A hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning.
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What you need before starting this Computing for Data Analysis 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
The modern data analysis pipeline involves collection, preprocessing, storage, analysis, and interactive visualization of data. The goal of this course, part of the Analytics: Essential Tools and Methods MicroMasters program, is for you to learn how to build these components and connect them using modern tools and techniques. In the course, you’ll see how computing and mathematics come together. For instance, “under the hood” of modern data analysis lies numerical linear algebra, numerical optimization, and elementary data processing algorithms and data structures. Together, they form the foundations of numerical and data-intensive computing. The hands-on component of this course will develop your proficiency with modern analytical tools. You will learn how to mash up Python, R, and SQL through Jupyter notebooks, among other tools. Furthermore, you will apply these tools to a variety of real-world datasets, thereby strengthening your ability to translate principles into practice.
Difficulty Level
Advanced
Prior experience recommended
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 $500
Pricing may vary. Check the course provider for current promotions and exact pricing.
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