Data Protection Courses

Data Science Decisions in Time: Using Causal Information

Explore causal decision-making in data science, focusing on optimizing policies, pricing, and actions using causal structures and advanced analytical techniques for business, medical, and technological applications.

• Coursera
• 1 day 5 hours 23 minutes
• Self-Paced
• Paid Course

Data Science Decisions in Time: Information Theory & Games

Explore decision-making in dynamic environments through game theory, cooperative games, and opponent prediction. Learn to optimize strategies in complex social interactions and extract relevant features for informed choices.

• Coursera
• 1 day 4 minutes
• Self-Paced
• Paid Course

Data Analysis Using Hadoop Tools

Master Hadoop ecosystem tools like Hive, Pig, HBase, and Spark for advanced big data processing and analysis. Gain hands-on experience with SQL querying, data transformation, NoSQL databases, and in-memory computation.

• Coursera
• 23 hours 39 minutes
• Self-Paced
• Paid Course

Calculus through Data & Modeling: Applying Differentiation

Apply differentiation to optimize functions, estimate complex equations, and solve real-world problems in data analysis, machine learning, and business through linear approximations and multivariable calculus techniques.

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

Calculus through Data & Modeling: Limits & Derivatives

Explore limits and derivatives in calculus through data modeling, learning to analyze rates of change and apply mathematical concepts to real-world scenarios.

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

Calculus through Data & Modeling: Precalculus Review

Review of key precalculus concepts for calculus, focusing on functions, modeling, and data analysis. Covers exponential, logarithmic, and trigonometric functions, vectors, and equations of lines and planes.

• Coursera
• 7 hours 56 minutes
• Self-Paced
• Paid Course

Calculus through Data & Modelling: Vector Calculus

Explore vector calculus applications, including vector fields, line integrals, and Green's Theorem. Develop advanced mathematical skills for data analysis and real-world problem-solving in multivariable calculus.

• Coursera
• 4 hours 42 minutes
• Self-Paced
• Paid Course

Calculus through Data & Modelling: Integration Applications

Explore calculus applications through data and modeling, focusing on integration techniques for real-world problem-solving in areas like physics, economics, and geometry.

• Coursera
• 5 hours 32 minutes
• Self-Paced
• Paid Course

Calculus through Data & Modelling: Techniques of Integration

Explore multivariable integration, vector functions, and numerical techniques. Extend calculus concepts to higher dimensions and real-world applications through data analysis and modeling.

• Coursera
• 4 hours 54 minutes
• Self-Paced
• Paid Course

Cybersecurity Foundations: Threats Networks, and IoT Protection

Master essential cybersecurity skills through hands-on practice with malware analysis, network monitoring, internet protocols, and IoT security. Build practical expertise using tools like SiLK, Wireshark, and Docker.

• Coursera
• 1 day 7 hours 35 minutes
• Self-Paced
• Paid Course

Advanced Data Visualization with R

Expand your R data visualization skills with advanced ggplot2 techniques, spatial data mapping, and interactive/animated figures using Plotly and gganimate. Master cutting-edge visualization methods for impactful data presentation.

• Coursera
• 10 hours 32 minutes
• Self-Paced
• Paid Course

Data Visualization in R with ggplot2

Learn to create and refine powerful data visualizations using ggplot2 in R. Master the grammar of graphics, explore various plot types, and enhance your plots with advanced graphical elements.

• Coursera
• 12 hours 32 minutes
• Self-Paced
• Paid Course

Getting Started with Data Visualization in R

Learn to create impactful data visualizations using R and tidyverse. Import data, manipulate it effectively, and produce simple reports with R Markdown. Ideal for beginners seeking practical skills in data visualization.

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

Data Visualization Capstone

Apply data visualization skills to create a compelling story using public data and R, culminating in a unique project that showcases advanced techniques and storytelling abilities.

• Coursera
• 21 hours 33 minutes
• Self-Paced
• Paid Course

Career Certificate

Data Literacy

Develop critical skills in interpreting statistical results through descriptive statistics, data visualization, measurement, regression modeling, and probability, enhancing your ability to evaluate quantitative analyses.

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