Courses

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.

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.

Business Management Training - Be A Better Manager - learn how to use Data to improve your management skills What you'll learn: You will learn how to become a manager that makes decisions based on clear dataYou will understand the importance of Data in managementYou will learn how to choose and interpret DataYou will learn how to balance your selection of Data Business Management Training - Be A Better Manager Learn how to use Data to improve your management skills. *An updated version of thiscourse is included in the "Management Skills And Leadership Skills Masterclass", so please do not purchase this if you have already purchased that one. Improve Your Management Skills - Data Driven Manager Do you want to learn how to learn how to improve your management skills and career by becoming a Data Driven Manager? Get Results Data driven managers are managers that get results. By becoming a data driven manager, you can increase your department’s productivity, improve profits and get yourself recognised as a manager that can get results and progress in your management career. A Manager's Job A manager's job is hard, especially if your systems and processes are now working for you and showing you in a bad light. But if you can learn to become a data driven manager and learn how to create and manage systems and processes, then you can climb the path to a successful career in management in rapid time. A Leading UK Expert Myself and Stephen Mather, a leading UK management consultant and managing director of the revolutionary ProPeC system of business improvement, have collaborated to bring you this course on being a data driven manager from the “Be A Better Manager” series of training courses. What You Will Learn In this course you will learn what a data driven manager is.You will learn how a data driven manager thinks and behaves.And you will also learn how a data driven manager achieves their goals and succeeds in their objectives. 100% Money Back Guarantee Before you go any further, let us just say that we don’t want you to be disappointed. If you are unhappy with the course for any reason whatsoever, you can get a full refund in the first 30 days, backed by Udemy, with no questions asked. Start Your Journey To Being A Better Manager Join us on the other side and learn how to become a data driven manager that gets results for their business and improve your career prospects!

Explore how rack managers are evolving beyond simple proxy functions to become intelligent control systems in modern AI infrastructure through this 25-minute conference talk from the Open Compute Project. Learn from industry experts Brian Vandecoevering (AMI) and Han Wang (Meta) as they examine the critical role of rack management in artificial intelligence workloads, where efficient hardware oversight directly impacts system reliability and training time optimization for massive models. Discover why traditional node-level management falls short in disaggregated hardware environments, where individual devices lack visibility into other components affecting their performance. Understand the challenges facing management software in large datacenters, where the volume of telemetry data prevents timely responses, necessitating decision-making capabilities closer to the hardware nodes. Examine advanced rack manager capabilities including log analysis, bottleneck identification, predictive failure detection, and improved workload modeling that enable more proactive infrastructure management. Gain insights into how AI and automation integration will shape the future of rack management, creating more robust and scalable solutions for next-generation computing environments where intelligent, localized decision-making becomes essential for optimal datacenter operations.

Learn about Apache Bigtop and Bigtop-Manager's integration with openEuler in this 27-minute technical talk from the Data Lake & Data Warehouse Track. Join Arm's Yuqi Gu and Apache Ambari PMC Member/Apache Bigtop Committer Zhiguo Wu as they explore the future of big data distribution systems. Discover how these technologies work together to create a more efficient and manageable big data ecosystem, marking a significant advancement in the field of data management and distribution.

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to implement a full data protection strategy with NetApp Cloud Volumes ONTAP and Cloud Manager capabilities.

Explore a conference talk on enhancing Apache Spark's reliability for cloud-native data processing using Cloud Shuffle Manager. Discover how Apple engineers Bo Yang and HAI TAO address the challenge of fault tolerance in Spark's internal shuffle data when running on Kubernetes. Learn about the innovative Cloud Shuffle Manager, which stores shuffle data replications on cloud storage, enabling Spark to read from workers in normal conditions and from cloud storage during worker failures. Gain insights into the underlying optimizations for improved shuffle performance and how this approach allows for reliable Spark application execution on Spot Instances/VMs, resulting in significant cost savings at scale. Understand the potential of this solution for enhancing the reliability and cost-effectiveness of large-scale data processing in cloud environments.

