All current BigQuery Courses courses in 2024
23 Courses
Gemini for Data Scientists and Analysts
Gemini for Data Scientists and Analysts
In this course, discover how Gemini, a generative AI-powered collaborator from Google Cloud, helps analyze customer data and predict product sales. Learn to identify, categorize, and develop new customers using customer data in BigQuery. Through hands-on labs, experience how Gemini enhances data analysis a.
From Data to Insights with Google Cloud 日本語版
From Data to Insights with Google Cloud 日本語版
ぺタバイトのデータを数秒でクエリ・処理する方法を学びたい、またはデータ分析においてデータ量が増加しても自動でスケーラブルにする方法を学習したい方には、このコースが最適です。
ここでは、Google BigQuery データセットからデータマイニング、ビジュアル化、ローディング、などインタラクティブなシナリ.
Coursera Specialization
Paid Course
26 weeks, 1 hour a week
Automate Interactions with Contact Center AI
Earn a prestigious skill badge by completing the "Automate Interactions with Contact Center AI" course offered by Qwiklabs. This immersive learning quest is designed to equip you with deep insights into the functionalities of Contact Center AI. As part of this course, you'll gain hands-on experience in:
Building a robust virtual agent.
Crafting co.
Qwiklabs
Free Certificate
8 hours
On-Demand
Google Business Intelligence
Google Business Intelligence Professional Certificate
Get professional training designed by Google and take the next step in your career with advanced skills in the high-growth field of business intelligence. There are over 166,000 open jobs in business intelligence and the median salary for entry-level roles is $96,000.¹ Business intelligence.
Coursera Professional Certificate
Paid Course
Build a Data Warehouse Using BigQuery
Unlock the power of Google BigQuery as you embark on a journey to become proficient in data warehouse building and advanced querying. In this comprehensive course, you'll learn to harness the capabilities of BigQuery, from setting up and accessing the platform to creating data warehouses using both the user interface and Python.
Through hands-o.
Coursera
Free Online Course (Audit)
8-9 hours
On-Demand
Building Batch Data Pipelines on GCP en Français
Building Batch Data Pipelines on GCP en Français
Les pipelines de données s'inscrivent généralement dans le paradigme EL (extraction et chargement), ELT (extraction, chargement et transformation) ou ETL (extraction, transformation et chargement). Ce cours vous indiquera quel paradigme utiliser pour le traitement de donné.
Coursera
Free Online Course (Audit)
17 hours
On-Demand
Building Batch Data Pipelines on GCP en Español
Building Batch Data Pipelines on GCP en Español
Las canalizaciones de datos suelen realizarse según uno de los siguientes paradigmas: extracción y carga (EL); extracción, carga y transformación (ELT), o extracción, transformación y carga (ETL). En este curso, abordaremos qué paradigma se debe utilizar para los datos por lotes y cuándo.
Coursera
Free Online Course (Audit)
17 hours
On-Demand
Building Batch Data Pipelines on GCP em Português Brasileiro
Building Batch Data Pipelines on GCP em Português Brasileiro
Os pipelines de dados geralmente se encaixam em um dos três paradigmas: extração-carregamento, extração-carregamento-transformação ou extração-transformação-carregamento. Este curso descreve qual paradigma deve ser usado em determinadas situações e quando isso ocorre.
Coursera
Free Online Course (Audit)
17 hours
On-Demand
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud - Locales
This course, Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud.
The Google Cloud Computing Foundations courses are designed for individuals with lit.
Google Cloud Skills Boost
Paid Course
16 hours
On-Demand
From Data to Insights with Google Cloud
Discover the power of big data analysis with the "From Data to Insights with Google Cloud" specialization offered online through Coursera. This comprehensive four-course program is specifically designed for Data Analysts, Business Intelligence professionals, and Cloud Data Engineers seeking to enhance their skills in scalable data solutions using G.
Coursera Specialization
Paid Course
22 weeks, 2 hours a week