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.
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Лучшие отзывы о курсе SQL FOR DATA SCIENCE
best course for learning SQL for beginners.I learned so much from this course.the speaking language is also simple ..So i Recommended this course for beginners who's 2nd or third language is English.
Honestly it's not obvious why it is called sql for DATA SCIENCE. In my opinion it's just SQL Basics.\n\nIt's pity that there weren't window functions.\n\nBut generally the course is good enough.
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.
This course provided the necessary knowledge to use SQL effectively in deriving insights from data stored in database management systems. The exercises and quizes helped reinforce lessons learned.
Специализация Learn SQL Basics for Data Science: общие сведения
This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, Delta Lake and more. These topics will prepare you to apply SQL creatively to analyze and explore data; demonstrate efficiency in writing queries; create data analysis datasets; conduct feature engineering, use SQL with other data analysis and machine learning toolsets; and use SQL with unstructured data sets.
Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Что я получу, оформив подписку на специализацию?
Можно ли получить финансовую помощь?
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