Computational Thinking and Big Data (edX)

This course is for you if you want to learn how computational thinking can be combined with Big Data. You will learn how to apply computational thinking to data science in this course. You will learn the fundamentals of computational thinking, such as decomposition, abstraction, pattern recognition, and algorithmic thinking, during this course.

You will also learn about data representation and analysis, as well as how to clean, present, and visualize data. This course is part of the MicroMaster program, so once you've completed it, you'll be able to enroll in other important Big Data courses.

Highlights

• Understand mathematical representations, probabilistic and statistical models, dimension reduction, and Bayesian models in greater depth.
• Acquire and improve the skills needed to solve problems in data-driven design and big data algorithms.
• Understand the fundamentals of computational thinking, as well as how to gather, clean, and consolidate large datasets.
• Gain access to industry-standard tools for data preparation and visualization, such as R and Java.
• Take advantage of a variety of videos, downloaded resources, quizzes, assignments, and hands-on projects to improve your computational thinking and big data skills.

Duration: 10 weeks, 8-10 hours/week
Course Ratings: 4.7 out of 5

Enroll here: https://www.edx.org/course/computational-thinking-and-big-data