Data Protection Courses

Introduction to Statistics for Data Science using Python

This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis.

• edX
• 4 weeks, 3-4 hours/week
• Self-Paced
• Free Certificate

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

Credential

Data Engineering

Comprehensive program covering data engineering fundamentals, databases, SQL, Python, ETL, data pipelines, big data tools, and hands-on projects for practical skills development and career readiness.

• edX
• 57 weeks, 3-4 hours/week
• Self-Paced
• $1,196.00
• 10 courses

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

Data Publishing on BigQuery using Authorized Views for Data Sharing Partners

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how Authorized Views in BigQuery can be used to share customer specific data from a Data Sharing Partner.

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

Data Publishing on BigQuery for Data Sharing Partners

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to share datasets and publish datasets with BigQuery.

• Coursera
• 45 minutes
• Self-Paced
• Paid Course

Analytics as a Service for Data Sharing Partners

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how Authorized Views in BigQuery can be shared and consumed to create customer-specific dashboards.

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

Consuming Customer Specific Datasets from Data Sharing Partners using BigQuery

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to create Data Twins for customers on Google Cloud or a different cloud service provider.

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

Data Loss Prevention: Qwik Start - JSON

Learn to use Google Cloud's Data Loss Prevention API to detect and protect sensitive information in JSON data through hands-on practice in the console.

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

Migrating MySQL User Data When Running Database Migration Service Jobs

Learn to migrate MySQL user data using Database Migration Service, including updating DEFINERs, creating users, and verifying migrated data in Cloud SQL for MySQL.

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

Loading Data into Google Cloud SQL

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will import data from CSV text files into Cloud SQL and then carry out some basic data analysis using simple queries.

• Coursera
• 45 minutes
• Self-Paced
• Paid Course

statistics.com

MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services

Automate and optimize data pipelines using AWS, covering drift monitoring, model stability, CI/CD, and responsible AI practices for improved ML project deployment and performance.

• edX
• 4 weeks, 5-6 hours/week
• Self-Paced
• Free Certificate

statistics.com

MLOps2 (Azure): Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning

Automate and optimize data pipelines using Azure Machine Learning. Learn monitoring, drift detection, triggers, alarms, CI/CD, and responsible AI practices for robust and ethical ML deployments.

• edX
• 4 weeks, 5-7 hours/week
• Self-Paced
• Free Certificate

statistics.com

MLOps2 (GCP): Data Pipeline Automation & Optimization using Google Cloud Platform

Automate and optimize data pipelines on GCP, covering drift monitoring, model stability, CI/CD, and responsible AI practices for successful ML project deployment.

• edX
• 4 weeks, 5-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Serverless Data Processing with Dataflow: Develop Pipelines en Español

Desarrollo avanzado de canalizaciones con Apache Beam: procesamiento de datos en tiempo real, optimización de rendimiento y uso de SQL y DataFrames en Google Cloud Dataflow.

• Coursera
• 15 hours 56 minutes
• Self-Paced
• Paid Course