What you will learn
- Understand and apply advanced core computational thinking concepts to large-scale data sets
- Use industry-level tools for data preparation and visualisation, such as R and Java
- Apply methods for data preparation to large data sets
- Understand mathematical and statistical techniques for attracting information from large data sets and illuminating relationships between data sets
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.
Before you start
- Instructor-Led: course contains assignments and exams that have specific due dates, and you complete the course within a defined time period.
- Course ends: Feb 22, 2019
Meet Your Instructors
Frequently Asked Questions
Question: This course is self-paced, but is there a course end date?
Answer: Yes. The first course release started on May 15, 2017 and ended on December 1, 2018.
The second release of the course started on December 1, 2018 and ends on December 1, 2020.
The third release of the course starts on March 1, 2019 and ends on December 1, 2020.
Who can take this course?
Unfortunately, learners from one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. EdX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.