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
About this Course
Skills you will gain
- SAS Language
- Data Analysis
- Python Programming
- Data Management
Syllabus - What you will learn from this course
Selecting a research question
Writing your first program - SAS or Python
Supplemental Materials (All Weeks)
- 5 stars63.64%
- 4 stars24.45%
- 3 stars6.11%
- 2 stars1.85%
- 1 star3.93%
TOP REVIEWS FROM DATA MANAGEMENT AND VISUALIZATION
I think the course is wonderful for beginners. For somebody trying to learn this on her own, I found this course extremely helpful and easy to grasp.
In this course we can get many ideas and opportunities of the english and the meaning of many things we used to no many things we should have been working many ideas and then how we should shall have
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
Very well organised and I really admire the project based approach that is and will be followed throughout the specialization.
About the Data Analysis and Interpretation Specialization
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