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This course offers a comprehensive roadmap to turn your computer science education into a successful and rewarding career. Designed to guide you from academic preparation to industry success, it covers essential aspects of career development, skill optimization, and seamless integration into the computer science workforce. You will learn how to align your educational background with the ever-evolving demands of the computer science industry. Explore diverse career paths, from software development and data science to cybersecurity, and discover the power of networking and continuous learning to stay ahead in the field. Whether you are a computer science student, a career shifter, or a professional looking to advance, this course will equip you with the strategies and tools to achieve your career aspirations. This course is for anyone aiming to succeed in computer science, including students, career shifters, and industry professionals seeking advancement. Academic advisors and educators will find it helpful for guiding students, while HR professionals can better understand the tech talent pipeline and industry growth opportunities. Participants should have a basic understanding of computer science principles and a strong interest in a tech career. Familiarity with the tech industry is helpful, but the course focuses on career growth and development. A willingness to network and adapt is critical for success in this evolving field. By the end of this course, learners will be able to craft a strategic career plan that aligns with their professional and personal goals in computer science. They will also be equipped to leverage networking and personal branding techniques to effectively navigate the competitive job market. Furthermore, learners will develop strategies for continuous skill enhancement to stay relevant and competitive in the ever-changing tech landscape. Finally, they will master modern tools and platforms to streamline their job search efforts, maximizing their opportunities for success in the industry.

In the rapidly evolving business environment, precision in bookkeeping is not just a requirement but a cornerstone for financial integrity and organizational success. This course caters to bookkeepers, accountants, financial analysts, and professionals entrusted with managing financial records and reporting. Whether you seek to elevate your current role or aspire to a career in finance, this course equips you with invaluable skills to cultivate a culture of precision and reliability in financial management practices. A fundamental understanding of accounting principles and financial management is recommended for participants. This course is tailor-made solution to equip participants with an in-depth understanding and practical skills in maintaining precise financial records, conducting thorough account reconciliations, and creating effective financial reports. Through this learning journey, you will understand the methodologies that ensure accuracy and compliance in financial statements, thereby empowering you to communicate financial insights effectively within your organization. Whether you are aiming to enhance your current role or aspire to a career in finance, this course offers valuable takeaways that will help you foster a culture of precision and reliability in financial management practices.

In a world where vast amounts of data are generated every second, understanding database structures and the art of transforming data into intelligence is increasingly crucial for those looking to excel in this realm. To embark on this journey, there is no better starting point than Business Intelligence (BI), covering everything from data storage to the creation of engaging dashboards. This course not only imparts the fundamental knowledge of BI but also provides data warehousing techniques and the utilization of platforms for crafting interactive dashboards, all geared towards optimizing business decision-making processes. This course is designed for aspiring Data Analysts, BI Professionals, Business Strategy Professionals, Marketing Professionals, and Information Management Professionals seeking to harness the power of data for informed decision-making. Basic knowledge of business processes and a keen interest in Business Intelligence, Visualization Tools, and Data Warehousing are recommended to maximize your learning experience.

Each successful student in this course will become familiar with hypervisors, virtualization terms, infrastructure considerations, and appropriate use cases. While designed to give an overview of today's Virtualization technologies and methods, students in the course will gain enough practical knowledge to begin deploying various hypervisors and virtual machine environments using current industry standard platforms. Required Textbook: Various handouts will be provided Other Required Materials: Laptop with 8GB or Higher RAM, quad-core or higher CPU, HDD with 300-500GB Software Requirements: Oracle Virtual Box, Various hypervisors downloaded from the internet

This course is aimed at preparing individuals to gain knowledge, skills, and abilities to demonstrate the knowledge for managing Platform as a Service (PaaS) in the Cloud. Students will learn to deploy, operate, and maintain cloud platforms for storing, processing, and transferring information with architecture design principles and a structured approach. Students will also learn the shared responsibility model and cloud security best practices to secure PaaS platforms for the application-hosting environments.

This course is aimed at preparing individuals to gain knowledge, skills, and abilities to demonstrate the knowledge for managing Platform as a Service (PaaS) in the Cloud. Students will learn to deploy, operate, and maintain cloud platforms for storing, processing, and transferring information with architecture design principles and a structured approach. Students will also learn the shared responsibility model and cloud security best practices to secure PaaS platforms for the application-hosting environments.

Who are your customers? What are they like? How do they interact with your business? This Short Course was created to help analysts better understand their customer behavior through the power of machine learning. In this course, you will apply two different machine learning techniques to segment customers according to their purchasing behavior and provide actionable insights for each group. Along the way, you'll also examine some other retail case studies, including web visitor analysis for marketing and store clustering for logistics. By the end, you'll be able to use customer purchase data to group customers using machine learning, analyze your results to extract business insights and apply multiple types of machine learning to generate business value. This course is unique because it focuses strongly on interpreting your data within a retail context and supports you in identifying opportunities for machine learning in your workplace. To be successful in this project, you should already be familiar with Python Pandas for data manipulation, filtering and aggregation. You should also have some experience with basic principles of data analysis, like histograms and summary statistics.

