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.
This course is part of the Data Analysis and Interpretation Specialization
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About this Course
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Try Coursera for BusinessSkills you will gain
- SAS Language
- Data Analysis
- Python Programming
- Data Management
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Syllabus - What you will learn from this course
Selecting a research question
Writing your first program - SAS or Python
Managing Data
Visualizing Data
Supplemental Materials (All Weeks)
Reviews
- 5 stars63.71%
- 4 stars24.48%
- 3 stars6.12%
- 2 stars1.85%
- 1 star3.82%
TOP REVIEWS FROM DATA MANAGEMENT AND VISUALIZATION
A fantastic course for beginners, and an extremely useful tool to learn! Recommended for anyone who wants to get started coding or increase their work skills
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.
Choosing an actual research question allows you to find a topic of interest. This makes the content more meaningful and accelerates understanding of the concepts.
It was very informative. I got the opportunity to learn a lot of new things which I am sure will help me in my professional career.
Thank you Coursera
About the Data Analysis and Interpretation Specialization

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