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Opiniones y comentarios de aprendices correspondientes a Data Management and Visualization por parte de Universidad Wesleyana

4.4
estrellas
792 calificaciones
222 revisiones

Acerca del Curso

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....

Principales revisiones

AS

Jul 16, 2020

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

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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51 - 75 de 211 revisiones para Data Management and Visualization

por Vijai K S

Dec 11, 2015

I love blogging and i love data science. This course brings the best of the both worlds :)

por Tamara N

Feb 17, 2020

Perfect for those who come from a different background, and have no idea about anything!

por Lavanya P

Mar 10, 2017

The course is really helpful for beginners and is explained in a very simple manner.

por Don M

Oct 19, 2015

Really enjoyed this class. Just wish it could've gone into more statistical depth.

por abdelkerim h

Nov 17, 2017

best course for beginners if don't learn from here would not learn anywhere else

por Sandeep D

May 11, 2020

Excellent course. I deeply appreciate my learning from the course. Thank you.

por Charles E C

Jun 07, 2019

It's an excellent course. I have learnt so much this period

Thanks so much

por Bakr G

Oct 20, 2015

excellent course especially for those interested into playing with data

por Anitha t

Apr 02, 2018

Excellent Course. We will really get a feel like did a real project.

por Na M

Jan 08, 2017

Very good summarization and introduction of data analysis process

por Leonardo A

Jul 25, 2016

Excellent course easy to understand and very practice evaluation

por Arnold A

Jun 09, 2016

Great! Easy to follow, very well video lecture, and very useful!

por Miguel R

Feb 11, 2017

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

por Nitin G

Sep 14, 2017

The content is really well organized and very well presented.

por Mb F

Feb 14, 2016

The perfect pace for students new to statistical programming.

por Mina E

Mar 02, 2016

simply a great start to data science , very practical skills

por John G

Jul 19, 2017

Best Coursera course yet on introductory statistics and SAS

por Paras M

Jun 05, 2017

I recommend this course for every beginner in data science.

por Zacharias P

Jan 20, 2016

Very nice lecture videos and explanations! Totally worth it

por Devon D

Oct 01, 2018

Great course you will learn skills you can actually apply.

por Shakoor A

Nov 05, 2015

Good Learning experience and loved the way of teaching.

por YIJIE N

Oct 28, 2016

Very nice course! Good starting point of learning SAS!

por bijith k

Oct 22, 2016

Good Course simplistic way in explaining core concepts

por Jorge J J R

Jan 04, 2016

Great course! Perfect for starting in analysis of data

por Summer M

Oct 20, 2015

Well presented and useful; assignments mirror lectures