Search result for Data Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 9,408 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Teaching Impacts of Technology: Workplace of the Future
by Beth Simon- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 13 hours to complete
Technology and Computing Concepts: Data retrieval, data vs metadata, SQL, Boolean logic (AND, OR, NOT) Impacts (Advancing your career in the fast moving technical world): digital technology changing jobs, online classes, machines replacing jobs, data science and artificial intelligence Data vs Metadata! Career Exploration: Data Science and Artificial Intelligence The Data Science Process...
Introduction to Statistics & Data Analysis in Public Health
by Alex Bottle- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 16 hours to complete
Welcome to Introduction to Statistics & Data Analysis in Public Health! Data set and Glossary Ways of Dealing with Weird Data How to describe distributions of real data How to Load Data and run Basic Tabulations in R Deaths data set for the end-of-course Assessment...
Digital Footprint
by Louise Connelly , Nicola Osborne- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 9 hours to complete
Data after death (Interview with Prof....
Imagery, Automation, and Applications
by Nick Santos- 4.9
-
![]()
![]()
![]()
![]()
![]()
Approx. 28 hours to complete
You should have equivalent experience to completing the first, second, and third courses in this specialization, "Fundamentals of GIS," "GIS Data Formats, Design, and Quality", and "Geospatial and Environmental Analysis," respectively, before taking this course. Characteristics of Remotely Sensed Data Acquiring Imagery and Terrain Data Time Enabled Data Collecting and Managing Data for Your Workflows...
Modernizing Data Lakes and Data Warehouses with GCP 日本語版
by Google Cloud Training- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
すべてのデータ パイプラインには、データレイクとデータ ウェアハウスという 2 つの主要コンポーネントがあります。このコースでは、それぞれのストレージのユースケースに焦点を当て、Google Cloud Platform で利用可能なデータレイクおよびデータ ウェアハウスのソリューションを技術的に詳しく説明します。 また、データ エンジニアの役割や、適切なデータ パイプラインが事業運営にもたらすメリットについて述べ、クラウド環境でデータ エンジニアリングを行うべき理由を説明します。受講者は Qwiklabs を使用して、Google Cloud Platform のデータレイクとデータ ウェアハウスを実際に使ってみることができます。 はじめに コース概要 Google Cloud Platform と Qwiklabs の使用方法 データ エンジニアリング データ エンジニアの役割を確認する データ エンジニアリングの課題を分析する BigQuery の概要 データレイクとデータ ウェアハウス デモ: BigQuery での連携クエリ トランザクション データベースとデータ ウェアハウスの比較 他のデータチームと効果的に連携する データアクセスとデータ ガバナンスを管理する デモ: DLP API を使用してデータセット内の個人情報（PII）を検出する 本番環境向けパイプラインを構築する...
Sequences, Time Series and Prediction
by Laurence Moroney- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 13 hours to complete
Real-world time series data Real data - sunspots Prepare data for time series learning using best practices Build a sunspot prediction model using real-world data...
Building Batch Data Pipelines on GCP en Français
by Google Cloud Training- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 13 hours to complete
Vous découvrirez également plusieurs technologies Google Cloud Platform permettant de transformer des données, y compris BigQuery, Spark exécuté sur Cloud Dataproc, les graphiques de pipelines dans Cloud Data Fusion et le traitement de données sans serveur avec Cloud Dataflow. Gérer des pipelines de données avec Cloud Data Fusion et Cloud Composer...
Building Batch Data Pipelines on GCP em Português Brasileiro
by Google Cloud Training- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 13 hours to complete
Também tratamos de diversas tecnologias de transformação de dados disponíveis no Google Cloud Platform, como o BigQuery, a execução do Spark no Cloud Dataproc, os gráficos de pipeline no Cloud Data Fusion e o processamento de dados sem servidor com o Cloud Dataflow. Gerencie pipelines de dados com o Cloud Data Fusion e o Cloud Composer...
C++
by David Silver , Stephen Welch , Andreas Haja- 0.0
-
![]()
![]()
![]()
![]()
![]()
4 Months
C++ is a compiled, high-performance language. Robots, automobiles, and embedded software all depend on C++ for speed of execution. This program is designed to turn software engineers into C++ developers. You will use C++ to develop object-oriented programs, to manage memory and system resources, and to implement parallel programming. Get hands-on experience by building five real-world projects....
Build Native Mobile Apps with Flutter
by Mary Xia , Matt Sullivan , James Williams- 0.0
-
![]()
![]()
![]()
![]()
![]()
Timeline Approx. 2 Weeks
lesson 1 Flutter Understand the fundamentals of the Flutter framework Incorporate widgets and state into your app Use Flutter's tools to enhance your development process lesson 2 Building Interactive Apps Customize your app with Material Design, themes, assets, and more Make your app interactive with text input, gestures, and more Retrieve local and real-time data from the web...
Free
Previous
