Databases and SQL for Data Science with Python
29 Hours
Estimated learning time
Self-Paced
Progress at your own speed
Popular course
A popular course among students
About the Course
Description
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; ORDER and GROUP result sets, and built-in database functions -build sub-queries and query data from multiple tables -access databases as a data scientist using Jupyter notebooks with SQL and Python -work with advanced concepts like Stored Procedures, Views, ACID Transactions, Inner & Outer JOINs 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.
This course is part of program
You can only buy it along with program.
Sections
Schedule
Asynchronous
Delivery method
Online
Deliverables
Hone Important Skills
Total Upgrade
Such as Python Programming, Database Theory, SQL, Professional Development, Databases, Data Structures, Computer Programming, Database Application, Data Management, Data Analysis, Relational Database Management System, Cloud Computing, Ipython, Relational Database, Ibm Db2, Cloud Databases, IBM Cloud
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