Data Management Courses

Building Fitness-Driven dApps: Streaming Google Fit Data with W3bstream

This is a self-paced lab that takes place in the Google Cloud console. Learn how to channel Google Fit data via W3bstream to develop decentralized applications (dApps) that mint crypto assets based on user fitness activities.

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

Estrategias efectivas en organizaciones data-driven

Identifica elementos de gobernanza y liderazgo en organizaciones data-driven. Aprende a tomar decisiones basadas en evidencia y utilizar herramientas de visualización para comunicar datos eficazmente.

• Coursera
• 15 hours
• 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

Coursera

Data Cleaning in Snowflake: Techniques to Clean Messy Data

Learn techniques to clean messy data in Snowflake, including identifying quality issues, using SQL functions, extracting dates, and correcting missing or duplicate information.

• Coursera
• 2 hours 41 minutes
• Self-Paced
• Paid Course

Codio

Data Security for Web Developers

Learn essential data security practices for web developers, covering SSL/TLS, GDPR, cryptography, and access control to protect user information and ensure compliance.

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

Creating a De-identified Copy of Data in Cloud Storage

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will create and run a Cloud DLP job using the DeID Findings Action to create a redacted and de-identified copy data in Cloud Storage.

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

Coursera

Conducting Exploratory Data Analysis

Systematic approach to investigate data using Python: comparisons, relationships, compositions, and distributions. Framework for professional and organized exploratory data analysis with seaborn, pandas, and matplotlib.

• Coursera
• 2 hours 3 minutes
• Self-Paced
• Paid Course

Creating a Data Warehouse Through Joins and Unions

This is a self-paced lab that takes place in the Google Cloud console. This lab focuses on how to create new reporting tables using SQL JOINS and UNIONs.

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

Creating a Data Transformation Pipeline with Cloud Dataprep

Visually explore, clean, and prepare structured and unstructured data for analysis using Cloud Dataprep's intuitive interface to build an efficient data transformation pipeline.

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

Business 106: Human Resource Management

Comprehensive overview of HR management covering job analysis, staffing, training, performance, compensation, labor relations, and international HR trends.

• Study.com
• 14 hours 56 minutes
• Self-Paced
• Paid Course

Finding Data in Google Sheets

This is a self-paced lab that takes place in the Google Cloud console. Finding specific content in large spreadsheets can be tricky. Learn to manipulate, search and substitute values in Google Sheets using features and functions like VLOOKUP, SUBSTITUTE…

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

Coursera

Data Balancing with Gen AI: Credit Card Fraud Detection

Learn to use Generative AI for data balancing in credit card fraud detection, improving model accuracy through synthetic data generation with GANs.

• Coursera
• 2 hours 57 minutes
• Self-Paced
• Paid Course

Exploring NCAA Data with BigQuery

Analyze NCAA basketball data using BigQuery to uncover insights from decades of games, teams, and player statistics.

• Coursera
• 45 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

CertNexus

Finalize a Data Science Project

Learn to present data science project results to stakeholders, build a web app for model demonstration, and automate model training and deployment pipelines. Ideal for experienced professionals in the CDSP program.

• Coursera
• 12 hours 22 minutes
• Self-Paced
• Paid Course