Data Protection Courses

Introduction to Genomic Data Science

Join us on the frontier of bioinformatics and learn how to look for hidden messages in DNA without ever needing to put on a lab coat.

• edX
• Self-Paced
• Free Online Course

Data Management for Clinical Research

5 ratings

Learn critical concepts and practical methods for planning, collecting, storing, and disseminating data in clinical research. Covers electronic data capture, regulatory compliance, and best practices for effective data management.

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

Credential

Accounting Data Analytics Graduate Certificate

1 rating

Develop career-relevant skills that can be immediately applied across a wide array of organizations and industries.

• Coursera
• 24-36 weeks
• Self-Paced
• Paid Course

3D Data Visualization for Science Communication

1 rating

Learn to create engaging 3D scientific visualizations, focusing on effective communication and cinematic design. Develop skills in data interpretation, spatial analysis, and appealing to broad audiences through visual storytelling.

• Coursera
• 1 day 8 hours 41 minutes
• Self-Paced
• Paid Course

Infonomics I: Business Information Economics and Data Monetization

117 ratings at Coursera

Explore information as a business asset, its unique economic properties, and methods for monetization through real-world cases and applied analytics.

• Coursera
• 13 hours 59 minutes
• Self-Paced
• Paid Course

Statistics: Unlocking the World of Data

2 ratings

Explore the ideas and methods behind the statistics you encounter in everyday life.

• edX
• 8 weeks, 4-6 hours/week
• Self-Paced
• Free Online Course

Bertelsmann;  Figure Eight;  IBM;  Insight;  Kaggle;  Starbucks Credential

Data Scientist

11 ratings

Gain practical experience in data pipelines, experiments, recommendation systems, and more. Develop essential skills in software engineering, data engineering, and experimental design for a successful data science career.

• Udacity
• 61 hours
• Self-Paced
• Paid Course

Credential

Python, Bash and SQL Essentials for Data Engineering

478 ratings at Coursera

Desarrolla habilidades esenciales en Python, Bash y SQL para la ingeniería de datos con ejercicios prácticos y estrategias aplicables, guiado por ingenieros profesionales.

• Coursera
• 16 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 4 courses

Python and Pandas for Data Engineering

273 ratings at Coursera

Learn Python and Pandas for data engineering, covering environment setup, data manipulation, and analysis. Gain hands-on experience with Jupyter, Vim, and VS Code while exploring essential Python concepts and Pandas operations.

• Coursera
• 2 days 4 hours 12 minutes
• Self-Paced
• Paid Course

Linux and Bash for Data Engineering

136 ratings at Coursera

Master Linux and Bash essentials for data engineering tasks. Learn file management, shell scripting, and command-line tools to enhance your development environment and solve common data problems efficiently.

• Coursera
• 2 days 17 hours 34 minutes
• Self-Paced
• Paid Course

Credential

Applied Python Data Engineering

125 ratings at Coursera

Leverage big data for business strategy and AI using Python. Master data pipelines, platforms like Hadoop and Spark, and data visualization techniques. Ideal for engineers and data professionals.

• Coursera
• 20 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Scripting with Python and SQL for Data Engineering

111 ratings at Coursera

Learn Python and SQL for data engineering: work with data structures, connect to databases, perform web scraping, and execute SQL queries using modern tools. Gain practical skills for effective data manipulation and extraction.

• Coursera
• 1 day 2 minutes
• Self-Paced
• Paid Course

Credential

Programming for Python Data Science: Principles to Practice

99 ratings at Coursera

Master Python data science essentials from fundamentals to advanced modeling, working hands-on with NumPy, Pandas, and Matplotlib to build a complete data analysis skillset for creating impactful insights and visualizations.

• Coursera
• 16 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 5 courses

Cloud Data Engineering

92 ratings at Coursera

Develop data engineering skills for cloud computing, covering serverless pipelines, ETL, databases, and storage. Apply best practices through hands-on projects using AWS, Azure, or GCP.

• Coursera
• 1 day 17 hours 11 minutes
• Self-Paced
• Paid Course

Spark, Hadoop, and Snowflake for Data Engineering

70 ratings at Coursera

Master data engineering with Hadoop, Spark, and Snowflake. Build efficient pipelines, optimize platforms, and integrate MLflow. Explore Databricks for analytics and machine learning, while applying DevOps and DataOps methodologies.

• Coursera
• 1 day 5 hours 55 minutes
• Self-Paced
• Paid Course