Data Protection Courses

Data Modeling Fundamentals

Build simple, precise data models by identifying entities, attributes, relationships, candidate and foreign keys, applying subtyping, and configuring scope, abstraction, time, filter, and mode settings.

• Coursera
• 10 weeks, 1 hour a week
• Self-Paced
• Paid Course

Data Visualizations with Plotly

Build interactive Python charts with Plotly Express and Graph Objects: statistical and 3D plots, geographic maps, sunburst and Sankey diagrams, subplots, and a deployed Dash dashboard.

• Coursera
• 6 weeks, 1 hour a week
• 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

Examining BigQuery Billing Data in Google Sheets

Connect Google Sheets to BigQuery with the Sheets data connector to query billing data, run analytic functions, and keep a sheet refreshed with current data.

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

Filtering and Sorting Data in Looker

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to filter and sort data, and create looks with Looker.

• Coursera
• 1 hour
• 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

Starweaver

Financial Modeling, Data Visualization & Storytelling

Build integrated 3-statement financial models with scenario and sensitivity logic, design executive dashboards in Excel and Power BI, and present findings through structured data storytelling.

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

Packt

Foundations of Industrial IoT Devices, Data Flow, & Security

Trace industrial data from sensors and actuators through PLCs, SCADA, MES and ERP, apply OPC Classic and OPC UA, and secure networks with firewalls and segmentation.

• Coursera
• 6 weeks, 1 hour a week
• Self-Paced
• Paid Course

Excel Formulas and Data Analysis Essentials

Build Excel formulas for logical, date, financial, statistical and lookup tasks, trap errors with ISERROR, protect and share workbooks, and chart worksheet data.

• Coursera
• 10 weeks, 1 hour a week
• Self-Paced
• Paid Course

Foundations of Data Science and Statistical Methods

Learn data science foundations: probability distributions, inferential statistics and linear algebra, batch and streaming data ingestion, storage options, and exploratory data analysis with common visualizations.

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

Packt

Foundations of Data Structures & Algorithms

Implement arrays, linked lists, hash tables, stacks, queues and sorting algorithms in Java, calculate time and space complexity, and solve Leetcode interview problems.

• Coursera
• 8 weeks, 2 hours a week
• Self-Paced
• Paid Course

Packt

Foundations of Data Structures & Algorithms in Python

Build data structures and algorithms in Python: calculate time and space complexity, implement arrays, linked lists and hash tables, and code sorting algorithms for Leetcode problems.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Foundations of Healthcare Data Privacy

Learn to protect patient data: apply privacy principles and HIPAA and international frameworks, classify data by sensitivity, and spot privacy risks in EHR and clinical workflows.

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

Coursera

Excel for Data Analysis

Use Excel's AVERAGE, MEDIAN, STDEV and COUNTIF functions plus conditional formatting to summarize datasets, highlight trends and outliers, and build a business summary report.

• Coursera
• 2 weeks, 1 hour a week
• Self-Paced
• Paid Course

Fundamentals of Big Data with Microsoft Azure

Explore big data fundamentals on Azure: the Five V's, IaaS/PaaS/SaaS models, Synapse and Data Factory, Databricks clusters with PySpark, and cost comparisons across Azure, AWS and GCP.

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