If your work causes you to find yourself constantly at a keyboard, then you know how tedious doing file system chores can be. From organizing files into folders, whether by file type, attributes, or simply alphabetically or by month, all of these tasks consume our time and increase the time required by other tasks. Yet, without organizing, searching for the correct files can steal just as much time. What if you had a friend to help you out? In this project, I will show you step-by-step how to code an AI assistant that can accept simple commands and help you keep organized. By the time you're finished, you'll have a working prototype of a file helper bot that from the get-go will have the ability to clean and organize your files and folders the way you ask it to, combine text files into PDFs, search for files based on parameters set by you, and even search Google for answers. Your assistant will also be fully expandable, so you can write new methods to teach it new tasks! Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

In this course, you will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build your foundational knowledge of cloud data services within Microsoft Azure. You will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure. You will explore the roles, tasks, and responsibilities in the world of data. This is the first course in a program of five courses to help prepare you to take the Exam DP-900: Microsoft Azure Data Fundamentals. so that you can demonstrate that you have a foundational knowledge of the core database concepts in a cloud environment. This course is ideal for IT professionals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure with a view to taking up roles as Data Engineers and Database Administrators. It is also suitable for working database professionals looking for additional skills or credentials to showcase expertise in a cloud environment and IT professionals looking to specialize in the specific area of Azure data. To be successful in this course, you need to have basic computer literacy and proficiency in the English language. Successful Azure Data Fundamentals students start with some basic awareness of computing and Internet concepts, and an interest in extracting insights from data. It is an advantage to have experience using a web browser, familiarity with basic data-related concepts, such as working with tables of data in a spreadsheet, and visualizing data using charts.

This is a self-paced lab that takes place in the Google Cloud console. Collect database information from Oracle, MySQL, PostgreSQL and Microsoft SQL, import data generated from AWS/Azure account into StratoZone for analysis.

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you use BigQuery to troubleshoot common SQL errors, query the data-to-insights public dataset, use the Query Validator, and troubleshoot syntax and logical SQL errors.

هذه هي الدورة التدريبية السابعة في شهادة تحليلات البيانات من Google. ستزودك هذه الدورات بالمهارات اللازمة للتقدم لوظائف محلل البيانات على المستوى التمهيدي. في هذه الدورة، ستتعرف على لغة البرمجة المعروفة باسم R. حيث ستتعرف على كيفية استخدام RStudio، وهي البيئة التي تتيح لك استخدام R. كما ستتناول هذه الدورة أيضًا تطبيقات البرامج والأدوات التي تنفرد بها R، مثل حزم R. ستكتشف كيف تتيح لك لغة R تنظيف البيانات وتنظيمها وتحليلها وتصورها والإبلاغ عنها بطرق جديدة وأكثر فاعلية. سيستمر محللو بيانات Google الحاليون بإرشادك وتزويدك بالطرق العملية لإنجاز مهام محلل البيانات الشائعة باستخدام أفضل الأدوات والموارد. سيتم تجهيز المتعلمين الذين يكملون برنامج الشهادة هذا للتقدم لوظائف المستوى التمهيدي كمحللين بيانات. لا تلزم خبرة سابقة. بنهاية هذه الدورة، ستكون قادرًا على: - فحص فوائد استخدام لغة البرمجة R. - اكتشاف كيفية استخدام RStudio لتطبيق R على تحليلك. - استكشاف المفاهيم الأساسية المرتبطة بالبرمجة في R. - استكشاف محتويات ومكونات حزم R بما في ذلك حزمة Tidyverse. - اكتساب فهم لأطر البيانات واستخدامها في R. - اكتشاف خيارات إنشاء التصورات في R. - التعرف على R Markdown لتوثيق برمجة R.

This 1.5 hours project-based course is the first part of "Manage Your Versions with Git". In this course, you will learn about the ubiquitous Git version management system. Git is an industry standard that is used in virtually every major development platform and environment to manage code changes and versions. This class will deepen your understanding of how git works and the relevant terminologies. No specific coding experience is required but basic software development experience would be highly beneficial.

Welcome to the Intel® Network Academy – a comprehensive training program on network transformation. In this program, we will be covering the topic areas of software defined infrastructure (SDI) network functions virtualization (NFV), software-defined networking (SDN) and beyond. The Network Academy includes a broad collection of online content and technical training aimed to assist technical professionals in the network industry to improve their knowledge of key Intel® technologies, industry trends, and technical aspects of NFV deployments. After completing this training course, please find Network Transformation 102 offered by Intel® Network Academy to advance your technical expertise.

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to use macros in Data Fusion that introduce dynamic variables to plugin configurations so that you can specify the variable substitutions at runtime.

Practically everything on a Linux operating system is a directory or file. It is important to understand how the file system is structured and how to manipulate it from the command line. This allows for file management even when no GUI tools are present, which is common in a server environment. For example, in an organization it is important for new users to share a common directory and file setup to improve productivity. A system admin can add the new user and create the directory structure common to all other users in the system. The user can then customize their Linux experience by adding their own files and directories. In this course, you will use Linux commands to create directories and files for a new user added to the system. The result will be a script to add a new user with a common directory structure. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn about Anthos Service Mesh enabled traffic management use cases, and how to configure fine-grained traffic routing for microservices in the Bookinfo application.