Data Analysis with SQL using MySQL Database Server

Data Analysis with SQL using MySQL Database Server, available at $19.99, has an average rating of 4.4, with 47 lectures, based on 14 reviews, and has 1098 subscribers.

You will learn about Perform data analysis with SQL Write Real World SQL Queries Write queries to get all data from a database Write queries to get specific data from a database Write queries to get data from multiple database tables Write queries to add new data to a database Write queries to update existing data in the database Write queries to remove data from the database Write queries to filter data from a database Write queries to sort data from a database Write queries to join data from multiple tables in a database This course is ideal for individuals who are Beginner Data Analyst or Beginner Data Scientist It is particularly useful for Beginner Data Analyst or Beginner Data Scientist.

Enroll now: Data Analysis with SQL using MySQL Database Server

Summary

Title: Data Analysis with SQL using MySQL Database Server

Price: $19.99

Average Rating: 4.4

Number of Lectures: 47

Number of Published Lectures: 47

Number of Curriculum Items: 47

Number of Published Curriculum Objects: 47

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

Perform data analysis with SQL
Write Real World SQL Queries
Write queries to get all data from a database
Write queries to get specific data from a database
Write queries to get data from multiple database tables
Write queries to add new data to a database
Write queries to update existing data in the database
Write queries to remove data from the database
Write queries to filter data from a database
Write queries to sort data from a database
Write queries to join data from multiple tables in a database

Who Should Attend

Beginner Data Analyst
Beginner Data Scientist

Target Audiences

Beginner Data Analyst
Beginner Data Scientist

Data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.

Using SQL for data analysis refers to the database querying language’s ability to interact with databases , as well as its use of relational databases. SQL is one of the most commonly used and flexible languages, as it combines a surprisingly accessible learning curve with a complex depth that lets users create advanced tools and dashboards for data analytics.

SQL is also commonly used to perform small to complex data analysis.

SQL is a standard language for storing, manipulating and retrieving data in databases.

SQL stands for Structured Query Language. SQL lets you access and manipulate databases

SQL can execute queries against a database
SQL can retrieve data from a database
SQL can insert records in a database
SQL can update records in a database
SQL can delete records from a database
SQL can create new databases
SQL can create new tables in a database
SQL can create stored procedures in a database
SQL can create views in a database

This course provides several exercises for you practice your SQL skills. The course also walks you through the solutions to these questions step by step. and explains important key concepts to give you a better understanding.

SQL is necessary for almost everything data related. Database systems have been around since the 1970’s and are used extensively at all companies and organizations. And to work with these databases at anything other than a very basic level, you need to understand and write SQL. And unlike some other technologies and programming languages (which change very frequently), SQL is much more stable. Once you learn it, it’s a skill you can use for a lifetime.

Course Curriculum

Chapter 1: MySQL Setup

Lecture 1: Overview of data analysis with SQL using MySQL Database Server

Lecture 2: Introduction

Lecture 3: What is Data Analysis

Lecture 4: What is SQL

Lecture 5: What is MySQL

Lecture 6: Database Concepts

Lecture 7: Installing MySQL Database Server on Windows

Lecture 8: Installing MySQL on Mac

Lecture 9: Installing MySQL Workbench on Mac

Lecture 10: What is a Schema

Lecture 11: Exploring data source

Chapter 2: SQL Data Analysis ( Text Based )

Lecture 1: Objective of the analysis

Lecture 2: Question 1

Lecture 3: Answer 1

Lecture 4: Question 2

Lecture 5: Answer 2

Lecture 6: Question 3

Lecture 7: Answer 3

Lecture 8: Question 4

Lecture 9: Answer 4

Lecture 10: Question 5

Lecture 11: Answer 5

Lecture 12: Conclusion

Chapter 3: SQL Data Analysis ( Video Based)

Lecture 1: Exercise 1

Lecture 2: Solution 1

Lecture 3: Exercise 2

Lecture 4: Solution 2

Lecture 5: Exercise 3

Lecture 6: Solution 3

Lecture 7: Exercise 4

Lecture 8: Solution 4

Lecture 9: Exercise 5

Lecture 10: Solution 5

Lecture 11: Exercise 6

Lecture 12: Solution 6

Lecture 13: Exercise 7

Lecture 14: Solution 7

Lecture 15: Exercise 8

Lecture 16: Solution 8

Lecture 17: Exercise 9

Lecture 18: Solution 9

Lecture 19: Exercise 10

Lecture 20: Solution 10

Lecture 21: Exercise 11

Lecture 22: Solution 11

Lecture 23: Exercise 12

Lecture 24: Solution 12

Instructors

Bluelime Learning Solutions
Making Learning Simple

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 2 votes
4 stars: 0 votes
5 stars: 11 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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