Data Protection Courses

Linux and Bash for Data Engineering

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

Advanced Data Engineering

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

MySQL-for-Data-Engineering

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

Pandas for Data Science

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

Cloud Data Engineering

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

Data Engineering with Rust

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

Data Science with NumPy, Sets, and Dictionaries

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

Data Science Ethics with R

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 Tidying and Importing with R

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 Visualization with Python

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

Designing Larger Python Programs for Data Science

Learn to design complex Python programs for data science, covering top-down design, Monte Carlo simulations, and efficient code integration. Develop skills to handle large-scale projects and simulate real-world problems.

• Coursera
• 1 day 18 hours 12 minutes
• Self-Paced
• Paid Course

Data Science for Agile Decision-Making

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 Visualization and Modeling in Python

Master data visualization and modeling techniques using matplotlib, KNN classification, and regression analysis to create impactful insights and professional-quality plots for real-world data science applications.

• Coursera
• 1 day 8 hours 14 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

Data Visualization and Transformation with R

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