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.
| 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 |
Similar Courses
Sorted by relevance
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
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
Courses in this Specialization
Listed in the order in which they should be taken
| Starts | Course Information | |
|---|---|---|
|
Jun |
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... Coursera | University of Michigan |
Save
|
|
Jul |
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... Coursera | University of Michigan |
Save
|
|
Jun |
Applied Machine Learning in Python (You were viewing this course) 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... Coursera | University of Michigan |
Save
|
|
Jun |
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... Coursera | University of Michigan |
Save
|
|
Jul |
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... Coursera | University of Michigan |
Save
|
&
| 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
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
Similar Courses
Sorted by relevance