Are you ready to take your digital marketing skills to new heights and boost your brand's visibility? This comprehensive course is tailored to help learners enhance brand awareness, engage target audiences effectively, and achieve meaningful results for their businesses or organizations. By completing this course, you'll gain the knowledge and skills necessary to: - Analyze brand identity components and craft impactful messaging strategies. - Identify suitable communication channels to reach specific target audiences. - Utilize basic social media metrics to measure performance and enhance audience engagement. - Outline a sustainable content strategy for long-term success in digital marketing efforts. This project-based course offers hands-on experience and practical insights to help you master the art of digital marketing and elevate your brand awareness initiatives. Prior knowledge of popular social media platforms and basic social media metrics is recommended for optimal engagement and learning outcomes.

In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps analyze customer data and predict product sales. You also learn how to identify, categorize, and develop new customers using customer data in BigQuery. Using hands-on labs, you experience how Gemini improves data analysis and machine learning workflows. Duet AI was renamed to Gemini, our next-generation model.

In the rapidly evolving realm of game development, the transition from fundamental concepts to mastering advanced platforms like Unreal Engine marks a pivotal journey for beginners and intermediate enthusiasts alike. This short course is crafted to demystify this path, offering a structured and immersive learning experience that bridges the gap between basic game design principles and the complexities of modern game engines. This course is tailored for aspiring game developers, computer science students, hobbyists, indie game developers, and educators eager to delve into the exciting world of game design and development. Whether you're a novice exploring the fundamentals or an enthusiast seeking to enhance your skills, this course offers valuable insights and practical knowledge applicable to game creation across various platforms. Participants should possess basic computer literacy and familiarity with using web browsers and software applications. An interest in learning about game design and development is essential to fully engage with the course content. With these fundamental elements in place, participants can embark on a rewarding journey into the intricacies of game creation and development. Throughout this course, learners will identify fundamental concepts and principles of game design and the game development process. They'll create and deploy simple games using HTML5, focusing on game loops, graphics, and sound. Additionally, they'll explore operations within the Unreal Engine, navigating its interface and utilizing its tools for game development. By course end, participants will acquire practical skills in Unreal Engine to design, develop, and complete a basic game project, empowering them to bring their creative visions to life in the digital realm.

Understanding the basics of financial strategies, portfolio design, and risk management is key to making informed investment decisions and building a solid financial foundation. This knowledge is fundamental for anyone looking to navigate the financial markets effectively and crafting portfolios that are resilient to market fluctuations. The importance of this understanding ensures that their financial decisions align with their long-term goals and risk tolerance. The process of designing a portfolio to meet specific investment goals is a critical step that requires careful consideration of various factors, including risk tolerance, investment horizon, and financial targets. By examining real-life examples and actual portfolios, one can gain insight into the practical application of theoretical principles, learning how different strategies can be tailored to achieve desired outcomes. Finance professionals, from investment bankers to finance students, are united in their passion for navigating the financial landscape. With diverse backgrounds, they strive to optimize strategies and enhance portfolio performance, whether for high-net-worth clients or market analysis. Their commitment to mastering finance is evident in their collaborative, innovative approach and dedication to continuous learning. To engage in portfolio analysis and management effectively, individuals need a strong grasp of financial concepts including asset valuation, market dynamics, and investment instruments. Understanding investment principles like diversification, asset allocation, and risk-return trade-offs is crucial. Proficiency in financial mathematics and statistics is necessary for applying quantitative methods in portfolio optimization and risk assessment, facilitating professional growth in finance.

This course explores the integration of Flexible Manufacturing Systems (FMS) with Lean Manufacturing principles, emphasizing how a lean transformation facilitates robotics and automation. Participants gain a solid understanding of FMS and Lean principles, delve into Lean tools integration within FMS, and explore robotics and automation integration for enhanced adaptability and precision in manufacturing. Through interactive video lectures, case study analyses, and scenario-based learning activities, participants acquire hands-on skills in optimizing manufacturing processes. Real-world examples highlight successful implementations of FMS, Lean principles, robotics, and automation, fostering skill-building and empowering participants to drive continuous improvement in manufacturing environments. Designed for manufacturing engineers, operations managers, lean practitioners, and robotics enthusiasts, this intermediate to advanced course offers practical problem-solving experiences and critical analysis of manufacturing scenarios. Pre-requisites include a basic understanding of manufacturing principles and familiarity with Lean concepts, though not mandatory.