A 5-course Specialization from Coursera

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Applied Data Science with Python

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Gain new insights into your data

About this Specialization

The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.

Coursera

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University of Michigan

From University of Michigan via Coursera
Hours 100
Instructors Christopher Brooks, Kevyn Collins-Thompson, Daniel Romero, V. G. Vinod Vydiswaran
Language English
Subjects Programming Data Science Business Art & Design
Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).

AD, Data Science $47k

Science writer / data analyst $63k

Volunteer Director of Data Science $78k

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

Courses in this Specialization

Listed in the order in which they should be taken

Starts Course Information

Feb
11

Introduction to Data Science in Python

This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and...

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Mar
4

Applied Plotting, Charting & Data Representation in Python

This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a...

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Feb
11

Applied Machine Learning in Python

This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start...

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Feb
11

Applied Text Mining in Python

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text...

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Feb
25

Applied Social Network Analysis in Python

This course will introduce the learner to network analysis through tutorials using the NetworkX library. The course begins with an understanding of what network analysis is and...

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Coursera

&

University of Michigan

From University of Michigan via Coursera
Hours 100
Instructors Christopher Brooks, Kevyn Collins-Thompson, Daniel Romero, V. G. Vinod Vydiswaran
Language English
Subjects Programming Data Science Business Art & Design
Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).

AD, Data Science $47k

Science writer / data analyst $63k

Volunteer Director of Data Science $78k

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