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edX: Programming with Python for Data Science

 with  Authman Apatira

This course is part of the Microsoft Professional Program Certificate in Data Science.

This practical course, developed in partnership with Coding Dojo, targets individuals who have introductory level Python programming experience. The course teaches students how to start looking at data with the lens of a data scientist by applying efficient, well-known mining models in order to unearth useful intelligence, using Python, one of the popular languages for Data Scientists. Topics include data visualization, feature importance and selection, dimensionality reduction, clustering, classification and more! All of the data sets used in this course are gathered live-data or inspired by real-world domains that can benefit from machine learning.

3 Student
reviews
Cost Free Online Course
Pace Self Paced
Subject Data Science
Institution Microsoft
Provider edX
Language English
Certificates $99 Certificate Available
Hours 3-4 hours a week
Calendar 12 weeks long
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FAQ View All
What are MOOCs?
MOOCs stand for Massive Open Online Courses. These are free online courses from universities around the world (eg. Stanford Harvard MIT) offered to anyone with an internet connection.
How do I register?
To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.
How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you.  They also have student discussion forums, homework/assignments, and online quizzes or exams.

3 reviews for edX's Programming with Python for Data Science

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a month ago
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Dd Dd completed this course, spending 8 hours a week on it and found the course difficulty to be medium.
Course provided wide range of tools useful for data science and machine learning. Through practice I had opportunity to learn how to prepare data for ML algorithms in python. I would recommend it people who are looking forward to take on career in data analysis/science
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1 out of 2 people found the following review useful
12 months ago
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Alex Ivanov audited this course.
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6 months ago
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Oliver Mcmanus completed this course.
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