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Data Manipulation at Scale: Systems and Algorithms
Master large-scale data analysis using SQL, NoSQL, MapReduce, and distributed systems for effective data science.
Course Cost
Free course
Intermediate
Skill Level
18 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Science at Scale Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
What you'll learn
Master relational algebra and database concepts
Implement MapReduce algorithms for large-scale data processing
Understand NoSQL systems and their trade-offs
Develop scalable data manipulation solutions
Analyze complex graph-structured data
Evaluate different big data systems and architectures
Skills you'll gain
This course includes:
8.4 Hours PreRecorded video
3 programming assignments
Access on Mobile, Tablet, Desktop
FullTime access
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
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There are 5 modules in this course
This comprehensive course explores advanced data manipulation techniques and systems for large-scale data analysis. Students learn fundamental concepts in distributed computing, database systems, and algorithmic thinking. The curriculum covers relational algebra, MapReduce programming model, NoSQL systems, and specialized systems for graphs and arrays. Through hands-on programming assignments, learners develop practical skills in implementing scalable data solutions using modern big data platforms and technologies.
Data Science Context and Concepts
Module 1 · 5 Hours to complete
Relational Databases and the Relational Algebra
Module 2 · 5 Hours to complete
MapReduce and Parallel Dataflow Programming
Module 3 · 5 Hours to complete
NoSQL: Systems and Concepts
Module 4 · 2 Hours to complete
Graph Analytics
Module 5 · 1 Hours to complete
Fee Structure
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
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