Lisa Dierker
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.
Instructor Details
Courses : 1
Specification: Data Management and Visualization
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50 reviews for Data Management and Visualization
Add a review
| Price | Free |
|---|---|
| Provider | |
| Duration | 17 hours |
| Year | 2015 |
| Language | English ... |
| Certificate | Yes |
| Quizzes | Yes |
FREE
John C V –
I thought this course was great. It helped me get interested in python and think about data in a new way.
Nitin G –
The content is really well organized and very well presented.
Adrian S G –
Es un curso interesante
JMF –
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.
igor s –
I am very glad for such amazing courses like Data Management and viz , thank you very much.
Dipayan B –
Effective content to get hold on SAS fast
rajat b –
this course is use full those who have in data science and Big data.in this subject i learn data discretization and visulization methods.
Abishek M –
IT WAS REALLY USE FULL.
Omeiza A –
well put together..
abdelkerim h –
best course for beginners if don’t learn from here would not learn anywhere else
Guy D –
Excellent Course. Looking at data in a different way, using Python to explore what is behind. Good and clear explanations. I think that knowledge in programming is necessary, since there is non trivial coding in this course.
Emily –
Basically: The course is geared more towards those with quantitative research questions. While it’s a good introduction to the theory of research data management, and they encourage you to choose your own research question/data set, it’s quickly obvious that the lessons mostly apply to those with categorical data. As my research and work deals with qualitative data, there wasn’t much for me until Week 4.
Priyanshu J –
The course is good and provide basics of visualization.Easy to understand.The way of teaching is good.Clarity in voice and explanation.
Yasmeen G –
I feel that I am wasting my time The video lectures are simple but I do not have any idea about what to do in the assignments
KB –
The early videos in this course are well done. I have studied this material before, and they provided a valuable “refresher” for me. The later videos attempt to cover too much ground, too quickly. The cross disciplinary approach contributes to the feeling of confusion. I had also hoped that the data sets provided would be suitable for completing the course assignments. This was not the case, however. The OOL contains variables with many missing responses, and large numbers of response categories; the video examples are for categorical variables with two response categories The final week of the course frustrating, and I was unable to complete the assignment with the information provided.
Anitha t –
Excellent Course. We will really get a feel like did a real project.
Panji N –
Good course. The first time I ever used python was on this course and I managed. Good video lectures
Nikhil T –
So far I found this course very nice , good real time examples with interactive sessions along with Exercises and assignments. It seems my effort and time is going to get paid of soon. Thanks Team !!
YIWU –
Really like this course
Steffen L –
good basics, explanations can be a bit long winded. like we know what a mean, mode, and median are.
Sudeep R –
Awesome course
Rong G –
So many unanswered questions in the forum. Peer reviews suck
Rusmat A –
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.
Siddhi G P –
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.
Ruben D S P –
Amazing classes. I suggest to take Python to code with data. Later you can go on with machine learning
Sreekaavya K –
This was a great course for beginners in Python. I found all the videos to be detailed and helpful in understanding the code and programming in Python
Alyssa B –
Great Beginner course. I didn’t really know anything about Data analysis and this gave me a really easy and great way to start learning
Gildas B –
I’M only 5 and i do not understand what x x+5 means so make the quiz eazyer thx
roshni r –
The course was very helpful for me to learn on hands on data analysis with python. Thank You!
Elizabeth C –
Felt like a lot of the lessons were more about just following the directions or structure of the videos and not really learning the actual language of SAS or Python and how to be creative with it. I feel like I know how to use them at this point, but only for the specific commands we were instructed on. However, material is clear and easy to follow. I am not a fan of the overall Coursera structure of peer graded assignments because it seems pretty arbitrary or you may do the work and just not get the right number of reviewers and then you’re screwed.
Aderonke A –
This course was a great one, i had no know of python when i started, during the course i was a able to run my first python program. I really learnt a lot.
Drew M –
Lays a good foundation for initiating a research assignment, as well as cleaning and visualizing data.
Devon D –
Great course you will learn skills you can actually apply.
Arulmani T –
Great course to learn the basics of Python and SAS programming. I loved it. I would highly recommend this course for persons looking to learn python or SAS programming. Thank you Coursera team for providing such a wonderful platform.
Cesar E E O –
Awesome!
uzoamaka –
I enjoyed every bit of ot
Seho Y –
It’s easy and helpful
Berend B –
great course, excellent course material
Ponciano R –
The course is good, although it goes a little to fast.
Mukkesh G –
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.
Shubham S –
Very helpful for beginners
PUNARDEEP S J –
Great Course! More information on Panda would have been better.
Avinash M –
To sum up this course in one word ‘Hopeless’. Please don’t take it. There are better ones available on Coursera.
Chen Y –
This course has taught me how to manage and visualize data. Many coding knowledge are very useful I learnt from this course.
Adam K –
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.
Charles E C –
It’s an excellent course. I have learnt so much this period Thanks so much
Jala M –
straight to the point, very good Intro
Kasper M A –
Took way to long and tomuch effort to get assignments evalueted by peers
Mohd Y B –
SUPERB
Tamara N –
Perfect for those who come from a different background, and have no idea about anything!