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Databases and SQL for Data Science with Python
Coursera
Course
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Databases and SQL for Data Science with Python

IBM

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 -filte

Unknown6 weeks637,625 enrolled

About this Course

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 -filte

What You'll Learn

  • Analyze data within a database using SQL and Python.
  • Create a relational database and work with multiple tables using DDL commands.
  • Construct basic to intermediate level SQL queries using DML commands.
  • Compose more powerful queries with advanced SQL techniques like views, transactions, stored procedures, and joins.

Instructors

R

Rav Ahuja

IBM Skills Network

H

Hima Vasudevan

IBM

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

Jupyter
Stored Procedure
Data Manipulation
Pandas (Python Package)
SQL
Databases
Transaction Processing
Query Languages
Relational Databases
Python Programming

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