Data Protection Courses

Use Go Code to Work with Google Cloud Data Sources

This is a self-paced lab that takes place in the Google Cloud console. In this lab you explore the basics of Go (golang) by compiling and testing a Go app interactively, deploying it to App Engine, then access data in BigQuery and Firestore.

• Coursera
• 1 hour 10 minutes
• Self-Paced
• Paid Course

Coursera

Analyze Sales Data with LibreOffice Base Queries

Develop LibreOffice Base queries to analyze sales data, providing insights on product performance, pricing, and customer behavior for better decision-making and business optimization.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

Credential

Data Engineering Fundamentals

Comprehensive introduction to data engineering, covering Python, SQL, databases, and data management. Hands-on labs provide practical skills for aspiring data engineers.

• edX
• 17 weeks, 4-6 hours/week
• Self-Paced
• $524.00
• 2 courses

Credential

Data Science Foundations

Gain essential skills in data science and machine learning, covering tools, methodologies, Python, SQL, and data analysis. No prior experience needed for this career-launching program.

• edX
• 24 weeks, 2-6 hours/week
• Self-Paced
• $396.00
• 3 courses

Credential

Accounting Data Analytics

Develop an analytics mindset and master data analytics tools in accounting, from Excel to Python, covering visualization, analysis, and machine learning applications.

• Coursera
• 30 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 4 courses

Credential

Data Science Fundamentals with Python and SQL

Comprehensive introduction to data science essentials, covering Python, SQL, statistics, and tools. Hands-on practice with real datasets prepares learners for advanced projects and career opportunities.

• Coursera
• 30 weeks, 3 hours a week
• Self-Paced
• Paid Course
• 3 courses

Credential

Data Analysis and Visualization Foundations

Learn essential data analysis and visualization skills using Excel and Cognos. Gain hands-on practice in data manipulation, creating various chart types, and building interactive dashboards to effectively communicate insights.

• Coursera
• 17 weeks, 2 hours a week
• Self-Paced
• Paid Course
• 3 courses

Coursera

Process Map Data using C++ Adjacency List Shortest Path

Implement adjacency list data structure in C++ to find shortest paths between towns, with applications in map routing and network optimization.

• Coursera
• 2 hours 5 minutes
• Self-Paced
• Paid Course

Coursera

Create Mapping Data Flows in Azure Data Factory

Learn to create and manage mapping data flows in Azure Data Factory, including source configuration, transformations, and data storage in blob containers.

• Coursera
• 2 hours 23 minutes
• Self-Paced
• Paid Course

Redacting Sensitive Data with Cloud Data Loss Prevention

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn the basic capabilities of Cloud Data Loss Prevention and the various ways it can be used to protect data.

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

Learn Ventures

Intro to Data Science & Machine Learning

A first introduction to data science and machine learning. Use Python to acquire, clean, and analyze data using powerful machine leanring models and popular data science libraries.

• edX
• 8 weeks, 1-5 hours/week
• Self-Paced
• Free Certificate

Coursera

Analyze Data in Azure ML Studio

Explore data analysis techniques in Azure ML Studio, including descriptive statistics, correlation analysis, and data visualization using a diabetes dataset and Jupyter notebooks.

• Coursera
• 1 hour 25 minutes
• Self-Paced
• Paid Course

Coursera

Use Java APIs to sort and search a collection of data

In this project, the learner will use the Java API to sort and search arrays and lists by implementing the Collections sort function, the binarySearch function, and the Comparator and Comparable interfaces.

• Coursera
• 1 hour 58 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

Codio Credential

Data Science and Analysis Tools - from Jupyter to R Markdown

Comprehensive introduction to data science using Python and R, covering data wrangling, analysis, and visualization. Ideal for beginners seeking practical skills in handling diverse datasets and creating informative visualizations.

• Coursera
• 12 weeks, 2 hours a week
• Self-Paced
• Paid Course
• 4 courses