Databases and SQL for Data Science with Python (training)

Colleagues, in the “Databases and SQL for Data Science with Python” program you will learn to 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, and compose more powerful queries with advanced SQL techniques like views, transactions, stored procedures, and joins. Acquire high-demand skills in Python Programming, Cloud Databases, Relational Database Management System (RDBMS), SQL, and Jupyter notebooks. 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, and work with advanced concepts like Stored Procedures, Views, ACID Transactions, Inner & Outer JOINs through hands-on labs and projects. Skill-based training lessons include: 1) Getting Started with SQL, 2) Introduction to Relational Databases and Tables, 3) Intermediate SQL, 4) Accessing Databases using Python, 5) Course Assignment - Project, and 6) Advanced SQL for Data Engineer. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/jerxq6 

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)