12,051 courses
In this course, Peter Kenez, Professor Emeritus at UC Santa Cruz, explains the events of modern Russian history and introduces its most significant actors—from Vladimir Lenin to Vladimir Putin.
This is a self-paced lab that takes place in the Google Cloud console. In this lab introduces you will use the gcloud CLI tool to set up and configure command features of Cloud Identity and Access Management.
This comprehensive course offers learners a deep dive into the world of IoT systems and their integration with Industrial Automation. Uncover the historical roots and architectural nuances of IoT, emphasizing the pivotal role of sensor technologies and diverse communication tools. Through this exploration, participants will establish a solid foundation in IoT concepts, understanding how its components collaborate, exploring various sensor types, and evaluating communication protocols. The course then extends its focus to Industrial Automation, shedding light on its far-reaching impact across various sectors. From the core components of Industry 4.0 to the practical applications of automation in manufacturing and logistics, participants gain valuable insights into the transformative technologies driving industrial progress. This dual exploration sets the stage for a holistic understanding of how Industrial Automation and IoT collaborate, shaping the future of industries. This introductory course is designed for all learners interested in building a strong foundation for IoT systems and industrial automation concepts. The course imparts best practices for navigating complexities in data management, analytics, security, and privacy concerns, providing practical insights crucial for safeguarding and optimizing IoT implementations. By the course's conclusion, participants will possess the skills and knowledge necessary to navigate the evolving landscapes of IoT systems and Industrial Automation effectively.
By the end of this course, learners will be able to apply Bayesian statistics for decision-making in both business and healthcare contexts, implement probabilistic models in Excel, and perform advanced A/B and multi-variant testing using Python. The course begins with a hands-on introduction to Bayesian reasoning in Excel, where you will learn to structure datasets, calculate joint and conditional probabilities, and update prior probabilities with real-world healthcare examples. You will practice building Bayesian probability tables, interpreting repeated test outcomes, and analyzing predictive performance for evidence-based decision-making. Next, the course transitions into computational Bayesian statistics with Python. You will gain practical experience with Markov Chain Monte Carlo (MCMC) sampling, approximate posterior distributions using PyMC, and explore hierarchical models for A/B and multi-variant testing. What sets this course apart is its dual approach: simple Excel-based foundations for immediate application, followed by advanced Python implementations for scalable experimentation and machine learning integration.
This course will be useful to anyone looking to become an entry-level network administrator. You will learn basic concepts related to networking, like topologies, models, and protocols. You'll also configure switching using techniques like virtual local area networks (VLANs). Then, you'll configure IP addressing using IPv4 and IPv6, and configure static and dynamic routing. This is the first course in a multi-course Specialization. All of the courses in this Specialization are meant to be used alongside the optional Boson NetSim® labs, which are sold separately on the Logical Operations store: https://store.logicaloperations.com/cisco-solutions-implementation-and-administration-ccna-200-301-lab-environment.html. Use of these labs is optional, although they are highly recommended due to the significant benefit that hands-on practices brings to the learning experience.
In this comprehensive overview of planned giving, you’ll gain an introduction to the basic terminology and concepts in the field as well as an overview of each planned giving vehicle. Learn to identify and assess prospective donors, recognize planned giving benefits to your donors, match a donor’s interests and needs with the appropriate planned giving options, and structure a successful solicitation. You’ll understand the importance of administration of planned gifts to ensure compliance with policies and fulfillment of obligations to the donor. Apply your knowledge by developing a multi-step donor strategy and a marketing strategy, working on case studies, networking, and analyzing success factors.
This course is for you if you are looking to dive deeper into Six Sigma or strengthen and expand your knowledge of the basic components of green belt level of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes and performance. This course will take you deeper into the principles and tools associated with the "Analyze" phase of the DMAIC structure of Six Sigma. It is highly recommended that you complete the "Yellow Belt Specialization" and the courses "Six Sigma and the Organization (Advanced)" and "Six Sigma Advanced Define and Measure Phase" before beginning this course. In this course, your instructors will introduce you to, and have you apply, some of the tools and metrics that are critical components of Six Sigma. This course will provide you with the advanced knowledge of hypothesis testing and design of experiments as they are associated with Six Sigma and Lean. Every module will include readings, videos, and quizzes to help make sure you understand the material and concepts that are studied. Registration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Green Belt Handbook (2nd edition). The companion text is NOT required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly-recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ).
