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SQL for Data Analytics

SQL stands for Structured Query Language. SQL is used to communicate with the Database in Relational Database Management system. Using SQL the user can make updates to the Database, retrieve desired information from the Database and also manipulate and organize data in the Database. Data Analytics uses the fundamentals of Data Science to analyze data and thus obtain useful information by processing raw data.
Why should you enroll in this Bootcamp?
- For enthusiasts aspiring to make a career in Data Science and Data Analytics the most important skill to be acquired is – SQL.
- To perform Data Analytics Data Scientists, use SQL as a standard tool to extract and organize data.
- The application of Data Analytics is so huge that Data Analysts find job opportunities in a spectrum of industries.
- Job opportunities for BI engineers & Data analysts have been increasing with the increasing application of Business Intelligence in industries
- Data Analytics helps organizations make knowledgeable and informed decisions.
- Organizations are able to enhance customer experiencing using data analysis and provide better customer satisfaction.
- Data Analytics instills problem solving skills in the practitioners.
1
Introduction to databases, SQL & MySQL
2
SQL Theory
3
Basic database terminology
4
Installation of MySQL workbench and server
5
First steps in SQL
6
MySQL constraints
7
SQL SELECT statement
8
SQL INSERT
9
SQL UPDATE
10
SQL DELETE
11
Aggregate function
12
SQL Joins
13
SELF JOIN
14
SQL sub-queries
15
SQL Views
16
Stored Routines
17
Advanced SQL
18
Combining SQL with Tableau
19
Data visualization with Tableau
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