Data Protection Courses

Data Science Project Capstone: Predicting Bicycle Rental

22 ratings at Coursera

Dive into predictive modeling with linear regression to forecast bicycle rental demand, analyzing weather patterns and temporal factors while mastering data acquisition and correlation techniques.

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

Data-driven websites: JSON, APIs and Templates

Discover how to transform static web pages into dynamic applications using JavaScript, JSON, APIs, and template engines for data-driven development.

• Coursera
• 7 hours 31 minutes
• Self-Paced
• Paid Course

Data Analyst Bootcamp for Beginners (SQL, Tableau, Power BI, Python, Excel, Pandas, Projects, more)

9 ratings

Comprehensive training in SQL, Excel, Tableau, Power BI, Python, and Pandas with hands-on projects. Learn data analysis techniques, visualization tools, and portfolio-building skills for career advancement.

• freeCodeCamp
• 19 hours 24 minutes
• Self-Paced
• Free Video

MongoDB

Data Wrangling with MongoDB

9 ratings

Data Scientists spend most of their time cleaning data. In this course, you will learn to convert and manipulate messy data to extract what you need.

• Udacity
• 46 hours
• Self-Paced
• Free Online Course

Excel for Everyone: Data Management

30 ratings at edX

Further your Excel skills to manage larger datasets and more complex data wrangling, management and modelling.

• edX
• 6 weeks, 2-4 hours/week
• Self-Paced
• Free Online Course (Audit)

Excel for Everyone: Data Analysis Fundamentals

27 ratings at edX

Perform advanced data wrangling, analysis and dashboard visualization to help drive strategic decision-making.

• edX
• 6 weeks, 2-4 hours/week
• Self-Paced
• Free Online Course (Audit)

Coding Data Models with AI

Master data model design and AI integration to build full-stack applications using Firebase, OpenAI APIs, and professional development tools like Cursor IDE.

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

Coding Data Models with AI

Master data model design and AI integration to build full-stack applications using Firebase, OpenAI APIs, and professional development tools like Cursor IDE.

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

Credential

Data Science Foundations

117388 ratings at Coursera

Master essential data science skills through IBM tools and academic foundations, from Python programming to machine learning, preparing for high-demand roles with hands-on projects and industry insights.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 8 courses

Data Analysis and Visualization with Python

15 ratings at Coursera

Learn to analyze and visualize data using Python, covering file operations, data structures, and libraries like pandas and Matplotlib. Gain practical skills for data manipulation and handling exceptions.

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

Extracting Value from Dark Data: ULEADD

Discover the ULEADD framework for extracting value from hidden data. Learn to identify unknowns, improve decision-making, and create structured solutions in various data scenarios.

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

Credential

Dark Data Migration and Architecture

Unlock the potential of hidden data assets through strategies for identifying, extracting, and leveraging dark data to drive organizational value and innovation.

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

Value Creation with Dark Data

In this course, you will learn next-level thinking about value creation with Dark Data, using a principled approach that demonstrates your ability to use dark data to add value to an end-deliverable.

• Coursera
• 11 hours 15 minutes
• Self-Paced
• Paid Course

Dark Data Basics - Understanding the Unknown

This course will help you learn the vocabulary and concepts necessary to understand- and use- Dark Data to create value for your organization.

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

Credential

Modern Statistics for Data-Driven Decision-Making

Master statistical methods for data-driven decisions across business, industrial, and social environments with probability, regression, Bayesian concepts, and classification techniques.

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