Data Privacy Solutions Engineer Course, Privacy Governance, Risk Management, Data Lifecycle, Data Manager Course What you'll learn: Understand the importance of risk management in privacy governance.Apply strategies to enhance privacy protection through risk assessment and mitigation.Foster collaboration between privacy and cybersecurity teams.Develop integrated solutions to address privacy and cybersecurity challenges.Create meaningful privacy metrics for evaluating program effectiveness.Develop clear reporting mechanisms to communicate privacy achievements and improvements.Design privacy-focused architectures to protect data in interconnected environments.Implement technologies and practices that ensure data security and privacy.Learn to manage data privacy considerations throughout its lifecycle.Apply a holistic approach to privacy management, from data collection to disposal. Data Privacy Solutions Engineer - 101 Course - Your Gateway to Becoming a Data Privacy Solutions EngineerIn today's data-driven world, protecting sensitive information and ensuring data privacy has never been more critical. With the ever-increasing number of data breaches and regulatory requirements, organizations are actively seeking professionals who can bridge the gap between data privacy and technology. In this 101 exam preparation course, we will explore Data Privacy Solutions Engineer Certification syllabus and topics explaining and how it can be your gateway to becoming a certified expert in data privacy solutions.The Data Privacy Solutions Engineer Certification Course 101 credential is for professionals who wish to build a career at the intersection of data privacy and technology. Data Privacy Solutions Engineer Certification Course 101 focuses on the practical application of data privacy solutions, making it a valuable credential for anyone involved in securing and managing sensitive data.Data privacy professionals are in high demand across various industries. Holding a Data Privacy Solutions Engineer Certification Course 101 certification exam preparation course will set you apart in the job market and open up numerous career opportunities.With the ever-evolving data protection regulations, organizations need experts who can ensure compliance. Data Privacy Solutions Engineer Certification Course 101 provides the skills to navigate these complex laws effectively. The course equips you with a holistic understanding of data privacy, covering not only compliance but also the technical and operational aspects of data protection. Data Privacy Solutions Engineer Certification Course 101 connects you to a vast network of data privacy and technology professionals worldwide.Data Privacy Solutions Engineer Certification Course 101 is a valuable certification preparation course for a wide range of professionals, including:· IT and security professionals· Data privacy officers and managers· Compliance officers· Data analysts and engineers· Legal and audit professionals· Anyone interested in a career in data privacyThe Data Privacy Solutions Engineer Certification Course 101 is a golden opportunity for individuals looking to excel in the field of data privacy solutions. As organizations continue to grapple with data privacy challenges, Data Privacy Solutions Engineer Certification Course 101 will be at the forefront of ensuring data protection, compliance, and innovation.By enrolling in Data Privacy Solutions Engineer Certification Course 101, you're taking the first step toward becoming a sought-after expert in data privacy solutions. It's not just a course; it's a career investment that will open doors to a world of opportunities and help you make a significant impact in the data privacy landscape. So, are you ready to embark on this exciting journey to become a Certified Data Privacy Solutions Engineer? Your path to success starts here!In this 101 course, I would like to teach the 5 major topics and 1 practice test:1. Enhancing Privacy Governance through Effective Risk Management2. Collaborative Privacy Practices: Bridging the Gap Between Privacy and Cybersecurity3. Measuring Privacy Success: Metrics and Reporting in Privacy Governance4. Designing a Robust Privacy Architecture: Safeguarding Data in a Connected World5. Navigating the Data Lifecycle: A Comprehensive Approach to Privacy Management" &Practice testTo pass of this practice test course, you must score at least 70% on the practice test.In every question, I explained why the answer is correct!Good Luck ! & Thank you once again !

In this course, you will learn how to use Data Manager to extract, transform and load data into Qlik Sense for analysis. By the end of the course, you will be able to execute self-service analytics without being dependent on a BI or IT developer. At the core of Qlik Sense Data Manager is a thorough knowledge of loading and preparing data for analysis in Qlik Sense. In this course, Loading and Preparing Data for Analysis in Qlik Sense, you will gain foundational knowledge of using data manager. First, you will learn different ways to extract data from data sources. Next, you will discover how to associate tables and different ways to create associations so that you can slice and dice the data into the front end with just field selections. Finally, you will explore how to apply data transformations and data cleansing for analysis. When you are finished with this course, you will have the skills and knowledge of loading and preparing your own data for analysis without being dependent on a BI or IT developer.

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.

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.

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

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.