Data Management and Visualization
Data Analysis and Interpretation,
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.
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| Rating | 4.2★ based on 218 ratings |
|---|---|
| Length | 5 weeks |
| Effort | 4 weeks of study, 4-5 hours/week |
| Starts | Jul 3 (46 weeks ago) |
| Cost | $79 |
| From | Wesleyan University via Coursera |
| Instructor | Lisa Dierker |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science |
| Tags | Data Science Data Analysis |
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What people are saying
data analysis
This is the first course in what was a new (at the time I took it) specialization covering data analysis using Python 3 or SAS.
Best Coursera course yet on introductory statistics and SAS This is a great introductory course to Data Analysis.
Very nice course with introduction to Data analysis!
I am disappointed because the course doesn't provide profound material on data analysis with python.
Nice introductory course to learning both SAS and Python in data analysis!
More hype content than a course.This is not the way to learn Python, seriously don't take this one Great step to learn data analysis in SAS!
Really helps me understand basic data analysis and improve reporting skills.
Definitely recommend to anyone to get an excellent head-start on data analysis from a business and academic research perspective.
I would recommend to anyone who would like to understand and work on Data Analysis.
The course was very helpful for me to learn on hands-on data analysis with python.
If you have already gotten acquainted with data analysis then this course is to support your skills and maybe you can find one or two new things.
SUPERB Took way to long and tomuch effort to get assignments evalueted by peers This course is the first in Data Analysis and Interpretation Specialization on coursera.
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sas or python
good to start SAS or PYthon programming.
However, please make sure you add extra efforts from your end in understanding stats concepts if you are totally new to the subject as well as browsing things related to usage of SAS or python.
Very good introductory course on managing, subsetting, and manipulating data with SAS or Python.
The course doesn't really develop an understanding of Data Management and Visualization outside of the context of SAS or Python syntax.
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.
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.
The course requires to submit 4 assignments in which you can apply the basic skills learnt with SAS or Python.
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data management
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.
Effective content to get hold on SAS fast I am very glad for such amazing courses like Data Management and viz , thank you very much.
The course is great otherwise, however the certificate of this course just completed 'Data Management and Visualization' with no mention about the skills learnt or the grade attained.
If at least the certificate said completed 'Data Management and Visualization with SAS', it would be a good value for money.
You can simply do a little additional research and get the pure science behind of it all perfect first touch with data management Very good summarization and introduction of data analysis process Cours très intéressant sur la gestion et la visualisation des données mais ça serait beaucoup mieux d'approfondir un peu le contexte de ce cours.
Emphasis was on teaching Data Management with area of our interest.
However, this course will be okay if you are working on some other field and want data management as an extra skillset.
I appreciate the fact that this course doesn't go into the fine detail on how to code everything, I believe there is still more information on the coding and data management practices that could be included in the course content.
Have been using Python for years but never jumped into data management and visualization.
I learnt a lot from this course in data management and visualization and enjoyed the assignment parts of the course.
I also gained insights in making data management decisions!
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for beginners
best course for beginners if don't learn from here would not learn anywhere else well put together..
The course is really helpful for beginners and is explained in a very simple manner.
A fantastic course for beginners, and an extremely useful tool to learn!
I think the course is wonderful for beginners.
Good choice for beginners Simple and powerful Course.
Very helpful for beginners 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.
I didn't really know anything about Data analysis and this gave me a really easy and great way to start learning This was a great course for beginners in Python.
Later you can go on with machine learning This is a great course for beginners.
Very good course to understand the importance of data Great course for learning data visualization The course is well placed for beginners.
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too much
The later videos attempt to cover too much ground, too quickly.
The videos have WAY too much B-roll and not enough visual aids.
Too few in statistics, too much in python and SAS.
That being said, it focuses too much on categorical data analysis, and I felt the transition to quantitative/continuous data was not very well done.Moreover, some more explanations about several Python functions or coding choices could be better explained.But it's encouraging to see this type of statistical course for Python and not R!!
They put a lot of effort into this course, but especially for the videos it was a bit too much.
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sas programming
Unfortunately, there are not that many courses that help learn/review SAS programming.
Without it, it might not be worth it because you could learn a lot of the SAS programming for free from SAS itself using their beginning programming coursework offered online (in fact potential students may consider taking the SAS programming essentials course before taking this because you learn a lot about the SAS coding framework that comes in handy for this class).
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.
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| Rating | 4.2★ based on 218 ratings |
|---|---|
| Length | 5 weeks |
| Effort | 4 weeks of study, 4-5 hours/week |
| Starts | Jul 3 (46 weeks ago) |
| Cost | $79 |
| From | Wesleyan University via Coursera |
| Instructor | Lisa Dierker |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science |
| Tags | Data Science Data Analysis |
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