Learn the core concepts of computational thinking and how to collect, clean and consolidate large-scale datasets.
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What you need before starting this Computational Thinking and Big Data course:
Beginner-Friendly Course!
This course is designed for absolute beginners. No prior knowledge needed.
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Everything you need to know about this online course, from duration to certification
Computational thinking is an invaluable skill that can be used across every industry, as it allows you to formulate a problem and express a solution in such a way that a computer can effectively carry it out. In this course, part of the Big Data MicroMasters program, you will learn how to apply computational thinking in data science. You will learn core computational thinking concepts including decomposition, pattern recognition, abstraction, and algorithmic thinking. You will also learn about data representation and analysis and the processes of cleaning, presenting, and visualizing data. You will develop skills in data-driven problem design and algorithms for big data. The course will also explain mathematical representations, probabilistic and statistical models, dimension reduction and Bayesian models. You will use tools such as R and Java data processing libraries in associated language environments.
Difficulty Level
Introductory
Suitable for motivated learners
Subject Category
Computer Science, Data Analysis & Statistics
Part of our Computer Science, Data Analysis & Statistics curriculum
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
Comprehensive Program
Professional training from $150
Pricing may vary. Check the course provider for current promotions and exact pricing.
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