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.

Informações sobre o curso
No prior knowledge of databases, SQL, Python, or programming is required. Suitable for anyone who wants to gain key skillsin Data Science/Analytics.
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Experimente o Coursera for BusinessO que você vai aprender
Analyze data within a database using SQL and Python.
Create a relational database on Cloud and work with tables.
Write SQL statements including SELECT, INSERT, UPDATE, and DELETE.
Build more powerful queries with advanced SQL techniques like views, transactions, stored procedures and joins.
Habilidades que você terá
- Cloud Databases
- Python Programming
- Jupyter notebooks
- Relational Database Management System (RDBMS)
- SQL
No prior knowledge of databases, SQL, Python, or programming is required. Suitable for anyone who wants to gain key skillsin Data Science/Analytics.
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Programa - O que você aprenderá com este curso
Getting Started with SQL
Introduction to Relational Databases and Tables
Intermediate SQL
Accessing Databases using Python
Avaliações
- 5 stars74,90%
- 4 stars18,52%
- 3 stars4%
- 2 stars1,14%
- 1 star1,42%
Principais avaliações do DATABASES AND SQL FOR DATA SCIENCE WITH PYTHON
It's my first course at Coursera and it's quite good. By this course now I'm able to partially working as data analyst soon to be working as full-time analyst.I'm very thankful to the instructor.
Great introduction to basic manipulation of SQL tables and working with the IBM DB2 databases by connecting to them with iPython. Very straightforward explanations and very enjoyable tasks.
Course is god enough. However the last assessment is not. Misprints and not clear questions lead to disappointing marks in the end. Also other students marked assessments based on their understanding.
Much important instruction was missing which lead to a delay in submission of the peer assignment. Various errors popped up which had no solution in the discussion forum also. Kindly look into it.
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