Data Protection Courses

Data Science Fundamentals Part 2: Unit 1

Master Python visualization libraries matplotlib and seaborn to create compelling plots, uncover data patterns, and navigate statistical pitfalls like Simpson's Paradox.

• Coursera
• 7 hours 33 minutes
• Self-Paced
• Paid Course

Data Science Fundamentals Part 2: Unit 2

Master statistical inference through hypothesis testing, confidence intervals, and A/B testing while learning to distinguish correlation from causation for robust data analysis.

• Coursera
• 6 hours 9 minutes
• Self-Paced
• Paid Course

Data Science Fundamentals Part 2: Unit 3

Master statistical modeling and machine learning with Python using real Airbnb data, covering probability, regression, model evaluation, and Scikit-learn implementation.

• Coursera
• 9 hours 16 minutes
• Self-Paced
• Paid Course

Packt

Advanced UI Components & Data Visualization in SwiftUI

Master advanced SwiftUI UI components and data visualization techniques including custom charts, color extensions, activity trackers, and MapKit integration for dynamic apps.

• Coursera
• 13 hours 35 minutes
• Self-Paced
• Paid Course

Coursera

Analyze GA4: Fix Your Data

Master GA4 data accuracy through traffic segmentation, engagement analysis, tag auditing, and error detection to create trustworthy reports and confidently interpret user behavior.

• Coursera
• 1 hour 51 minutes
• Self-Paced
• Paid Course

Coursera

Analyze Healthcare Data with Confidence

Master statistical analysis fundamentals for healthcare data, including confidence intervals, hypothesis testing errors, and Chi-square tests to support evidence-based patient care decisions.

• Coursera
• 2 hours 27 minutes
• Self-Paced
• Paid Course

EDUCBA

Apply Python Programming for Data & Automation Projects

Master Python programming through hands-on projects including data analysis, task automation, game development, and web applications with real-world industry scenarios.

• Coursera
• 21 hours 46 minutes
• Self-Paced
• Paid Course

EDUCBA

Apply Python for Practical Financial Data Analysis

Master Python programming for financial analysis, visualizing market trends, and interpreting key indicators using real-world datasets and industry-relevant techniques.

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

EDUCBA

Apply Quantitative Data Analysis Using R

Master statistical analysis and data visualization in R through hands-on practice with real datasets, descriptive statistics, correlation analysis, and clear result interpretation.

• Coursera
• 5 hours 21 minutes
• Self-Paced
• Paid Course

Coursera

Apply SCD2 to Build Dynamic Data Models

Master SCD2 logic to build dynamic data models that track historical changes, enabling accurate trend analysis and reliable business intelligence in enterprise warehouses.

• Coursera
• 1 hour 52 minutes
• Self-Paced
• Paid Course

EDUCBA

Apply SPSS Fundamentals for Data Analysis

Master SPSS interface navigation, data management, statistical analysis, and visualization through hands-on practice with menus and tools for confident data analysis workflows.

• Coursera
• 4 hours 14 minutes
• Self-Paced
• Paid Course

EDUCBA

Apply Hypothesis Testing with Minitab for Data Analysis

Master hypothesis testing with Minitab through hands-on analysis of real datasets, correlation techniques, and statistical decision-making for confident data-driven conclusions.

• Coursera
• 4 hours 17 minutes
• Self-Paced
• Paid Course

EDUCBA

Apply C++ Graphics to Visualize Pandemic Population Data

Master C++ graphics programming by building a complete pandemic statistics visualization application with real population data and scalable graph frameworks.

• Coursera
• 4 hours 9 minutes
• Self-Paced
• Paid Course

EDUCBA

Apply PostgreSQL Fundamentals for Data Management

Master PostgreSQL installation, database creation, data manipulation, and advanced querying techniques to build job-ready skills for database administration and data analysis roles.

• Coursera
• 7 hours 48 minutes
• Self-Paced
• Paid Course

EDUCBA

Apply Postman APIs for Customer Data Management

Master API-based customer data management using Postman and Flask through hands-on development, testing HTTP methods, and building complete backend workflows for real-world applications.

• Coursera
• 5 hours 7 minutes
• Self-Paced
• Paid Course