Courses

Learn how to manage your manager. In this course, adapted from the podcast How to Be Awesome at Your Job, Mary Abbajay explains how to build a good relationship with your boss.

Learn how to create and manage apps with SCCM and prepare for Microsoft certification exam 70-703. See how to deploy apps using PowerShell scripts, and deploy App-V virtual apps.

Are you interested in how to use data generated by doctors, nurses, and the healthcare system to improve the care of future patients? If so, you may be a future clinical data scientist! This specialization provides learners with hands on experience in use of electronic health records and informatics tools to perform clinical data science. This series of six courses is designed to augment learner’s existing skills in statistics and programming to provide examples of specific challenges, tools, and appropriate interpretations of clinical data. By completing this specialization you will know how to: 1) understand electronic health record data types and structures, 2) deploy basic informatics methodologies on clinical data, 3) provide appropriate clinical and scientific interpretation of applied analyses, and 4) anticipate barriers in implementing informatics tools into complex clinical settings. You will demonstrate your mastery of these skills by completing practical application projects using real clinical data. This specialization is supported by our industry partnership with Google Cloud. Thanks to this support, all learners will have access to a fully hosted online data science computational environment for free! Please note that you must have access to a Google account (i.e., gmail account) to access the clinical data and computational environment.

This Data Product Manager Nanodegree program highlights the true power of data to shape and optimize product strategies. From building data pipelines to analyzing key product metrics, you'll learn how to drive product innovation and success.

Explore a 28-minute conference talk from Data Science Conference Europe 2023 where Uros Vilmanovich demystifies the complexities of clinical data management integrated with data science methodologies. Discover tangible strategies and practical applications that enhance clinical data processes, while learning how to implement data science techniques for extracting meaningful insights. Gain actionable knowledge about real-world challenges and solutions in healthcare data management, understanding how the practical fusion of Clinical Data Management and Data Science methodologies can transform healthcare outcomes. Delivered at the Data Science Conference Europe 2023 in Belgrade, the presentation offers a comprehensive framework for professionals seeking to bridge the gap between clinical data management and modern data science approaches.

This course prepares you to deal with advanced clinical data science topics and techniques including temporal and research quality analysis.

This course introduces you to a framework for successful and ethical medical data mining. We will explore the variety of clinical data collected during the delivery of healthcare. You will learn to construct analysis-ready datasets and apply computational procedures to answer clinical questions. We will also explore issues of fairness and bias that may arise when we leverage healthcare data to make decisions about patient care. In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Visit the FAQs below for important information regarding 1) Date of the original release and expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content.

Great leadership doesn't happen by chance—it happens by design. This course helps you create and evolve a personalized leadership checklist that keeps you focused on what matters most. You'll learn the core components of an effective checklist, from daily practices to strategic responsibilities, and how to structure them for clarity and action. Through practical tools, case examples, and hands-on activities, you'll build a Version 1 of your leadership checklist, test it against real challenges, and refine it as your role evolves.

In the Data Driven Manager specialization, you will learn how to first understand the type of data that you have (or want to generate), then describe it with numbers and graphs to communicate with your audience. You will practice using probability and distributions to understand the underlying nature of your data to make decisions and solve problems in a way that increases the likelihood of a desired outcome. You will learn the steps to create a plan to answer business and engineering questions and reduce risk when making decisions. You’ll study how to determine best- and worst-case scenarios using data. Finally, you’ll acquire data analysis skills to answer business and engineering questions that will help you make appropriate decisions. The courses in this specialization can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.

Looking for a consistent and reliable way to install Windows applications? Learn about the Chocolatey package manager.

This course aims to teach the concepts of clinical data models and common data models. Upon completion of this course, learners will be able to interpret and evaluate data model designs using Entity-Relationship Diagrams (ERDs), differentiate between data models and articulate how each are used to support clinical care and data science, and create SQL statements in Google BigQuery to query the MIMIC3 clinical data model and the OMOP common data model.

