Data Protection Courses

Data Engineering with Rust

67 ratings at Coursera

Leverage Rust for efficient, safe data processing. Master data structures, concurrency, libraries, and system design. Build robust data engineering solutions with hands-on projects.

• Coursera
• 2 days 15 hours 51 minutes
• Self-Paced
• Paid Course

Credential

Data-Driven Decision-Making for Agile Organizations

52 ratings at Coursera

Master data-driven decision-making strategies to build agile dashboards, interpret business insights, and implement effective frameworks for strategic organizational success in complex environments.

• Coursera
• 4 weeks, 2 hours/week
• Self-Paced
• Paid Course
• 3 courses

Virtualization, Docker, and Kubernetes for Data Engineering

50 ratings at Coursera

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

43 ratings at Coursera

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

Data Visualization with Python

26 ratings at Coursera

Learn to create compelling data visualizations using Python, spreadsheets, and BI tools. Master histograms, scatterplots, and line plots with Pandas, Seaborn, Matplotlib, Plotly, Tableau, and Amazon QuickSight.

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

Agile Dashboards for Data-Driven Decision-Making

25 ratings at Coursera

Explore agile dashboards for real-time insights into organizational performance. Learn key metrics and tools for quick, informed decision-making in dynamic business environments.

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

Data Visualization and Transformation with R

25 ratings at Coursera

Explore, visualize, and analyze data using R and Tidyverse. Learn data transformation, exploratory analysis, and reproducible reporting with RStudio, Quarto, Git, and GitHub.

• Coursera
• 12 hours 55 minutes
• Self-Paced
• Paid Course

Data Science with NumPy, Sets, and Dictionaries

22 ratings at Coursera

Master NumPy, sets, and dictionaries for data science. Gain hands-on experience in data manipulation, analysis, and visualization. Develop skills in vectorization, randomization, and image processing for real-world applications.

• Coursera
• 1 day 6 hours 59 minutes
• Self-Paced
• Paid Course

Advanced Data Engineering

22 ratings at Coursera

Master advanced data engineering techniques for handling large-scale datasets, optimizing workflows, and implementing cutting-edge tools like Celery, Apache Airflow, and specialized databases for efficient data operations.

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

Pandas for Data Science

16 ratings at Coursera

Learn to use Pandas for data manipulation in Python. Master file operations, data cleaning, and dataset combination. Gain practical skills for efficient data handling and analysis in data science projects.

• Coursera
• 1 day 17 hours 49 minutes
• Self-Paced
• Paid Course

MySQL-for-Data-Engineering

13 ratings at Coursera

Gain hands-on experience with MySQL for data engineering, including database interaction, dataset manipulation, and Python integration.

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

Data Science for Agile Decision-Making

12 ratings at Coursera

Unlock data science techniques for agile business decisions. Learn to collect, analyze, and interpret data, driving insights and value. Ideal for leaders seeking to leverage data effectively.

• Coursera
• 2 hours 26 minutes
• Self-Paced
• Paid Course

Data Tidying and Importing with R

12 ratings at Coursera

Transform and manipulate data using tidyverse in R. Learn data tidying, importing, recoding, and web scraping techniques to prepare datasets for visualization and modeling.

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

Data Science Ethics with R

10 ratings at Coursera

Explore ethical responsibilities in data science, from identifying misleading visualizations to understanding data privacy and algorithmic bias using R programming.

• Coursera
• 6 hours 36 minutes
• Self-Paced
• Paid Course

Data Modeling and Prediction with R

Master linear and logistic regression in R to build predictive models, interpret relationships, and quantify uncertainty for data-driven decision making.

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