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Basic Data Processing and Visualization

Python Data Products for Predictive Analytics,

This is the first course in the four-course specialization Python Data Products for Predictive Analytics, introducing the basics of reading and manipulating datasets in Python. In this course, you will learn what a data product is and go through several Python libraries to perform data retrieval, processing, and visualization. This course will introduce you to the field of data science and prepare you for the next three courses in the Specialization: Design Thinking and Predictive Analytics for Data Products, Meaningful Predictive Modeling, and Deploying Machine Learning Models. At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization.
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Rating 3.9★ based on 17 ratings
Length 6 weeks
Starts Jun 26 (47 weeks ago)
Cost $49
From University of California San Diego via Coursera
Instructors Julian McAuley, Ilkay Altintas
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science
Tags Data Science Data Analysis

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What people are saying

adding an extra week

), it might be worth adding an extra week or so were these things are done with the help of the standard library pandas.

find some interesting open

Over all a great course for beginner The positives: I liked the design of the final project, and how users were encouraged to 'get out there' and find some interesting open source data sets.

ideally cover that library

I feel like this is what people will end up doing anyway bc there are so little alternatives in python to do processing, so a course on data processing should ideally cover that library.

learn intermediate level skills

This course enables students to learn intermediate level skills in data wrangling, data exploration, and visualization.

scripts make no sense

The test scripts make no sense.

think twice about paying

Knowing this, I would think twice about paying for this experience - what I learned can be found in free tutorials too, and only for the interaction with other users I don't think it is worth the price.

bit more focus

The negatives: I would have liked a bit more focus on actual visualization libraries like matplotlib and maybe seaborn.

finish yet because

Can't finish yet because I have nothing to grade.

free tutorials too

but you need

But you need to have 3-peers to review your submission.

great first class

Great first class in this series.

im still trying

Im still trying to figure out why the specialization mentions "Design Thinking".

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Products Coordinator $53k

Products Demonstrator $56k

Digital Products $60k

Commercial Products $63k

Products Editor $71k

New Products $76k

Data/Partner Products Test Engineer $83k

Data Products Circuit Designer $107k

Products Engineer $112k

Data Products Engineer $118k

Engineering and Products $162k

Senior Data Products Engineer $165k

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Rating 3.9★ based on 17 ratings
Length 6 weeks
Starts Jun 26 (47 weeks ago)
Cost $49
From University of California San Diego via Coursera
Instructors Julian McAuley, Ilkay Altintas
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science
Tags Data Science Data Analysis

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