Introduction to Data Science in Python

This course will introduce the learner to the basics of the python programming environment, including how to download and install python, expected fundamental python programming techniques, and how to find help with python programming questions. The course will also introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the DataFrame as the central data structure for data analysis. The course will end with a statistics primer, showing how various statistical measures can be applied to pandas DataFrames. By the end of the course, students will be able to take tabular data, clean it,  manipulate it, and run basic inferential statistical analyses.

This course is number 1 in the Applied Data Science with Python specialization and should be taken before any other courses in the specialization.
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From Coursera
Institution University of Michigan
Instructor Christopher Brooks
Language English (English)
Subjects Computer Science Data Science Data Analysis Software Development
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This course teaches skills that are valuable employers*

$79,000

Yearly salary

Estimated for jobs that may use skills taught in this course. Based on data from 75 job titles.

We've also collected sample entry, mid, and senior level roles and salaries for you below.


Data Entry Clerk (Senior)

$39,000

Data Architect (Entry)

$74,000

CRM Business Data Analyst

$96,000

EDP Audit Mgr.

$115,000

*Median income figures across U.S., note that actual salaries vary.

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Salary Query SOFTWARE DATA PYTHON
Amazon Query INTRODUCTION PYTHON DATA INTRODUCE PROGRAMMING