Data Management and Visualization
Master data analysis tools in SAS or Python to manage, visualize, and interpret data effectively. Learn to develop research questions and present findings.
Master data analysis tools in SAS or Python to manage, visualize, and interpret data effectively. Learn to develop research questions and present findings.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Analysis and Interpretation Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.4
(935 ratings)
82,133 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Develop meaningful research questions from raw data
Master data management techniques in SAS or Python
Create effective data visualizations and graphs
Perform exploratory data analysis
Analyze frequency distributions and descriptive statistics
Handle missing data and variable grouping
Skills you'll gain
This course includes:
4.15 Hours PreRecorded video
1 peer review per module
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course introduces learners to the fundamentals of data management and visualization. Students learn to develop research questions, handle data using either SAS or Python, and create meaningful visualizations. The curriculum covers exploratory data analysis, data management techniques, descriptive statistics, and various visualization methods. Through hands-on projects and peer reviews, learners gain practical experience in analyzing and presenting data effectively.
Selecting a research question
Module 1 · 2 Hours to complete
Writing your first program - SAS or Python
Module 2 · 3 Hours to complete
Managing Data
Module 3 · 2 Hours to complete
Visualizing Data
Module 4 · 3 Hours to complete
Supplemental Materials (All Weeks)
Module 5 · 30 Minutes to complete
Fee Structure
Instructor
Pioneering Statistician Revolutionizing Undergraduate Data Science Education
Lisa Dierker, Professor of Psychology at Wesleyan University, has transformed statistical education through her innovative "Passion Driven Statistics" curriculum. Her expertise spans chronic disease epidemiology and advanced statistical methods, leading to significant National Science Foundation funding for developing accessible, project-based teaching approaches. Her collaborative work across disciplines including public health, medicine, engineering, and neuroscience has produced groundbreaking research while making statistics more engaging for diverse student populations. Through her leadership in curriculum development and cross-disciplinary research, she has significantly influenced how quantitative methods are taught at the undergraduate level, while maintaining active research in epidemiology and public health.
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4.4 course rating
935 ratings
Frequently asked questions
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