People are social creatures and the modern Internet reflects that. Technology has made collaboration at a distance possible in new ways that present their own set of challenges. This course will introduce you to the major challenges and opportunities for creating online communities. What does the future hold? Learn how social computing can create collaboration experiences that go beyond what’s possible face to face.
In today’s data-driven world, businesses have unparalleled access to customer information, enabling them to develop strategies that foster loyalty, enhance retention, and boost profitability. This course examines how firms leverage customer data to establish lifetime connections, maximize customer equity, and optimize their marketing investments. Through a deep dive into customer lifetime value (CLV), customer equity, and customer relationship concepts, you will gain insights into the metrics and models that drive effective decision-making.
Master mobile marketing strategies, mobile advertising, and campaign optimization techniques to effectively engage today’s mobile-first audiences. Learn how businesses use mobile technologies, apps, SMS campaigns, and mobile analytics to deliver personalized customer experiences and improve marketing performance. This course provides a practical introduction to mobile marketing and explains how mobile technologies transformed digital communication and customer engagement. You’ll explore the foundations of mobile marketing, understand the rapid growth of mobile devices and networks, and learn how businesses create structured marketing strategies supported by ethical policies and data-driven decision-making. Through structured lessons and practical examples, you’ll examine key mobile marketing channels including SMS campaigns, mobile websites, mobile applications, mobile advertising, social media marketing, and email marketing. The course also explores how businesses use these channels to create interactive customer experiences and strengthen brand engagement on mobile devices. In addition, you’ll learn advanced concepts such as mobile commerce, user behavior analysis, campaign optimization, and ROI measurement to improve mobile marketing effectiveness. Real-world case studies help demonstrate how organizations successfully implement and optimize mobile campaigns in competitive digital markets. By the end of the course, you’ll be able to confidently analyze, design, and optimize mobile marketing strategies that improve customer engagement, campaign performance, and business growth in modern mobile environments.
Building on the course Programming Fundamentals, this course will teach you how to write code by first planning what your program should do—an important approach for novice and professional programmers. You will learn how to compile and run your program, and then how to test and debug it. This course builds on the Seven Steps you have already learned and provides a framework for systematically testing for problems and fixing them, so you can find and fix problems efficiently.
Have you ever had the perfect data science experience? The data pull went perfectly. There were no merging errors or missing data. Hypotheses were clearly defined prior to analyses. Randomization was performed for the treatment of interest. The analytic plan was outlined prior to analysis and followed exactly. The conclusions were clear and actionable decisions were obvious. Has that every happened to you? Of course not. Data analysis in real life is messy. How does one manage a team facing real data analyses? In this one-week course, we contrast the ideal with what happens in real life. By contrasting the ideal, you will learn key concepts that will help you manage real life analyses. This is a focused course designed to rapidly get you up to speed on doing data science in real life. 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 “perfect” data science experience 2. Identify strengths and weaknesses in experimental designs 3. Describe possible pitfalls when pulling / assembling data and learn solutions for managing data pulls. 4. Challenge statistical modeling assumptions and drive feedback to data analysts 5. Describe common pitfalls in communicating data analyses 6. Get a glimpse into a day in the life of a data analysis manager. The course will be taught at a conceptual level for active managers of data scientists and statisticians. Some key concepts being discussed include: 1. Experimental design, randomization, A/B testing 2. Causal inference, counterfactuals, 3. Strategies for managing data quality. 4. Bias and confounding 5. Contrasting machine learning versus classical statistical inference Course promo: https://www.youtube.com/watch?v=9BIYmw5wnBI Course cover image by Jonathan Gross. Creative Commons BY-ND https://flic.kr/p/q1vudb
