Coursera – Databases and SQL for Data Science with Python 2024-5

Coursera – Databases and SQL for Data Science with Python 2024-5 Downloadly IRSpace

Coursera – Databases and SQL for Data Science with Python 2024-5
Coursera – Databases and SQL for Data Science with Python 2024-5

Databases and SQL for Data Science with Python, Working knowledge of SQL (or Structured Query Language) is a must for data professionals like Data Scientists, Data Analysts and Data Engineers. Much of the world’s data resides in databases. SQL is a powerful language used for communicating with and extracting data from databases. In this course you will learn SQL inside out- from the very basics of Select statements to advanced concepts like JOINs. You will: -write foundational SQL statements like: SELECT, INSERT, UPDATE, and DELETE -filter result sets, use WHERE, COUNT, DISTINCT, and LIMIT clauses -differentiate between DML & DDL -CREATE, ALTER, DROP and load tables -use string patterns and ranges. Through hands-on labs and projects, you will practice building SQL queries, work with real databases on the Cloud, and use real data science tools. In the final project you’ll analyze multiple real-world datasets to demonstrate your skills.

What you’ll learn

  • Analyze data within a database using SQL and Python.
  • Create a relational database on Cloud and work with tables.
  • Construct SQL statements including SELECT, INSERT, UPDATE, and DELETE.
  • Compose more powerful queries with advanced SQL techniques like views, transactions, stored procedures and joins.
 
 

Specificatoin of Databases and SQL for Data Science with Python

  • Publisher : Coursera
  • Teacher : Rav Ahuja
  • Language : English
  • Level : Beginner
  • Number of Course : 6
  • Time frame to complete the course : 20 hours (approximately)

Content of Databases and SQL for Data Science with Python

Databases and SQL for Data Science with Python

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Databases and SQL for Data Science with Python

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Subtitle : English

Quality: 720p

The 2023/11 version has not changed in the number of lessons and duration compared to 2023/10.

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194 MB