This course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research. Understanding and implementing solid data management principles is critical for any scientific domain. Regardless of your current (or anticipated) role in the research enterprise, a strong working knowledge and skill set in data management principles and practice will increase your productivity and improve your science. Our goal is to use these modules to help you learn and practice this skill set. This course assumes very little current knowledge of technology other than how to operate a web browser. We will focus on practical lessons, short quizzes, and hands-on exercises as we explore together best practices for data management.

This course will prepare you to complete all parts of the Clinical Data Science Specialization. In this course you will learn how clinical data are generated, the format of these data, and the ethical and legal restrictions on these data. You will also learn enough SQL and R programming skills to be able to complete the entire Specialization - even if you are a beginner programmer. While you are taking this course you will have access to an actual clinical data set and a free, online computational environment for data science hosted by our Industry Partner Google Cloud. At the end of this course you will be prepared to embark on your clinical data science education journey, learning how to take data created by the healthcare system and improve the health of tomorrow's patients.

Learn how to handle date and time effectively in C# applications. Use DateOnly, TimeOnly, and DateTime classes to represent dates and times. Perform time zone conversions and interval calculations using DateTimeOffset, TimeZoneInfo, and TimeSpan. Retrieve and manipulate day of the week information using DayOfWeek. Handle culture-specific data using CultureInfo. Perform calendar-related operations using Calendar and define rules for determining the first week of the year using CalendarWeekRule. Learn, to use C# tools for managing groups of objects dynamically, ensuring type safety and efficient data manipulation. Apply C# Collections for Efficient Data Management Manage ordered collections using List<T> in C# Manage unique collections with HashSet<T> Using Dictionary<TKey, TValue> for efficient key-value pair management in C# Learn to create organized, maintainable code with enum, struct, and record types in C#. Use enums in C# to define named constants and prevent invalid values. Work with structs in C# to encapsulate related data into lightweight containers. Create records in C# to model immutable data and ensure consistency. Get started with generic and anonymous types in C#. Implement generic classes and methods to handle various data types efficiently. Utilize advanced generics features like generic interfaces, covariance, contravariance, and generic math to address complex scenarios. Apply anonymous types to create temporary, lightweight data structures for short-term use. Explore use cases for anonymous types and tuples.

This course focuses on understanding why managers are crucial to team success and the positive impact they can have. It covers recognizing both effective and ineffective management behaviors and highlights the unique value managers bring to their teams.

Learn how to transition from individual contributor to Manager and Leader with confidence! What you'll learn: Welcome to your career in management. But most important…Welcome to leadership. Even for the most gifted individuals, the process of becoming a leader is a rigorous and many times an exhausting journey. The rewards, however, can be enormous. I surveyed a group of managers across many disciplines and asked the question, “As a new manager, what do you wish you learned early in your career?” What follows in this course, is a result of the responses, as well as my personal experience coaching and mentoring new managers. I will open this course by asking you to be patient with yourself. You do not develop leadership skills overnight. It takes practice, it takes trying new things, it takes making mistakes. Yes, sometimes you will fail. That is ok. It is ok to acknowledge when something doesn’t work, it is ok to celebrate and build on your successes. I have broken this course into individual modules. These are small bite sized modules that you can view either one after the other, or one at a time as you drink your morning coffee. Feel free to jump around and view the modules that are of the most importance to you. Take what works, challenge what doesn’t, try new things. I’m excited to join you in this journey. It’s time to think about success. Let’s Get Started. Welcome to your career in management. But most important&hellip;Welcome to leadership. Why did you make this big move? To grow personally and professionally? To make a difference? To lead others to realize their success? All of the above?All this, and more! Even for the most gifted individuals, the process of becoming a leader is a rigorous and many times an exhausting journey. The rewards, however, can be enormous. I surveyed a group of managers across many disciplines and asked the question, &ldquo;As a new manager, what do you wish you learned early in your career?&rdquo; What follows in this course, is a result of the responses, as well as my personal experience coaching and mentoring new managers. I will begin by asking you to be patient with yourself. You do not develop leadership skills overnight. It takes practice, it takes trying new things, it takes making mistakes. Yes, sometimes you will fail. That is ok. It is ok to acknowledge when something doesn&rsquo;t work, it is ok to celebrate and build on your successes. I have broken this course into individual modules. These are small bite sized modules that you can view either one after the other, or one at a time as you drink your morning coffee. Feel free to jump around and view the modules that are of the most importance to you. Take what works, challenge what doesn&rsquo;t, try new things.The Chapters include:Introduction to ManagementDeveloping Your Leadership StyleLeadership ResponsibilitiesLeadership CommunicationTeam DevelopmentYour Growth and DevelopmentManagers Toolkit I&rsquo;m excited to join you in this journey. It&rsquo;s time to think about success. Let&rsquo;s Get Started.

