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SQL – MySQL for Data Analytics and Business Intelligence

[100% Off]- SQL- MySQL for Data Analytics and Business Intelligence
SQL that will get you hired – SQL for Business Analysis, Marketing, and Data Management

Bestseller – 4.5 (3,459 ratings)
15,231 students enrolled
Created by 365 Careers
Last updated 9/2018
English  – English [Auto-generated], Portuguese [Auto-generated] Spanish [Auto-generated]

• Become an expert in SQL
• Learn how to code in SQL
• Boost your resume by learning an in-demand skill
• Create, design, and operate with SQL databases
• Start using MySQL – the #1 Database Management System
• Prepare for SQL developer, Database administrator, Business Analyst, and Business Intelligence job opportunities
• Adopt professionally tested SQL best practices
• Gain theoretical insights about relational databases
• Work with a sophisticated real-life database throughout the course
• Get maximum preparation for real-life database management
• Add data analytical tools to your skillset
• Develop business intuition while solving tasks with big data
• Study relational database management theory that you will need in your workplace every day
• Learn how to create a database from scratch
• The ability to take control of your dataset – insert, update, and delete records from your database
• Be confident while working with constraints and relating data tables
• Become a proficient MySQL Workbench user
• Acquire top-notch coding techniques and best practices
• Know how to answer specific business questions by using SQL’s aggregate functions
• Handle complex SQL joins with ease
• Approach more advanced topics in programming like SQL’s triggers, sequences, local and global variables, indexes, and more
• Merge coding skills and business acumen to solve complex analytical problems
• Become a proficient SQL user by writing flawless and efficient queries
• Tons of exercises that will solidify your knowledge
• The freedom to query anything you like from a database

No prior experience is required. We will start from the very basics

How important is database management in the age of big data and analytics?
It is really important.

How many employers would be happy to hire employees who can use data for the purposes of business intelligence?
All of them.
How many people have these skills?
Not enough.
This is why now is the time to learn SQL and gain a competitive advantage in the job market. Remember, the average salary of a SQL developer is $92,000! That’s a lucrative career.

Well, when you can work with SQL, it means you don’t have to rely on others sending you data and executing queries for you. You can do that on your own. This allows you to be independent and dig deeper into the data to obtain the answers to questions that might improve the way your company does its business. For instance, Database management is the foundation for data analysis and intelligent decision making.

Worried that you have no previous experience?
Not an issue. We will start from the very basics and gradually teach you everything you need to know. Step by step. With no steps skipped.

SQL – MySQL for Data Analytics and Business Intelligence

Why take this course in particular? Isn’t it like the rest of the SQL courses out there?
We would like to think it isn’t. Our team worked hard to create a course that is:

• Easy to understand
• Time efficient and concise
• Shows how SQL can be crucial for data analytics and business intelligence

• Comprehensive – it covers several topics not shown in other SQL courses

• Practical – it teaches you how to work with a real-life database

• Corresponds to professional best practices
• Taught in MySQL – The most popular SQL database management system
• Contains plenty of downloadable exercises, course notes, and quiz questions
Some of these aspects have been covered in other courses. Others haven’t. However, no one provides such a variety of topics in one place.
We firmly believe this course is the best training material out there. It is a truly interactive experience preparing you for a real-life working environment.

 

So far, over 210,000 students have enrolled in our courses here on Udemy. Teaching is what we do best, and we take pride in going the extra mile to create the best content for you, our students. Our mission is to help you bridge the gap between theoretical knowledge taught at school and in universities and the practical application required at the workplace.
So, why do you need to enroll in this course and learn SQL? SQL – MySQL for Data Analytics and Business Intelligence

1. Salary/Income. As we pointed out earlier, learning SQL is a great opportunity. There is a significant surge in demand for skills revolving around database management, database administration, and business analysis relying on data. Companies will pay top dollars for specialists who have such know-how

2. Profession of the future. In the years to come, data will only grow in importance and size. Therefore, it is great to pick up a skill that will likely increase in demand over the years to come

3. Analytical reasoning. Programming languages are a great way to train your mind. Furthermore, understanding a business task and looking for its solution through writing code can be really interesting and stimulating once you become familiar with the basics

What about certificates? Do you provide a certificate?

Upon completion of the course, you will be able to download a certificate of completion with your name on it. Then, you can upload this certificate on LinkedIn and show potential employers this is a skill you possess.

Sounds awesome, right?

