Data Protection Courses

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

EDUCBA

Apply Power BI Projects for Data Analytics

Master Power BI through hands-on projects using real datasets to build interactive dashboards, perform geographic analysis, and create mobile-ready reports for business intelligence.

• Coursera
• 9 hours 4 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

EDUCBA

Build Data Visualizations and Reports Using Power BI

Master data visualization and reporting with Microsoft Power BI through hands-on projects, transforming raw data into interactive dashboards and business insights.

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

EDUCBA

Build Interactive Data Apps with R Shiny Fundamentals

Master interactive data visualization by building web applications with R Shiny, covering UI design, server logic, and reactive programming for dynamic dashboards.

• Coursera
• 3 hours 49 minutes
• Self-Paced
• Paid Course

EDUCBA

Build Interactive R Shiny Data Apps for NGOs

Master interactive R Shiny development to create responsive NGO data dashboards with reactive programming, custom visualizations, and cloud deployment capabilities.

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

Coursera Career Certificate

Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI

Master scalable data engineering with SQL, Spark, Kafka & GenAI through hands-on projects that mirror real-world enterprise challenges and cutting-edge technologies.

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

Board Infinity Career Certificate

Data Center Virtualization: From Foundations to Mastery

Master VMware vSphere 8.x installation, configuration, and management while preparing for VCP-DCV 2024 certification through hands-on experience with ESXi, vCenter, and advanced features.

• Coursera
• 12 weeks, 4 hours/week
• Self-Paced
• Paid Course

EDUCBA

Apache Spark with Scala: Master Data Building & Analysis

Master Apache Spark with Scala to build scalable big data applications, implement real-time streaming, and create fault-tolerant data pipelines for analytics roles.

• Coursera
• 8 hours 44 minutes
• Self-Paced
• Paid Course

EDUCBA

Apache Spark: Apply & Evaluate Big Data Workflows

Master Apache Spark's distributed data processing through RDD operations, persistence strategies, and file format handling for scalable big data workflows.

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

Data Science Fundamentals Part 1: Unit 1

Discover data science fundamentals through Python, building real projects like an Airbnb recommender while mastering pandas, NumPy, and scikit-learn with authentic datasets.

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

Data Science Fundamentals Part 1: Unit 2

Discover real-world data sourcing through web scraping, APIs, and databases while mastering XML/JSON parsing and ETL pipelines for effective data transformation and analysis.

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

Data Science Fundamentals Part 1: Unit 3

Master relational databases, ORMs, ETL pipelines, and data validation using Pandas to build robust data management systems and uncover meaningful insights from datasets.

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

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