A foundation course for big data that covers the big data tools for various stages of a big data project and now chatGPT What you'll learn: Confidently lead a big data project in your organizationDifferentiate big data technology from traditional technologyTalk about big data solution stages and cluster sizing with your development team, architects and CTOSSelect tools required for various stages of your big data projectBuild an action plan for your big data analytics project using 5 Ps modelNew: Explore chatGPT to analyse your data and help in project management with 1 hour of added content This course covers the required fundamentals about big data technology that will help youconfidently lead a big data project in your organization. It covers the big data terminology like 3 Vs of big data and key characteristics of big data technology that will help you answer the question 'How is big data technology different from traditional technology'. You will be able to identify variousbig data solution stages from big data ingestion to big data visualization and security. You will be able to choose the right tool for each stage of the big data solution. You will see the examples use of popular big data tools like HDFS, Map reduce, Spark, Zeppelin etc and also a demo of setting up EMRcluster on Amazon web services. You will practice how to use the 5 P's methodology of data science projects to manage a big data project. You will see theory as well as practice by applying it to many case studies. You will practice how to size your cluster with a template. You will explore more than 20 big data tools in the courseand you will be able to choose the tool based on the big data problem.I have recently(24th July 2023) added one hour of content on chatGPT with Top 10 AI tools and four demos on using chatGPT for project managers and data analysis providing visualization of data as well as prescriptive analysis of data. These lectures and 4 demos will provide the latest information on the AI technologies and how it can benefit an organization. I am sure you will be amazed by this content.Top companies now offer this course to their employees. I am glad to share some of the five star comments about the course:This course really exceeded my expectations! Not only it covers the concepts and the overall view of a Big Data project landscape but it also provides good examples of real case studies, that help reinforce the contents presented. Great course!This course is great! I have learnt many useful things. The case studies are very enlightening. I strongly recommend. Thank you very much.otimo tecnicamente, excelente Didatica muito boa e o conteudo conforme esperado

Learn the skills you need as a middle manager, including how to build strong hybrid teams, onboard new employees, conduct performance reviews and give feedback, develop OKRs to drive business alignment, trust your teams to do their best work, build visibility online as a remote leader, and communicate across cultures virtually. After completing this learning path, advance your skills with Manage Remote and Hybrid Teams as a Senior Manager.Build strong hybrid/remote teams.Onboard new employees effectively.Create OKRs that drive alignment, autonomy, and accountability.Communicate across cultures virtually.

Discover what it means to lead at a distance. As a new manager, learn how to run effective virtual and hybrid meetings, build a virtual team culture, communicate across cultures, whether working virtually or in person, and drive engagement, productivity, and growth. After completing this learning path, advance your skills with Manage Remote and Hybrid Teams as a Middle Manager.Discover what it means to lead at a distance.Drive engagement, productivity, and growth remotely.Run effective virtual and hybrid meetings.Communicate across cultures virtually.

As a senior manager, you're leading distributed teams remotely, in an office setting or both. In this learning path, you’ll learn how to plan for and embrace this new reality, including how to run collaborative hybrid teams, communicate across cultures and create great employee experiences, coach your people, and drive results and resolve conflict.Plan for the work-from-anywhere organization.Build a high-performance work culture.Communicate across cultures virtually.Drive results and resolve conflict.