Data Protection Courses

Cybersecurity for Data Science

30 ratings at Coursera

Learn essential cybersecurity concepts, tools, and techniques for data science, including risk mitigation, authentication, access control, and ethical considerations to ensure data security and privacy.

• Coursera
• 19 hours 11 minutes
• On-Demand
• Paid Course

Software Architecture Patterns for Big Data

31 ratings at Coursera

Transform big data prototypes into production-ready systems. Learn to measure performance, identify bottlenecks, and implement scalable solutions. Design load tests and optimize data stores for high-performance distributed systems.

• Coursera
• 1 day 1 hour 44 minutes
• On-Demand
• Paid Course

Data Mining Project

31 ratings at Coursera

Gain hands-on experience designing and implementing a real-world data mining project, from problem formulation to evaluation and future work.

• Coursera
• 19 hours 21 minutes
• On-Demand
• Paid Course

Data Driven Decision Making

31 ratings at Coursera

Learn statistical analysis techniques for data-driven decision making, including one and two sample tests, correlation, and ANOVA. Gain practical skills using RStudio and ROIStat for various data types and scenarios.

• Coursera
• 12 hours 19 minutes
• On-Demand
• Paid Course

Microcredential

Data Analysis with Python

29 ratings at Coursera

Comprehensive overview of data analysis techniques using Python, covering classification, regression, clustering, and more. Includes hands-on examples and a final project.

• Coursera
• 8 weeks, 10 hours a week
• On-Demand
• Paid Course
• 5 courses

Microcredential

Statistical Learning for Data Science

20 ratings at Coursera

Gain advanced statistical learning techniques for data science, including model selection, regression, classification, and unsupervised learning. Develop skills to explain and justify models effectively.

• Coursera
• 16 weeks, 9 hours a week
• On-Demand
• Paid Course
• 3 courses

Fundamental Tools of Data Wrangling

20 ratings at Coursera

Learn essential data wrangling tools: Python, data structures, NumPy, and pandas. Gain hands-on experience in manipulating, cleaning, and analyzing data for effective preparation and valuable insights.

• Coursera
• 1 day 2 hours 42 minutes
• On-Demand
• Paid Course

Applications of Software Architecture for Big Data

19 ratings at Coursera

Develop production-ready distributed systems for big data, applying software engineering principles to create loosely coupled, highly cohesive applications with scalable features.

• Coursera
• 17 hours 17 minutes
• On-Demand
• Paid Course

Defining, Describing, and Visualizing Data

15 ratings at Coursera

Learn to analyze and visualize data effectively, using tools like RStudio and ROIStat to make informed decisions and solve problems in engineering and technical fields.

• Coursera
• 9 hours 21 minutes
• On-Demand
• Paid Course

Data Collection and Integration

15 ratings at Coursera

Comprehensive techniques for gathering and integrating data from diverse sources, emphasizing practical experience with tools like Pandas, Beautiful Soup, and SQL to handle real-life datasets.

• Coursera
• 1 day 4 hours 8 minutes
• On-Demand
• Paid Course

Data Analysis with Tidyverse

13 ratings at Coursera

Learn to analyze data using R's Tidyverse: import, tidy, manipulate relational data, work with strings and categorical variables. Gain practical skills for effective data analysis and visualization.

• Coursera
• 17 hours 3 minutes
• On-Demand
• Paid Course

Microcredential

Data Visualization & Analytics in Tableau

10 ratings at Coursera

Master data visualization with Tableau, learning to create effective visualizations, dashboards, and stories that transform complex data into clear insights, enhancing your analytics skills and marketability.

• Coursera
• 12 weeks, 4 hours a week
• On-Demand
• Paid Course
• 2 courses

Degree

Master of Science in Data Science

An interdisciplinary, applied data science master’s degree with performance-based admissions and no application process.

• Coursera
• On-Demand
• Paid Course
• 17 courses

Microcredential

Data Science Graduate Certificate

Develop interdisciplinary skills in data science and gain knowledge of statistical analysis, data mining, and machine learning from one of the nation’s top-ranked Tier 1 research institutions.

• Coursera
• 24-36 weeks
• On-Demand
• Paid Course

Microcredential

Foundations of Data Structures and Algorithms

Comprehensive exploration of data structures and algorithms, focusing on efficient data organization and operations for data science applications. Covers arrays, hash-tables, trees, graphs, sorting, searching, and more.

• Coursera
• On-Demand
• Paid Course
• 5 courses