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Data Science

We live in an era of unprecedented access to data. Understanding how to organize and leverage the vast amounts of information at our disposal are critical skills that allow us to infer upon the world and make informed decisions. This course will introduce you to such skills.

To work with large amounts of data, you will need to harness the power of computation through programming. This course teaches you basic programming skills for manipulating data. You will learn how to use Python to organize and manipulate data in tables, and to visualize data effectively. No prior experience with programming or Python is needed, nor is any statistics background necessary.

The examples given in the course involve real world data from diverse settings. Not all data is numerical – you will work with different types of data from a variety of domains. Though the term “data science” is relatively new, the fundamental ideas of data science are not. The course includes powerful examples that span the centuries from the Victorian era to the present day.

This course emphasizes learning through doing: you will work on large real-world data sets through interactive assignments to apply the skills you learn. Throughout, the underlying thread is that data science is a way of thinking, not just an assortment of methods. You will also hone your interpretation and communication skills, which are essential skills for data scientists.

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Rating 5.0 based on 2 ratings
Length 5 weeks
Effort 4 - 6 hours per week
Starts Aug 26 (4 weeks ago)
Cost $199
From University of California, Berkeley, BerkeleyX via edX
Instructors Ani Adhikari, John DeNero, David Wagner
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

bit too slow

At first, the courses pace was a bit too slow for me, but later on I appreciated it, because as things get more advanced, the slower pace helps with understanding.

get more advanced

good thing about

The good thing about the datascience library is that it's very easy to understand, the drawback is that you won't be introduced to industry standard libraries such as numpy or pandas.

industry standard libraries

no programming experience

Data 8.1 is a perfect course for people with no programming experience.

numpy or pandas

Careers

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

AD, Data Science $47k

Associate Data Science Supervisor $55k

Science writer / data analyst $63k

Genomic Data Science Programmer $75k

Volunteer Director of Data Science $78k

Expert Data Science Supervisor $79k

Supervisor 1 Data Science Supervisor $91k

Guest Director of Data Science $101k

Data Science Architect $105k

Head of Data Science $131k

Assistant Director 1 of Data Science $133k

Owner Director of Data Science $149k

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Rating 5.0 based on 2 ratings
Length 5 weeks
Effort 4 - 6 hours per week
Starts Aug 26 (4 weeks ago)
Cost $199
From University of California, Berkeley, BerkeleyX via edX
Instructors Ani Adhikari, John DeNero, David Wagner
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Analysis & Statistics

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