Wesleyan University

Data Management and Visualization

This course is part of Data Analysis and Interpretation Specialization

Taught in English

Some content may not be translated

Lisa Dierker

Instructor: Lisa Dierker

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Course

Gain insight into a topic and learn the fundamentals

4.4

(930 reviews)

|

94%

12 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

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Course

Gain insight into a topic and learn the fundamentals

4.4

(930 reviews)

|

94%

12 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Data Analysis and Interpretation Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 5 modules in this course

We would like to welcome you to Wesleyan University's Data Analysis and Interpretation Specialization. In this session, we will discuss the basics of data analysis. Your task will be to select a data set that you would like to work with and to review available code books that help you develop your own research question. You will also set up a Tumblr blog that will allow you to reflect on these experiences, submit assignments and share your work with others throughout the course. First, you may want to check out the welcome video

What's included

5 videos5 readings1 peer review

In this session, we will discuss how to write a basic program that allows you to load a data set and examine frequency distributions. Your task will be to write a program that helps you to explore the variables you have selected for your own research question. You may choose either Python or SAS. Both are made freely available, and we have created a helpful guide to support you in making the decision. Once you have selected your platform, just follow the instructions in the appropriate "GETTING STARTED...." file, and then check out this week's video lessons aimed at helping you write and run your first program. You need only view the lessons for one of the statistical platforms (SAS or Python).

What's included

8 videos8 readings1 peer review

In this session, we will help you to make and implement even more decisions with data. Statisticians often call this task 'data management', while computer scientists like the term 'data munging'. Whatever you call it, it is a vital and ongoing process when working with data. Your task will be to write a program that manages the variables you have selected for your own research question.

What's included

8 videos4 readings1 peer review

In this session we will discuss descriptive statistics and get you visualizing your newly data managed variables individually and as graphs showing the relationships between them.

What's included

12 videos5 readings1 peer review

What's included

3 readings

Instructor

Instructor ratings
4.5 (70 ratings)
Lisa Dierker
Wesleyan University
5 Courses145,056 learners

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4.4

930 reviews

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AR
5

Reviewed on Jun 1, 2020

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Reviewed on Jun 30, 2018

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