Data Management Courses

Creating Features for Time Series Data

Explore time series data analysis techniques including binning, smoothing, transformations, spectral analysis, and motif detection to create effective features for advanced analytics and modeling.

• Coursera
• 10 hours 32 minutes
• Self-Paced
• Paid Course

Modeling Time Series and Sequential Data

Aprenda a modelar séries temporais e dados sequenciais usando abordagens tradicionais, bayesianas e de aprendizado de máquina. Explore técnicas avançadas de previsão e combine diferentes métodos para melhorar a precisão.

• Coursera
• 12 hours 15 minutes
• Self-Paced
• Paid Course

Java Data Access - SQL Primer

Explore SQL basics for relational databases, including table creation, querying, joins, and subqueries, preparing you for advanced Java data access techniques.

• Coursera
• 9 hours 2 minutes
• Self-Paced
• Paid Course

Exploring Data Transformation with Google Cloud - Français

Découvrez comment exploiter la valeur des données avec Google Cloud pour transformer votre entreprise, améliorer l'expérience client et prendre des décisions éclairées grâce à des solutions de gestion et d'analyse avancées.

• Coursera
• 1 hour 46 minutes
• Self-Paced
• Paid Course

Coursera

Joining Data in R using dplyr

Learn practical data manipulation in R using dplyr package. Master various join operations to merge datasets efficiently, enhancing your skills in data analysis and manipulation.

• Coursera
• 2 hours 6 minutes
• Self-Paced
• Paid Course

Exploring the Lineage of Data with Cloud Data Fusion

This is a self-paced lab that takes place in the Google Cloud console. This lab shows how to use Cloud Data Fusion to explore data lineage - the data's origins and its movement over time.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Redacting Confidential Data within your Pipelines in Cloud Data Fusion

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use the Cloud Data Fusion plugin for Cloud DLP to redact sensitive data.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Building Realtime Pipelines in Cloud Data Fusion

Learn to create real-time event processing pipelines using Data Fusion and Apache Spark Streaming on Cloud Dataproc, enabling efficient handling of streaming data in Google Cloud.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion

Learn to use Wrangler directives in Google Cloud Data Fusion for efficient data transformation and preparation, enhancing your ability to manage and process data effectively.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Loading Your Own Data into BigQuery

This is a self-paced lab that takes place in the Google Cloud console. This lab teaches you how to ingest data from a CSV file into tables in BigQuery.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Building Batch Pipelines in Cloud Data Fusion

Learn to build ETL pipelines using Cloud Data Fusion's Pipeline Studio, exploring built-in plugins and applying data transformations with the Wrangler tool in Google Cloud's environment.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Getting Started with Cloud Data Fusion

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to create a Data Fusion instance and deploy a sample pipeline

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Check Point: Next-Gen Data Center Security CloudGuard for Google Cloud

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to deploy a basic day-to-day scenario with CloudGuard in place

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Preparing and Aggregating Data for Visualizations using Cloud Dataprep

This is a self-paced lab that takes place in the Google Cloud console. Dataprep by Trifacta is Google's self-service data preparation tool built in collaboration with Trifacta. In this lab you will learn some more advanced techniques with Dataprep.

• Coursera
• 1 hour 20 minutes
• Self-Paced
• Paid Course

Confluent: Clickstream Data Analysis Pipeline Using ksqlDB

This is a self-paced lab that takes place in the Google Cloud console. This lab will cover how to create a clickstream data analysis pipeline using ksqlDB.

• Coursera
• 1 hour
• Self-Paced
• Paid Course