Computing for Data Analysis
Analytics: Essential Tools and Methods,
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.
What you'll learn
- 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.
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| Rating | 3.2★ based on 4 ratings |
|---|---|
| Length | 15 weeks |
| Effort | 15 weeks, 8–10 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $825 |
| From | The Georgia Institute of Technology, GTx via edX |
| Instructors | Richard W. Vuduc, Charles Turnitsa, Richard (Rich) Vuduc |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Computer Science Data Analysis & Statistics |
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What people are saying
give it another try
As I found the course very interesting, I will probably give it another try in the future; but I hope the support for edX students will be better.
second recitation time slot
Although a second recitation time slot was announced, this was not accessible for edX students.
high quality jupyter notebooks
This course offers very high quality jupyter notebooks,
10-15 total minutes
There may be 10-15 total minutes of videos for each topic that do not even teach anything, they basically go over what the assignments will be.
basically go over
fall 2018 session
This is a review of the fall 2018 session.
gave up trying
In the end, I sort of just gave up trying to take the final exam due to the technical issues with Vocareum.
much help either
The discussion forums were not much help either.
required data files
In some cases, the required data files were not uploaded to Vocareum.
36 hours
(Also, you have 36 hours to complete the exams once you start them.)
georgia tech
Most students that take the courses are doing so through Georgia Tech, which has its own platforms for student collaboration.
already filled
In other cases, the answers were already filled in for the exam problems.
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Distinguished Professor, Chair, Dept of Modern Languages & Literatures $231k
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| Rating | 3.2★ based on 4 ratings |
|---|---|
| Length | 15 weeks |
| Effort | 15 weeks, 8–10 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $825 |
| From | The Georgia Institute of Technology, GTx via edX |
| Instructors | Richard W. Vuduc, Charles Turnitsa, Richard (Rich) Vuduc |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Computer Science Data Analysis & Statistics |
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