Data Management and Visualization
Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.
Data Management and Visualization
This course is part of Data Analysis and Interpretation Specialization
Instructor: Lisa Dierker
85,579 already enrolled
Included with
Ask Coursera
945 reviews
945 reviews
Skills you'll gain
Tools you'll learn
Details to know
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
- 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
There are 5 modules in this course
Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success. Too often, we’re not sure how use data to find answers to the questions that will make us more successful in what we do. In this course, you will discover what data is and think about what questions you have that can be answered by the data – even if you’ve never thought about data before. Based on existing data, you will learn to develop a research question, describe the variables and their relationships, calculate basic statistics, and present your results clearly. By the end of the course, you will be able to use powerful data analysis tools – either SAS or Python – to manage and visualize your data, including how to deal with missing data, variable groups, and graphs. Throughout the course, you will share your progress with others to gain valuable feedback, while also learning how your peers use data to answer their own questions.
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
5 videos•Total 31 minutes
- Welcome Video•6 minutes
- Video Lesson - Steps in data analysis•7 minutes
- Video Lesson - What do we mean by data?•5 minutes
- Video Lesson - Datasets and codebooks•7 minutes
- Video Lesson - Developing a research question•6 minutes
5 readings•Total 50 minutes
- Course codebooks•10 minutes
- Course Data Sets•10 minutes
- Getting Set Up for the Assignments•10 minutes
- Tumblr Instructions•10 minutes
- Troubleshooting Your Tumblr Assignment Blog Link•10 minutes
1 peer review•Total 60 minutes
- Getting Your Research Project Started•60 minutes
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
8 videos•Total 58 minutes
- SAS Lesson 1 - Defining exploratory data analysis•3 minutes
- SAS Lesson 2 - SAS coding conventions•9 minutes
- SAS Lesson 3 - Running your program and examining frequency distribution•10 minutes
- SAS Lesson 4 - Refining your research question by selecting rows•6 minutes
- Python Lesson 1 - Defining Exploratory Data Analysis•3 minutes
- Python Lesson 2 - Python Coding Conventions•10 minutes
- Python Lesson 3 - Running your program and examining frequency distributions•10 minutes
- Python Lesson 4 - Refining your research question by selecting rows•7 minutes
8 readings•Total 80 minutes
- Choosing SAS or Python•10 minutes
- Getting Started with SAS•10 minutes
- Getting Started with Python•10 minutes
- Codebook for Video Examples•10 minutes
- SAS Program for Video Examples•10 minutes
- Python Program for Video Examples•10 minutes
- Uploading Your Own Data to SAS•10 minutes
- Assignment Sample•10 minutes
1 peer review•Total 60 minutes
- Running Your First Program•60 minutes
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
8 videos•Total 45 minutes
- SAS Lesson 1 - Setting aside missing data•6 minutes
- SAS Lesson 2 - Coding in valid data and recoding values•3 minutes
- SAS Lesson 3 - Creating secondary variables•7 minutes
- SAS Lesson 4 - Grouping variables within individual variables•3 minutes
- Python Lesson 1 - Setting aside missing data•8 minutes
- Python Lesson 2 - Coding valid data and recoding values•6 minutes
- Python Lesson 3 - Creating secondary variables•8 minutes
- Python Lesson 4 - Grouping values within individual variables•4 minutes
4 readings•Total 40 minutes
- SAS Program for Video Examples•10 minutes
- Python Program for Video Examples•10 minutes
- Codebook for Video Examples•10 minutes
- Assignment Sample•10 minutes
1 peer review•Total 60 minutes
- Making Data Management Decisions•60 minutes
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
12 videos•Total 108 minutes
- SAS Lesson 1 - Graphing individual variables•6 minutes
- SAS Lesson 2 - Describing distributions visually•7 minutes
- SAS Lesson 3 - Measures of center and spread•12 minutes
- SAS Lesson 4 - Designing the role each of your variables will play•5 minutes
- SAS Lesson 5 - Graphing decisions: categorical response variables•13 minutes
- SAS Lesson 6 - Graphing decisions: quantitative response variable•10 minutes
- Python Lesson 1 - Graphing individual variables•7 minutes
- Python Lesson 2 - Describing distributions visually•7 minutes
- Python Lesson 3 - Measures of Center and Spread•12 minutes
- Python Lesson 4 - Designing the role each of your variables will play•5 minutes
- Python Lesson 5 - Graphing Decisions: Categorical response variables•14 minutes
- Python Lesson 6 - Graphing decisions: quantitative response variable•11 minutes
5 readings•Total 50 minutes
- Graphing Decisions Flowchart•10 minutes
- SAS Programs for Video Examples•10 minutes
- Python Programs for Video Examples•10 minutes
- Codebooks for Video Examples•10 minutes
- Assignment Sample•10 minutes
1 peer review•Total 60 minutes
- Creating graphs for your data•60 minutes
What's included
3 readings
3 readings•Total 30 minutes
- How to Write a Literature Review•10 minutes
- Translation Code•10 minutes
- Acknowledgments•10 minutes
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Offered by
Explore more from Data Analysis
- Status: Free TrialU
University at Buffalo
Course
- Status: Free TrialU
University of Colorado Boulder
Specialization
- Status: Free Trial
Course
- Status: Free TrialM
Microsoft
Course
Why people choose Coursera for their career
Learner reviews
- 5 stars
64.08%
- 4 stars
23.83%
- 3 stars
6.14%
- 2 stars
2.01%
- 1 star
3.91%
Showing 3 of 945
Reviewed on Jun 1, 2020
I learnt a lot from this course in data management and visualization and enjoyed the assignment parts of the course. I also gained insights in making data management decisions!
Reviewed on Aug 5, 2020
It was pretty good course with good assignments available for practice and a good tutorial content. the only point lacking was quality of in-video short quizzes
Reviewed on Jun 30, 2018
This was a great course for beginners in Python. I found all the videos to be detailed and helpful in understanding the code and programming in Python
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
More questions
Financial aid available,