Chevron Left
Retour à SQL for Data Science

Avis et commentaires pour d'étudiants pour SQL for Data Science par Université de Californie à Davis

4.6
étoiles
14,379 évaluations

À propos du cours

As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses. This is a data scientist, “part mathematician, part computer scientist, and part trend spotter” (SAS Institute, Inc.). According to Glassdoor, being a data scientist is the best job in America; with a median base salary of $110,000 and thousands of job openings at a time. The skills necessary to be a good data scientist include being able to retrieve and work with data, and to do that you need to be well versed in SQL, the standard language for communicating with database systems. This course is designed to give you a primer in the fundamentals of SQL and working with data so that you can begin analyzing it for data science purposes. You will begin to ask the right questions and come up with good answers to deliver valuable insights for your organization. This course starts with the basics and assumes you do not have any knowledge or skills in SQL. It will build on that foundation and gradually have you write both simple and complex queries to help you select data from tables. You'll start to work with different types of data like strings and numbers and discuss methods to filter and pare down your results. You will create new tables and be able to move data into them. You will learn common operators and how to combine the data. You will use case statements and concepts like data governance and profiling. You will discuss topics on data, and practice using real-world programming assignments. You will interpret the structure, meaning, and relationships in source data and use SQL as a professional to shape your data for targeted analysis purposes. Although we do not have any specific prerequisites or software requirements to take this course, a simple text editor is recommended for the final project. So what are you waiting for? This is your first step in landing a job in the best occupation in the US and soon the world!...

Meilleurs avis

JP

5 avr. 2020

This course has really helped with optimizing queries that I work with everyday, enhancing my understanding of RDBMS, joins, analyzing and structuring exactly what you need and yielding those results.

JG

22 août 2021

I thought this course was great! Great introduction to Relational Databases and SQLite. Highly reccomend for anyone new to SQL, Databases, or someone looking to get started with a data science career.

Filtrer par :

3326 - 3350 sur 3,781 Avis pour SQL for Data Science

par Rokay J M

14 juil. 2020

Good course for beginners

par Jigeesha K

26 mai 2020

Good course for beginners

par aadyant a

7 sept. 2021

Well structured course !

par Shema F

17 juin 2021

nice to learn new things

par Anubhav S

14 juil. 2020

Nice Course for beginner

par Tanmoy S

9 mai 2020

Nice learning experience

par Pankaj k

1 avr. 2021

Well structured course.

par prachi j

4 avr. 2020

its a very good course.

par Sanjay D

8 sept. 2022

good course for start

par Mykhailo B

26 août 2022

Get rid of Peer review

par Priscilla C

17 juin 2022

Could be more pratices

par loukit k

31 juil. 2020

very good for beginner

par Jeremy W

17 juil. 2019

Overall pretty useful.

par Brajesh

30 juin 2021

Great for beginner...

par Манукян Т

11 juil. 2020

we need more examples

par Mark W

26 août 2021

maybe too elementary

par Himanshu S

28 août 2020

it was a good course

par Abdul S

29 juil. 2020

The course was good.

par Daniele M

28 oct. 2022

Very nice and fun!

par Rhishikesh S

16 déc. 2021

great for begineers

par Savindu V K

29 juil. 2020

It was really good.

par Ajay J

19 sept. 2018

Good for beginners.

par Ishan B

28 août 2018

Was a Great course!

par Cynthia M

27 avr. 2022

Great stuff here!!

par Antara D

13 sept. 2021

Good for starters!