So, what are you waiting for? Click the “Take this course” button, and let’s begin this journey together!
Who is the target audience? SQL – MySQL for Data Analytics and Business Intelligence

• People interested in SQL developer, Database administrator, Business Analyst, and Business Intelligence job opportunities
• Beginners to programming
• Everyone who wants to learn how to code and apply their skills in practice

 

Featured review

Clear, concise, to the point and teaches each aspect of SQL thoroughly. I will say though that although the instructor is very understandable and clear, he’s unnaturally happy and cheery throughout. I don’t know, it just felt weird to me. /shrug But otherwise, highly recommended!

 

Who is the target audience?
People interested in SQL developer, Database administrator, Business Analyst, and Business Intelligence job opportunitiesBeginners to programmingEveryone who wants to learn how to code and apply their skills in practice

 

 

Introduction to databases, SQL, and MySQL14:12

  • What does the course cover? Preview 04:14
  • Why SQL? Preview 03:17
  • Why SQL? 2 questions
  • Why MySQL? Preview 01:57
  • Why MySQL ? 1 question
  • Introduction to databases Preview 04:44
  • Introduction to databases 2 questions
  • Although with some procedural elements, SQL is mainly regarded as a declarative programming language, it is nonprocedural. This means, while coding, you will not be interested in how you want the job done. The focus is on what result you want to obtain.SQL as a declarative language 02:10
  • SQL as a declarative language 2 questions
  • The Data Definition Language, DDL, is called a language, but you can think of it as a syntax, a set of statements that allow the user to define or modify data structures and objects, such as tables. Examples of the statements of the Data Definition Language are:CREATEALTERRENAMETRUNCATEData definition language (DDL) 04:12
  • Data definition language (DDL)1 question
  • A brief explanation on what SQL keywords are about.SQL keywords 01:12
  • We will learn about some DML statements that allow us to manipulate the data in the tables of a database:SELECTINSERTUPDATEDELETEData manipulation language (DML) 04:55
  • The Data Control Language is a syntax containing only two statements – GRANT and REVOKE. These statements allow us to manage the rights users have in a database.Data control language (DCL) 05:03
  • A brief introduction the Transaction Control Language (TCL) and its application.Transaction control language (TCL) 03:0

Basic database terminology 34:5

  • In this lesson, we will provide you with the tools that are essential for dealing with relational databases. They will help you maintain a database that can be characterized as:compactwell-structuredefficientRelational database essentialsPreview 04:51
  • In this lecture, we will focus on the differences between spreadsheets and databases. This exercise will be relevant not only for current Excel users. Those of you who do not use Excel regularly will still have the chance to understand the advantages and the disadvantages of using databases or spreadsheets.Databases vs spreadsheetsPreview 08:06
  • To complete our theoretical preparation, we will need to learn more database terminology. We will discuss the meaning of such terms as:database designerentity-relationship diagramrelational and database schemadatabase manipulation, management, and administrationDatabase terminology 04:17
  • In this video, we will introduce the concept of using primary keys in MySQL.Relational schemas – Primary key 04:55
  • In this lesson, we will present the concept of using foreign keys in MySQL, as well as their relation to primary keys.Relational schemas – Foreign key 04:58
  • Here, we will explain what unique keys are, and will introduce you to null values in SQL.Relational schemas – Unique key and null values 03:07
  • This is a lecture in which we will try to illustrate that relationships between tables can be categorized. We will study the main types of relationships you will likely need in your workplace.Relationships 04:39

Installing MySQL and getting acquainted with the interface6 lectures25:13

First steps in SQL20 lectures43:13

MySQL constraints16 lectures 36:35

SQL best practices2 lectures 09:45

Loading the ’employees’ database2 lectures 02:58

SQL SELECT statement58 lectures 01:13:29

SQL INSERT statement9 lectures 13:51

SQL UPDATE Statement5 lectures 09:01

SQL DELETE Statement5 lectures 09:11

MySQL – Aggregate functions22 lectures 20:23

SQL Joins36 lectures 01:16:47

SQL Subqueries11 lectures17:30

SQL Self Join1 lecture07:44

SQL Views3 lectures 07:31

Stored routines18 lectures 45:45

Advanced SQL Topics19 lectures 33:16

Combining SQL and Tableau – Introduction5 lectures 15:51

Combining SQL and Tableau – Task 17 lectures

Combining SQL and Tableau – Task 25 lectures 13:59

Combining SQL and Tableau – Task 35 lectures 10:49

Combining SQL and Tableau – Task 45 lectures 09:21

Combining SQL and Tableau – Task 51 lecture 06:04

BONUS LECTURE1 lecture 00:42

Expand all 279 lectures 09:39:17
Size: 2.34G

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