Data Protection Courses

Healthcare Data Management, Security, and Compliance

Master healthcare data management with Azure services, FHIR/HL7 standards, encryption protocols, access controls, and compliance frameworks to protect patient privacy.

• Coursera
• 1 day 19 hours 14 minutes
• Self-Paced
• Paid Course

Intro to Python: Setup and Data Processing

Master Python fundamentals from setup to data processing, working with strings, numbers, lists, dictionaries, and sets in a beginner-friendly environment.

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

PCEP: Python Data Processing

Discover how to process integers, strings, lists, sets, and dictionaries while developing essential Python data manipulation skills through hands-on practice.

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

Power BI: Data Analysis, Reporting, and Connecting

Discover how to analyze data and create compelling reports using Power BI's self-service business intelligence capabilities and data source connections.

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

Power BI: Data Cleaning, Transformation, and Visualization

Master data cleaning, transformation, and visualization techniques in Power BI to create compelling reports that effectively communicate insights and tell your data story.

• Coursera
• 6 hours 25 minutes
• Self-Paced
• Paid Course

Python Data Science: Environment Setup

Discover how to set up a Python data science environment using Anaconda and Jupyter for effective business data analysis and knowledge extraction.

• Coursera
• 2 hours 25 minutes
• Self-Paced
• Paid Course

Python Data Science: NumPy

Master NumPy fundamentals for data science: create arrays, load/save data, analyze datasets, and transform arrays for effective data manipulation and insights extraction.

• Coursera
• 4 hours 25 minutes
• Self-Paced
• Paid Course

Python Data Science: pandas, Matplotlib, and Seaborn

Master pandas DataFrames, Matplotlib, and Seaborn to analyze, manipulate, and visualize data effectively in Python for comprehensive data science workflows.

• Coursera
• 10 hours 20 minutes
• Self-Paced
• Paid Course

R Programming: Data Analysis and Modeling

Dive into R's data science capabilities with data manipulation, analysis, visualization using ggplot2, and statistical/machine learning modeling for predictions.

• Coursera
• 18 hours
• Self-Paced
• Paid Course

R Programming: Setup and Data Processing

Master R programming fundamentals from setup to data processing, covering atomic types, vectors, factors, and data frames for data science applications.

• Coursera
• 10 hours 25 minutes
• Self-Paced
• Paid Course

Coursera

Transform Data: SQL & Pandas Mastery

Master SQL dialect differences and advanced Pandas aggregation to transform raw event data into actionable insights across multiple platforms.

• Coursera
• 1 hour 40 minutes
• Self-Paced
• Paid Course

Coursera

Building Data Centers - Maximum Environmental Sustainability

Master data center sustainability by analyzing PUE, CUE, and WUE metrics, evaluating cooling architectures, and building ESG-aligned action plans with ISO 14064 verification protocols.

• Coursera
• 4 hours 24 minutes
• Self-Paced
• Paid Course

Coursera

Retrieve & Prep Data

Master data preparation for people analytics—fix CSV imports, clean HRIS exports, verify data quality, and document processes using AI tools like ChatGPT.

• Coursera
• 1 hour 32 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

People Data Foundations: Metrics & Visualization

Master people analytics by transforming HR data into actionable insights—covering HRIS fundamentals, workforce visualizations, statistics, and AI-powered communication for strategic decision-making.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 11 courses

Edureka

Data Analysis and Dashboard Design with Tableau

Master advanced Tableau techniques including LOD expressions, time-series analysis, and Python integration to build scalable, insight-driven dashboards for enterprise use.

• Coursera
• 13 hours
• Self-Paced
• Paid Course