Learn MySQL from scratch for Data Science and Analytics

Using MySQL Server RDBMS with Workbench to Become a SQL Expert on Queries for your Business Logic on real world problems!

Sekhar Metla

Instructor

Bestseller Top Rated

Included with Data Science & AI/ML Pack

What you will learn?

Use SQL to query a data for reports
Get a job as a junior Data Analytics developer
Advanced SQL statements
Use Workbench to prepare Database schema structure
Be comfortable putting SQL and MySQL on their resume
Learn to perform GROUP BY statements for Business Intelligence reports
Replicate real-world situations and query reports
Complete basic SELECT statements querying against a single table
Filter data using the WHERE clause to identify required data
Apply SQL for Data Science
Using JOINS, return data from multiple tables in the same query
Complete Analysis statements that use aggregate functions
Import and Export .CSV, Excel to SQL Database
Performing Secure Backup and Restore Full SQL Database

This Course Includes

Recorded Lessons: 88
Recorded Hours: 6
Duration: 6 days (Avg)

TD Assessment Available
Access on Mobile

Course Description

Learn how to use MySQL for DataScience quickly and effectively with this course!

At this Masterclass on SQL course is without a doubt the most comprehensive SQL database course available online. Even if you have zero SQL experience, this course will take you from beginner to mastery. Here's why:

You'll learn how to read and write complex queries to a database using one of the most in demand skills - Microsoft SQL Server. These skills are also applicable to any other major RDBMS database, such as MySQL, PostgreSQL, Amazon Redshift, Oracle, and much more.

Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems.

Whether you have successfully completed the other courses in the Learn SQL for Data Science and Data Analytics or are taking just this course, this roadmap is your chance to apply the knowledge and skills you have acquired to practice important SQL querying and solve problems with data. You will participate in your own personal or professional journey to create a portfolio-worthy piece from start to finish. You will choose a own dataset and develop a project proposal. You will explore your data and perform some initial statistics you have learned through this course. You will uncover analytics for qualitative data and consider new metrics that make sense from the patterns that surface in your analysis. You will put all of your work together in the form of a presentation where you will tell the story of your findings.

Learning SQL for DataScience is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! In this course you'll learn quickly and receive challenges and tests along the way to improve your understanding!

The course is taught by the lead instructor having 20+ years of professional experience.

We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a SQL DataScience developer.

Database Administrator
☞ DBAs must possess in-depth SQL knowledge so they can understand and review SQL and host language programs in order to recommend changes for optimization. Also to do performance management & tuning.

Data Science Aspirants
☞ Learn to handle large volumes of numerical data, bring coherence to the data and make it useful for senior management in their decision making process.

Aspiring Analysts
☞ Candidates will learn to create efficient, robust and flexible Database to report and analyze historical data.

Developers
☞ Sql developers must have indepth knowledge to query, define, manipulate, control and analyze the data in database.

University Students
☞ MySQL is one of the most in demand skill in any data related job that all recruiters specifically look for, boosting your job prospects by over 40%.

Job Seekers
☞ Build an impressive resume with practical work & projects to back your Database Management Skills & get certified by a SQL Expert.

Course Content

88 Lessons | 5hr 47min

Frequently Asked Questions

This course is designed to teach you the fundamentals of MySQL, a powerful relational database management system. You'll learn how to create, manage, and manipulate databases, as well as how to use SQL queries for data analysis and reporting, making it ideal for those interested in data science and analytics.

This course is suitable for beginners with no prior experience in databases or SQL. It’s ideal for aspiring data analysts, data scientists, or anyone looking to enhance their data management skills using MySQL

No prior knowledge of MySQL or databases is required. However, a basic understanding of programming concepts and data structures can be beneficial. The course starts from the basics and progresses to more advanced topics.

The course includes recorded video lectures, downloadable resources, exercises to reinforce your learning.

You will have lifetime access to the course materials, including any future updates, so you can learn at your own pace and revisit the content whenever needed.

(4.9)

5hr 47min

₹649 ₹2499

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Learn MySQL from scratch for Data Science and Analytics

Sekhar Metla

What you will learn?

This Course Includes

Course Description

Course Content

Getting Started

Introduction 2m

How to get course requirements 1m

Getting started on Windows, Linux or Mac

How to ask great questions 1m

FAQ’s 1m

SQL Server setting up

Section Introduction 1m

MySQL Server Installation 13m

Connect MySQL Server Instance 5m

MySQL Workbench overview 10m

Download and Restore Sample Database 7m

SQL Database basics

Section Introduction 1m

Overview of Databases 9m

Creating Database 6m

SQL Data Types 3m

Column Data Types on Workbench 7m

Creating Table 3m

Overview of Primary and Foreign Key 3m

Primary Key 6m

Foreign Key 11m

Creating Temporary tables 12m

EER – Enhanced Entity Relationship Diagrams 4m

SQL DML (Data Manipulation Language)

Section Introduction 1m

Insert statement 7m

Update statement 6m

Delete statement 3m

SQL DDL (Data Definition Language)

Section Introduction 1m

CREATE table statement 7m

DROP statement 2m

ALTER statement 4m

TRUNCATE statement 3m

COMMENT in query 2m

RENAME table 3m

SQL DCL (Data Control Language)

Create Database user 3m

GRANT permissions 5m

REVOKE permissions 3m

SQL Statement Basic

Section Introduction

SQL Statement basic 3m

SELECT Statement 3m

SELECT DISTINCT 1m

SELECT with column headings 1m

Column AS statement 2m

DASHBOARD Analytics 6m

Filtering Data rows

SELECT WHERE Clause – theory 3m

SELECT WHERE Clause – practical 6m

Aggregate functions for Data Analysis

Sum() 6m

Min()-Max() 2m

SQL Data Analytic statements

Order By statement 4m

SELECT TOP 3 records 1m

BETWEEN command 5m

IN operator 2m

Search Data using LIKE cards 4m

SQL Group by statement

Section Introduction

Group by – theory 3m

Data Analytics with Group By 3m

HAVING statement 3m

JOINS

Overview of Joins 2m

What are Joins 2m

Inner join 6m

Left outer join 2m

Right outer join 1m

Union 2m

CERTESIAN Product or Cross Join 3m