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Introduction to Practical SQL for Data Analytics

Introduction to Practical SQL for Data Analytics


Math Matters
37-07 74th St, Suite #7
Jackson Heights
Queens, NY 11372
Register for Course
Wednesday, October 17, 2018 - 9:00am


Introduction to SQL for Data Analytics for Beginners 7.5 + 7.5 hours [Saturdays / Wednesdays] Introduction to Practical SQL for Data Analytics (14 hours) Duration: 2 day(s) Prerequisite: Basic Excel 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 PPT: 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 SQL 101.2 Session Part 1 Understand Different Cloud databases Difference between SQL and NoSQL Run SQL Workbench and connect to AWS endpoint Part 2 Run nested Group by Join multiple tables Join and Group by in the same code Sub queries CASE Statement Part 3 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 Part 4 Correlated queries Views Index Prerequisite is 101 SQL You need a computer with SQL workbench SQL 101.3 Session 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 Executing a Simple Query 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 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 Sort Data Rank 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 Appendix A: 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. SQL 101.4 Session Project Portfolio for Github for showcasing to prospective employers #Instructor: Shivgan Joshi [email protected] 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). **

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