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.
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.
Really smooth conduct of people in videos and excellent way of explaining things. Very excited to keep going to see what this specialization has to offer further. Thank you.
Very well organised and I really admire the project based approach that is and will be followed throughout the specialization.\n\nThank you
I am just starting. But i like how peer review is made the core model of the entire specialization though :)
Excellent course and excellent specialization. The classes were well taught and easy to understand.
Data Analysis and Interpretation Specialization is one of best courses on Coursera.
It really helped me applying what I've learned in the specialization.
Again, with no formal SAS training and minimal statistics background. I found taking the first course and then this course - week after week my knowledge grew in a consistent and organized fashion.
此课程是 100% 在线学习吗？是否需要现场参加课程？
Can I take the Specialization for free?
No, Specializations are a premium product, and learners must pay or apply for financial aid to join them. You can access individual course content for free by searching for the course title in the catalog and choosing the This Course Only option when enrolling. You will not earn a Certificate in the free version of the course, or be able to access the Capstone Project.
How long does it take to complete the Data Analysis and Interpretation Specialization?
Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in 6-7 months.
Each course in the Specialization is offered on a regular schedule, with sessions starting about once per month. If you don't complete a course on the first try, you can easily transfer to the next session, and your completed work and grades will carry over. The Capstone Project will be offered four times per year on a recurring schedule.
Do I need to take the courses in a specific order?
We recommend taking the courses in the order presented, as each subsequent course will build on material from previous courses.
Will I earn university credit for completing the Data Analysis and Interpretation Specialization?
Coursera courses and certificates don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
What will I be able to do upon completing the Data Analysis and Interpretation Specialization?
You will be able to access and manage data using either the Python or SAS programming language, explore patterns and associations among variables, and use machine learning methods to develop predictive algorithms. Additionally, you will have a portfolio of hands-on project work that demonstrates your ability to apply all of these methods to real-world situations.
What software will I need to complete the assignments?
You may choose to use either Python or SAS to complete the assignments. Both of these software packages are being made freely available.
What background knowledge is necessary?
This Specialization is appropriate for anyone interested in learning more about data analysis, including those new to the field. Some knowledge of basic programming and familiarity with linear algebra concepts may be helpful, but no specific background is required.