About this Course
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100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 17 hours to complete

Suggested: 4 weeks of study, 4-5 hours/week...

English

Subtitles: English, Korean
User
Learners taking this Course are
  • Data Analysts
  • Business Analysts
  • Data Scientists
  • Economists
  • Machine Learning Engineers

Skills you will gain

SAS LanguageData AnalysisPython ProgrammingData Management
User
Learners taking this Course are
  • Data Analysts
  • Business Analysts
  • Data Scientists
  • Economists
  • Machine Learning Engineers

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 17 hours to complete

Suggested: 4 weeks of study, 4-5 hours/week...

English

Subtitles: English, Korean

Syllabus - What you will learn from this course

Week
1
4 hours to complete

Selecting a research question

5 videos (Total 31 min), 6 readings, 1 quiz
5 videos
Video Lesson - Steps in data analysis7m
Video Lesson - What do we mean by data?4m
Video Lesson - Datasets and codebooks7m
Video Lesson - Developing a research question5m
6 readings
A few quick questions to get started10m
Course codebooks10m
Course Data Sets10m
Getting Set Up for the Assignments10m
Tumblr Instructions10m
Troubleshooting Your Tumblr Assignment Blog Link10m
Week
2
4 hours to complete

Writing your first program - SAS or Python

8 videos (Total 59 min), 7 readings, 1 quiz
8 videos
SAS Lesson 2 - SAS coding conventions8m
SAS Lesson 3 - Running your program and examining frequency distribution9m
SAS Lesson 4 - Refining your research question by selecting rows5m
Python Lesson 1 - Defining Exploratory Data Analysis3m
Python Lesson 2 - Python Coding Conventions8m
Python Lesson 3 - Running your program and examining frequency distributions12m
Python Lesson 4 - Refining your research question by selecting rows7m
7 readings
Choosing SAS or Python10m
Getting Started with SAS10m
Getting Started with Python10m
Codebook for Video Examples10m
Program for Video Examples10m
Uploading Your Own Data to SAS10m
Assignment Sample10m
Week
3
3 hours to complete

Managing Data

8 videos (Total 45 min), 3 readings, 1 quiz
8 videos
SAS Lesson 2 - Coding in valid data and recoding values2m
SAS Lesson 3 - Creating secondary variables7m
SAS Lesson 4 - Grouping variables within individual variables2m
Python Lesson 1 - Setting aside missing data7m
Python Lesson 2 - Coding valid data and recoding values6m
Python Lesson 3 - Creating secondary variables8m
Python Lesson 4 - Grouping values within individual variables3m
3 readings
Program for Video Examples10m
Codebook for Video Examples10m
Assignment Sample10m
Week
4
4 hours to complete

Visualizing Data

12 videos (Total 107 min), 4 readings, 1 quiz
12 videos
SAS Lesson 2 - Describing distributions visually7m
SAS Lesson 3 - Measures of center and spread11m
SAS Lesson 4 - Designing the role each of your variables will play5m
SAS Lesson 5 - Graphing decisions: categorical response variables13m
SAS Lesson 6 - Graphing decisions: quantitative response variable9m
Python Lesson 1 - Graphing individual variables6m
Python Lesson 2 - Describing distributions visually7m
Python Lesson 3 - Measures of Center and Spread11m
Python Lesson 4 - Designing the role each of your variables will play5m
Python Lesson 5 - Graphing Decisions: Categorical response variables14m
Python Lesson 6 - Graphing decisions: quantitative response variable9m
4 readings
Graphing Decisions Flowchart10m
Programs for Video Examples10m
Codebooks for Video Examples10m
Assignment Sample10m
1 hour to complete

Supplemental Materials (All Weeks)

3 readings
3 readings
How to Write a Literature Review10m
Translation Code10m
Acknowledgments10m
4.4
195 ReviewsChevron Right

47%

started a new career after completing these courses

37%

got a tangible career benefit from this course

Top reviews from Data Management and Visualization

By SPJun 26th 2018

This is a great course for beginners. The course instructors have arranged the course at a very comfortable pace and this is a great beginning point for anyone who wants to learn SAS or Python.

By YWJun 11th 2017

This course covers the basic data management and visualization using SAS and Python. I like the simplicity and straightforwardness of the contents. Will continue to explore this specialization.

Instructor

Avatar

Lisa Dierker

Professor
Psychology

About Wesleyan University

At Wesleyan, distinguished scholar-teachers work closely with students, taking advantage of fluidity among disciplines to explore the world with a variety of tools. The university seeks to build a diverse, energetic community of students, faculty, and staff who think critically and creatively and who value independence of mind and generosity of spirit. ...

About the Data Analysis and Interpretation Specialization

Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions. The Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn. Throughout the Specialization, you will analyze a research question of your choice and summarize your insights. In the Capstone Project, you will use real data to address an important issue in society, and report your findings in a professional-quality report. You will have the opportunity to work with our industry partners, DRIVENDATA and The Connection. Help DRIVENDATA solve some of the world's biggest social challenges by joining one of their competitions, or help The Connection better understand recidivism risk for people on parole in substance use treatment. Regular feedback from peers will provide you a chance to reshape your question. This Specialization is designed to help you whether you are considering a career in data, work in a context where supervisors are looking to you for data insights, or you just have some burning questions you want to explore. No prior experience is required. By the end you will have mastered statistical methods to conduct original research to inform complex decisions....
Data Analysis and Interpretation

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.