SQL Immersive Course NYC
Introduction to SQL for Data Analytics for Beginners
Introduction to Practical SQL for Data Analytics
Duration: 7 days 35 hours
Prerequisite: Basic Excel
SQL Developer Immersive Boot-camp
||SQL Intro -Filtering, inbuilt functions. Creating DB.
||Installations on Ubuntu (MYSQL, SQLite). Joins, Group by, Views
||AWS / Digital Ocean
||Advanced Joins and Group by (Nested) Union, CASE, Sub queries, CTE, Casting
||MYSQL / SQL Server
||Database Design (Foreign Keys, M-2-M tables)
Creating Database Diagrams in Workbench / SQL Server
||Functions, Procedures, Indexing, Timestamps, constraints, indexes, and triggers
||MYSQL / SQL Server
||SQLite for Python (Flask Django & Pandas)
||NoSQL MongoDB, Hadoop HIVE and Hbase installation
Computer with SQL server and Adventurework Database would help but not a mandatory requirement
Suggested Installs: SQLite, SQL Server, MYSQL Workbench, MySQL server
Class is meant to be for non programmers
Day 1 SQL 101.1 Session
The courses teaches MYSQL using online platforms and explains querying and creating tables. Introduces with querying logic and explains group by and joins in SQL. The class is completely hands on and assumes no prior knowledge.
This class is an ideal class for learning group by, joins, in built functions. After taking this SQL 101 class you can take other intermediate classes or classes involving functions, procedures and views. After attending the course, you can expect to run simple group by, joins and filtering on SQL tables. Also learn about SQL Analytics and SQL Server.
Top 10 frequently asked SQL interview questions along with solutions and example is provided.
You will be also provided the 15 SQL queries that we run in the class for future reference.
The user also gets the code and slides for future references.
Intro to different versions of SQL
Part A: Create your tables and input values
Part B: Select based on different filtering
Part C: Group by, Union and Joins
Part D: String functions
Day 2 SQL 101.2 Session
Microsoft SQL Server - Adventure-works and Northwind
Understand Different Cloud databases
Difference between SQL and NoSQL
Run SQL Workbench and connect to AWS endpoint
Run nested Group by
Join multiple tables
Join and Group by in the same code
Custom functions and string functions
CAST, string, date functions
Functions and Procedures
When to use functions and procedures
Use a Wildcard with a Parameter
Handling date time format
Null values count and Joins
Correlated queries Views
Prerequisite is 101 SQL
You need a computer with SQL workbench
Day 3 SQL 101.3 Session
MYSQL and MYSQL-Workbench
What will you achieve from this class:
Create a DB design for your day to day work data that you use in Excel
Understand what you can do and what you cannot do. Or rather how hard or simple it is to do some analytical steps in SQL.
Understand Data Wrangling using Group, Joins and PIVOT to get data in the format you need
For any data that comes to you new tools get new insights
Get Excel equivalent functions for SQL commands
Understand the data wrangling terms often used in Data Analytics that remain common to all languages (Python / R / SQL)
Project and Games-
Convert a simple Excel data in SQL and learn how scripting would automate manual task
Query data for group by, joins, pivot for the data we created
It is recommended for the learner to read the below questions and think over them to make the most out of the sessions.
Introduction to need of SQL and Design Aspects
Why do we need SQL? What is wrong with excel?
Different distribution packages available from Oracle, microsoft, ibm
For example: if we create the information of people attending the classes in excel- what is wrong with that?
How will SQL give us some better way of handling data?
Top 5 problems in Excel and top 5 most useful features in SQL
Can I and should I move all my data of work from excel to SQL? How would I do that?
Can I link Excel with SQL?
Project: Table of people attending the class. Understand and demonstrate what is possible and what is not. Also comment on how hard it would be.
Getting Hands on with SQL and Outline
*You need an SQL Server Developers Edition on a Windows Based System
** If you have a Mac then you will be required to setup an AWS account and EC2 with Windows and SQL Server
What happens if you want to repeat some steps. VBA vs Sql.
Connect to the SQL Database - Can you control access to users for specific sheets in excel? what about SQL security?
Query the common database available AdventureWork Database / OGCBooks on SQL Server
Save a Query and Modify a Query
Execute a Saved Query
Why do we need condition - what is the Excel equivalent?
Performing a Conditional Search
Search Using a Simple Condition (Filtering)
Compare Column Values
Search Using Multiple Conditions
Search for a Range of Values and Null Values
Retrieve Data Based on Patterns
Day 4 SQL 101.4: Advanced SQL Procs & SQL Functions -
Pre build and predefined Functions in SQL
Why and which are pre built functions in analytics
Working with Functions
Perform Date Calculations
Calculate Data Using Aggregate Functions
Manipulate String Values Organizing Data
Data Wrangling and Data Analytics
Group Data (the most important concept of the lesson!)
Filter Grouped Data
Summarize Grouped Data
Use PIVOT and UNPIVOT Operators (Broad concept that goes to R, Python, SAS, Tablue everywhere)
Retrieving Data from Tables
Combine Results of Two Queries
Compare the Results of Two Queries
Retrieve Data by Joining Tables
Check for Unmatched Records
Retrieve Information from multiple Tables Using Joins (understand Venn diagram - set theory)
Presenting and Making sense of Query Results
Save the Query Result
Generate an XML Report in SQL Server
The OGCBooks Database
Adventure work Database provided by MS.
After completing this course, you will know how to:
Understand why SQL is needed as a solution to limitation of excel
Connect to the SQL Server database and execute a simple query.
Include a search condition in a simple query.
Use various functions to perform calculations on data.
Organize data obtained from a query before it is displayed on-screen.
Retrieve data from tables.
Format an output, save a result, and generate a report.
Day 5 SQL 101.5 Session
Project Portfolio for Github for showcasing to prospective employers
929 356 5046
** Payment Policy: We only accept payment at door and before the class. We accept payment through event leap, cash, Venmo & Paypal(+5). **