conduct discovery workshops and interviews. Explain SAP's fit-to-standard approach and key preparation activities and develop a Customer Journey Roadmap. Identify and communicate the business value of a proposed SAP solution.

By the end of this guided project, you will be able to use the Internal/External Competitive Profile Matrix to analyze your industry and identify opportunities to create a competitive advantage for your company. The Matrix is a strategic management tool that enables you to benchmark you company in relation to competition and then identify the relative strengths and weaknesses of all the competitors based on external and internal factors. The Internal/External Competitive Profile Matrix was developed to address the limitations on the traditional Competitive Profile Matrix. Weaknesses such as subjective assigning of weight and raking. Therefore, the External/Internal Competitive Profile Matrix allows uniform weight, and force raking to provide a more comprehensive analysis and decision-making. To demonstrate the application of the Matrix, we will use a spreadsheet to analyze a division of a Fast-Food company. Example of the case study would empower you to use the model to analyze your company or any other company of your choice. The project is for business leaders who want have a deep insight on their competitive environment and how their company fare relative to competition. Also, for strategist who are interested in helping organization in making informed strategic decisions. At the end of the project, you will be able to use the Matrix to analyze your company, and make informed decisions to create a competitive advantage

After successfully completing this project, you will have created a visually appealing flyer using Libre Writer. While building a flyer, you will use various features in Writer. You will use the insert feature to insert a picture in a document then modify it. Other features you will use include applying styles to text and formatting text. You will insert a numbered list, convert it to a bulleted list, and then modify the bullets.

Welcome to Course 3 of the E-Marketing Specialization: Mobile Marketing Optimization Tactics, and Analytics. Our final course will start with an introduction to mobile marketing. The remaining modules will provide you with the knowledge needed to increase sales, boost engagement, and interpret website analytics. This course will culminate in a peer-reviewed activity, in which you will have the opportunity to apply all the skills you have learned throughout the previous courses in this series. You are highly encouraged to use this course experience to begin building a digital marketing plan for your current or future business. The activities in this course are all designed to guide you through different sections of a digital marketing plan. Our learning goals for this course are to: - Identify the elements of a mobile marketing strategy and examine the various considerations associated with choosing a mobile platform - Explore the various methods to enhance a mobile experience - Analyze and optimize marketing efforts to improve business outcomes - Develop a digital marketing plan designed to meet your goals and objectives

In this course, you will use business and industry analysis to understand companies, projects, business models, and financing proposals. You will then prepare qualitative risk analysis for specific companies to use as the basis for financial analysis, project analysis, and risk decisions. Lastly, you will understand how to use financial ratios and financial metrics to evaluate a company or project’s profitability, balance sheet, capital structure, and cash flow to assess overall financial performance and risk profile.

Are you interested in sport sponsorship? Would you like to understand which actors participate in sport sponsorship? Would you like to know the latest and innovative proposals that are arising in the sport sponsorship world? Are you interested in learning and connecting with sports enthusiasts/students from all around the world? The Universitat Autònoma de Barcelona and the Johan Cruyff Institute jointly offer this introductory course in sports sponsorship for all those interested in knowing how to create a sponsorship plan for a sports event. There are no special requirements to take the course. Thanks to this course you will be capable of facing a real challenge: the activation of a sponsorship plan for the Johan Cruyff Foundation.

By the end of this project, you will create an animated GIF to be used in social media platforms like Instagram, Facebook, and Twitter using Adobe Photoshop CC. Throughout the tasks, you will be able to Create Video layers, create animation from layers, import videos to the photoshop timeline, create tradition-like animation, and finally, you will know how to export this animation in GIF format with different sizes and dimensions to fit different social media platforms and posts types like reels, stories, and normal posts. This guided project is for intermediate designers since we will develop from the basic knowledge of designing tools in photoshop like brush tools, Layer styles, and drawing basic shapes, also designers who are familiar with Animation and Timeline panel. This project will provide you with the ability to create Animated GIFs that can be used on social media platforms based on the amazing designing capabilities in photoshop which merge the fourth dimension to your creativity which is TIME. Knowing how to make animated visuals elevates your opportunities in many promising fields like e-learning, Retail business, SEO, and of course Social media! Photoshop is a very powerful designing tool with multiple built-in image processing tools and effects that can elevate your production, especially with the animation features. Photoshop also is compatible with all other Applications from Adobe which makes the integration more efficient and effective.

This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results. This is a focused course designed to rapidly get you up to speed on the process of data analysis and how it can be managed. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward. After completing this course you will know how to…. 1. Describe the basic data analysis iteration 2. Identify different types of questions and translate them to specific datasets 3. Describe different types of data pulls 4. Explore datasets to determine if data are appropriate for a given question 5. Direct model building efforts in common data analyses 6. Interpret the results from common data analyses 7. Integrate statistical findings to form coherent data analysis presentations Commitment: 1 week of study, 4-6 hours Course cover image by fdecomite. Creative Commons BY https://flic.kr/p/4HjmvD

Over-utilization of market and accounting data over the last few decades has led to portfolio crowding, mediocre performance and systemic risks, incentivizing financial institutions which are looking for an edge to quickly adopt alternative data as a substitute to traditional data. This course introduces the core concepts around alternative data, the most recent research in this area, as well as practical portfolio examples and actual applications. The approach of this course is somewhat unique because while the theory covered is still a main component, practical lab sessions and examples of working with alternative datasets are also key. This course is fo you if you are aiming at carreers prospects as a data scientist in financial markets, are looking to enhance your analytics skillsets to the financial markets, or if you are interested in cutting-edge technology and research as they apply to big data. The required background is: Python programming, Investment theory , and Statistics. This course will enable you to learn new data and research techniques applied to the financial markets while strengthening data science and python skills.