Data Protection Courses

Python and Pandas for Data Engineering

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

Virtualization, Docker, and Kubernetes for Data Engineering

Explore virtualization, Docker, and Kubernetes for data engineering. Master containerization, cloud-based orchestration, and advanced topics like AI-driven coding and SRE practices. Gain hands-on experience with industry-standard tools.

• Coursera
• 1 day 3 hours 15 minutes
• Self-Paced
• Paid Course

Web Applications and Command-Line Tools for Data Engineering

Explore Jupyter notebooks, cloud-hosted environments, Python microservices, and command-line tools for data engineering tasks. Build and deploy scalable solutions for machine learning and data processing.

• Coursera
• 1 day 19 hours 31 minutes
• Self-Paced
• Paid Course

Spark, Hadoop, and Snowflake for Data Engineering

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

Scripting with Python and SQL for Data Engineering

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

Data Management and Visualization

5 ratings

Aprenda a gerenciar e visualizar dados usando ferramentas poderosas como SAS ou Python para desenvolver perguntas de pesquisa, analisar variáveis e apresentar resultados de forma clara e eficaz.

• Coursera
• 12 hours 11 minutes
• Self-Paced
• Paid Course

Big Data, Genes, and Medicine

1 rating

Explore the intersection of big data and genomics, learning to analyze and interpret genetic information for healthcare applications using R programming and bioinformatics techniques.

• Coursera
• 1 day 16 hours 5 minutes
• Self-Paced
• Paid Course

Materials Data Sciences and Informatics

Explore materials informatics at the intersection of materials science, computational science, and information science. Learn data-driven approaches to accelerate materials development and deployment.

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

Learning from Data (Introductory Machine Learning course)

10 ratings

Comprehensive introduction to machine learning theory, algorithms, and applications, balancing mathematical foundations with practical insights for students from diverse backgrounds.

• Independent
• 10 weeks
• Self-Paced
• Free Online Course

PwC

Data-driven Decision Making

7 ratings

Explore data analytics' role in business decisions, learn about big data, and apply a framework for analysis using various tools and techniques in a simulated business setting.

• Coursera
• 8 hours 57 minutes
• Self-Paced
• Paid Course

GIS Data Formats, Design and Quality

2 ratings

Explore GIS data types, structures, and quality. Learn vector and raster concepts, create data models, work with geodatabases, assess datasets, and create web maps using ArcGIS tools and ArcGIS Online.

• Coursera
• 1 day 2 hours 36 minutes
• Self-Paced
• Paid Course

Excel Fundamentals for Data Analysis

6 ratings

As data becomes the modern currency, so the ability to analyse the data quickly and accurately has become of paramount importance.

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

Understanding China, 1700-2000: A Data Analytic Approach, Part 2

3 ratings

Explore China's modern history through data analysis, examining population behavior, mortality, marriage, and reproduction in comparison to Western experiences.

• Coursera
• 5 hours 41 minutes
• Self-Paced
• Paid Course

Machine Learning for Data Analysis

4 ratings

Explore machine learning techniques for predictive analysis, covering decision trees, random forests, lasso regression, and k-means clustering. Gain hands-on experience applying these algorithms to real-world data.

• Coursera
• 10 hours 28 minutes
• Self-Paced
• Paid Course

Data Analysis Tools

4 ratings

Develop and test data hypotheses using statistical tests like ANOVA, Chi-Square, and Pearson correlation. Learn to apply appropriate tests and explore statistical interactions using SAS or Python.

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