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Avis et commentaires pour l'étudiant pour Data Management and Visualization par Université Wesleyenne

4.4
698 notes
195 avis

À propos du cours

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....

Meilleurs avis

YW

Jun 11, 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.

SP

Jun 26, 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.

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1 - 25 sur 183 Examens pour Data Management and Visualization

par Adam K

Apr 07, 2019

The course doesn't really develop an understanding of Data Management and Visualization outside of the context of SAS or Python syntax. Also there are a number of points throughout the course that would benefit from an update most particularly the initial documentation to get started with SAS. The LIBNAME in the downloadable PDF is incorrect and it took me a significant amount of effort to identify and resolve the error since I was unfamiliar with the process.

par Rebekah C

May 21, 2016

This course states that it is for people with no knowledge in SAS. I had to go online elsewhere to learn SAS before completing this course. There are free SAS tutorials on the SAS webpage - I highly recommend completing them before trying this course.

par Mukkesh G

Jan 14, 2019

I came into this course after getting a rough idea about data analysis (from the IBM introduction courses), and this definitely adds on to the experience. The instructors make sure that the student is conceptually sound by the end of the course. Highly recommended.

par JMF

Sep 21, 2017

I wanted to do the whole specialization this course is a part of, but the forums are inactive and questions go unanswered... You're also at the mercy of peer reviewers, who may grade unfairly if there are technical difficulties, and who may not grade you in a timely manner. (Or they don't submit their assignments so you can grade them in a timely manner.) The videos have WAY too much B-roll and not enough visual aids.

I am a beginning Python coder and took this class to expand my Python knowledge, and I have a science background so I understand a lot of the math going on here, but I don't think this course would be a good choice for anyone without familiarity with Python. Perhaps if I'd taken the SAS route with the intention of learning SAS I would've had a different experience.

par Berend B

Dec 20, 2018

great course, excellent course material

par uzoamaka

Nov 20, 2018

I enjoyed every bit of ot

par Shubham S

Feb 11, 2019

Very helpful for beginners

par Karen B

Oct 19, 2016

Excellent introduction to SAS no matter what your field of research. Videos are clear and easy to follow. Looking forward to doing the next course.

par Rodrigo B

Jul 25, 2016

It's very clear and innovative!

par Shaun M

Jul 05, 2016

Nice introductory course to learning both SAS and Python in data analysis! I look forward to taking the next course!

par Ziwen W

May 15, 2017

Very nice course with introduction to Data analysis!

par Shakoor A

Nov 05, 2015

Good Learning experience and loved the way of teaching.

par Jose A R N

Aug 26, 2017

My name is Jose Antonio. I am looking for a new Data Scientist career (https://www.linkedin.com/in/joseantonio11)

I did this course to get new knowledge about Big Data and Visualisation and better understand the technology and your practical applications.

The course was excellent and the classes well taught by teachers.

Congratulations to Coursera team and Instructors.

par Rusmat A

Jun 23, 2018

This is not a course for learning Python, and the coding is straightforward as you are given examples for everything. What this course does do is to give really well-presented, high quality lecture materials and (possibly uniquely) allow you to choose a research topic and matching data of your choice to use throughout the specialisation. For me, this is much more motivating than doing analysis on data you really don't care about, just for the sake of it.It's fun to read your fellow student's research blogs, also. Really looks like students on this course are from all over the world.

par Renier S

Feb 14, 2017

got to grips with SAS

par Taoson

Aug 22, 2016

wonderful study experience!

par Miguel R

Feb 11, 2017

Very helpful videos and clear explanations. Easy to follow up.

par Alexander N

Nov 07, 2015

Beautifully designed course. Really helps me understand basic data analysis and improve reporting skills.

par John C V

Aug 29, 2017

I thought this course was great. It helped me get interested in python and think about data in a new way.

par bijith k

Oct 22, 2016

Good Course simplistic way in explaining core concepts

par Massimo Z

Feb 27, 2016

Well done. Thank you.

par Mina E

Mar 02, 2016

simply a great start to data science , very practical skills

par Bakr G

Oct 20, 2015

excellent course especially for those interested into playing with data

par EKONG, E

Feb 10, 2016

Excellent!

par MANOJ K

Feb 22, 2016

Awesome course. Thanks Prof.