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Google
Google データアナリティクス プロフェッショナル認定プログラムの最初のコースです。各コースでは、初歩的なデータ アナリスト業務に必要なスキルを習得します。あらゆる組織で、プロセスの改善、商機とトレンドの見極め、新製品のリリース、慎重な意思決定などに、データ アナリストが必要とされています。このコースでは、Google が開発した実践的なカリキュラムを通じてデータ アナリティクスの世界を紹介します。教材では、データ アナリティクスに関する多数の主要トピックに触れながら、Google データアナリティクス プロフェッショナル認定プログラムの概要がわかるよう工夫されています。現職の Goog…
Google Cloud
Learn how to solve business problems using AI/ML models for generative tasks in BigQuery. Gain hands-on experience in coding solutions using SQL queries and Python notebooks.
Google
هذه هي الدورة التدريبية الرابعة في شهادة تحليلات البيانات من Google. ستزودك هذه الدورات بالمهارات اللازمة للتقدم لوظائف محلل البيانات على المستوى التمهيدي. في هذه الدورة التدريبية، ستستمر في بناء فهمك لتحليلات البيانات والمفاهيم والأدوات التي يستخدمها محللو البيانات في عملهم. ستتعلم كيفية التحقق من…
Learn how to supercharge PostgreSQL for time-series data and heavy analytics workloads using the TimescaleDB extension. In this comprehensive course, you will master hypertables, continuous aggregates, and columnar storage by building real-world projects like an AI agent flight recorder and an EV f…
IBM
A short hands-on project: PostgreSQL.
Google
هذه هي الدورة التدريبية الأولى في شهادة تحليلات البيانات من Google. ستزودك هذه الدورات بالمهارات التي تحتاجها للتقدم لوظائف محلل البيانات على المستوى التمهيدي. تحتاج المؤسسات من جميع الأنواع إلى محللي بيانات لمساعدتها على تحسين عملياتها، وتحديد الفرص والاتجاهات، وإطلاق منتجات جديدة، واتخاذ قرارات م…
Building a CRUD App using Node, Express, Mongodb and Mongoose. Source code : https://github.com/navinreddy20/NodeCode.git Check out our courses: Agentic AI Engineering with Python : https://go.telusko.com/agentic-ai-python Coupon: TELUSKO10 (10% Discount) Master Java Spring Development : https://go…
Google Cloud
This is a self-paced lab that takes place in the Google Cloud console. In this lab you review schema related features of Cloud Spanner and apply those to a Banking Operations database. You also review the methods and rules by which Cloud Spanner creates query plans.
DeepLearning.AI
In this course, you’ll model, transform, and serve data for both analytics and machine learning use cases. You’ll explore various data modeling techniques for batch analytics, including normalization, star schema, data vault, and one big table, and you’ll use dbt to transform a dataset based on a s…
Learn how to build a Buzzfeed Clone in JavaScript, followed by a version in React using JSON server for mimicking an API, and then build a TypeScript Buzzfeed Clone with a mini backend using Node.js to communicate with a Database. 💻 Final code: https://github.com/kubowania/buzzfeed-clone-javascript…
Adelaide University
Learn key big data analytics technologies and techniques, including R and Apache Spark, for data modelling and to analyse large-scale data sets to uncover valuable business information.
The University of Maryland, College Park
Learn how to transform an organization digitally through simulations and case studies by applying the Disciplined Agile Delivery framework to work through three simulations.
SAS
In this course, you learn advanced techniques within the DATA step and procedures to manipulate data. “By the end of this course, a learner will be able to…” ● Use additional functions (LAG, FINDC/FINDW, and COUNT/COUNTC/COUNTW). ● Perform pattern matching using PRX functions. ● Process repetitive…
University of Colorado System
Database Management Essentials provides the foundation you need for a career in database development, data warehousing, or business intelligence, as well as for the entire Data Warehousing for Business Intelligence specialization. In this course, you will create relational databases, write SQL stat…
Google Cloud
This is a self-paced lab that takes place in the Google Cloud console. In this lab you use Machine Learning (ML) to analyze the public NCAA dataset and predict NCAA tournament brackets.
The Georgia Institute of Technology
Background on US healthcare, the key current applications of informatics in healthcare delivery
Google Cloud
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.
