Data Manipulation at Scale: Systems and Algorithms by University of Washington
Data Manipulation at Scale: Systems and Algorithms offered by University of Washington is among the Best Online Data Manipulation Courses. People are drowning in data analysis, which has supplanted data acquisition as the bottleneck to evidence-based decision making. Extraction of knowledge from vast, heterogeneous, and noisy datasets necessitates not only powerful computer resources, but also the programming abstractions necessary to make them work. In the recent decade, abstractions have arisen that combine ideas from parallel databases, distributed systems, and programming languages to build a new class of scalable data analytics platforms that serve as the foundation for data science at realistic sizes.
The landscape of relevant systems, the principles on which they rely, their tradeoffs, and how to evaluate their value against your objectives will all be covered in this course. You'll learn how real systems were created from cutting-edge computer science research, as well as what systems are in the horizon. Cloud computing, SQL and NoSQL databases, MapReduce and the ecosystem it generated, Spark and its contemporaries, and graph and array specialist systems will all be explored.
You'll also learn about data science's history and background, as well as the skills, difficulties, and approaches that the word implies, as well as how to structure a data science project.
This course offers:
- Flexible deadlines: Set and maintain flexible deadlines.
- Certificate : Earn a Certificate upon completion
- 100% online
- Beginner Level
- Approx. 20 hours to complete
- Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
- Course 1 of 4 in the Data Science at Scale Specialization
Coursera Rating: 4.3/5
Enroll here: https://www.coursera.org/learn/data-manipulation
