Chevron Left
Volver a Managing Big Data with MySQL

Opiniones y comentarios de aprendices correspondientes a Managing Big Data with MySQL por parte de Universidad Duke

4.7
estrellas
3,919 calificaciones

Acerca del Curso

This course is an introduction to how to use relational databases in business analysis. You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them. This knowledge will help you understand how data needs to be collected in business contexts, and help you identify features you want to consider if you are involved in implementing new data collection efforts. You will also learn how to execute the most useful query and table aggregation statements for business analysts, and practice using them with real databases. No more waiting 48 hours for someone else in the company to provide data to you – you will be able to get the data by yourself! By the end of this course, you will have a clear understanding of how relational databases work, and have a portfolio of queries you can show potential employers. Businesses are collecting increasing amounts of information with the hope that data will yield novel insights into how to improve businesses. Analysts that understand how to access this data – this means you! – will have a strong competitive advantage in this data-smitten business world....

Principales reseñas

DQ

20 de jun. de 2020

One of the best course till now I find on Coursera, well structured everything and practice questions made me feel like real life problems as data were from real database of dognition and ua_dillards.

YC

19 de ago. de 2019

Nice and well-organized course. I joined this course after self-studying on SQL for a few days. The context is really nice. The only problem is the Teradata is not stable. I tried very hard to login.

Filtrar por:

826 - 850 de 893 revisiones para Managing Big Data with MySQL

por Chirag C

7 de dic. de 2016

Practical knowledge.

por A. M

14 de ago. de 2019

Last week was hard

por Nenad Š

12 de feb. de 2017

Good introduction

por Ayush S

11 de jun. de 2020

good instructors

por Narendar R K

5 de oct. de 2017

very good course

por Aakanksh M

14 de jun. de 2020

Amazing Course

por Poonam K S

21 de ene. de 2022

Learnt alot

por Wiloke W

5 de feb. de 2021

Fairly good

por Minal M

12 de ago. de 2020

good course

por dynasty919

16 de mar. de 2018

interesting

por ANGEL M

30 de nov. de 2020

Certificat

por Rohit K S

23 de sep. de 2020

Awesome!!

por Elvan V

20 de sep. de 2020

Well done

por ธนาคาร ฉ

8 de feb. de 2017

difficult

por fagner d s

21 de jun. de 2016

excelent

por Simran B

1 de feb. de 2021

Amazing

por Hemant C

20 de ago. de 2018

Thanks.

por Shikha C

22 de mar. de 2021

good

por Priyadharsini S

4 de mar. de 2020

Nice

por Omair A

24 de jul. de 2018

okay

por Heeyeon L

25 de ene. de 2017

Q

por Alexander S

6 de abr. de 2016

g

por Jerry F

27 de nov. de 2016

The course structure was well formatted. The order of the lessons and content presented made for learning intuitive. The follow along practice queries and end of lesson practice problems were also helpful interactives for the student.

However there were mistakes in the answer keys or practice problem prompts that became more frequent in the lessons towards the end of the course. This made it difficult to practice the more complicated material and queries. It was also a big time waster when as a student you were unsure whether you were answering the correct question and if so whether your answer was correct. It would also been helpful to have more open ended practice problems at the end of the course in addition to the set provided.

Finally I think this course would be better split into two parts. The first part should be geared towards querying data and focusing more on just pulling data and intermediate queries. The main audience would be analyst/data professionals that have privileges to pull data but not modify data. The second part of the course would be more useful to DBAs or professionals that have database admin privileges to insert/delete/modify data. I would also focus more heavily on database schemas in this second course relative to the first.

por Leigh E

31 de ene. de 2022

I did not like going back and forth between MySQL and Teradata SQL. I understand the syntax is a bit different and you wanted us to learn that, but it would have made more sense to have a complete week in one, and then switch for the next week. There was not enough practice work in Teradata SQL in the later weeks of the course. Yes, the discussion forum is there, but you don't know if the suggestions are correct or not. It is very easy to go off in the wrong direction. This course could have provided more guidance for complex queries before the weekly exams. This was targeted to beginner users and would have more appropriate for intermediate with the complexity of queries in the last few weeks.

por Kyra-lin H

27 de jun. de 2017

I definitely learned a lot from taking this course, but there were several frustrating road blocks along the way. These included items such as mistakes in the answer keys, a lack of explicit assignment instructions, and large jumps in difficulty levels between the later weeks. For those considering this course, be aware that the estimated time commitment provided by the course (8-10 hours a week) is a very *low* estimate. Or rather, that estimate is accurate for Weeks 1 & 2, but expect that amount to double by Week 5.

For readers' reference: I came into this course with a lot of experience with Microsoft Access but only limited experience working with SQL directly.