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Learn MySQL from scratch for Data Science and Analytics

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Learn MySQL from scratch for Data Science and Analytics, available at $54.99, has an average rating of 4.53, with 89 lectures, based on 78 reviews, and has 7173 subscribers.

You will learn about Use SQL to query a data for business reports Get a job as a junior Data Analytics developer Advanced SQL statements for complex queries 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 points Apply SQL for Data Science and Data Engineering Using JOINS, return data from multiple tables in the same query for reports Complete Analysis statements that use aggregate functions Import and Export .CSV, Excel data sheets to SQL Database tables Learn to apply Secure Backup and Restore Full SQL Database on your real data learn what is Generative AI for future learning This course is ideal for individuals who are Beginner SQL, Data Science and Analytics – developers curious about SQL Career or Anyone who wants to generate new income streams or Anyone who works with data analytics, or databases! or Anyone who wants to become Business intelligence developer or Anyone who wants to start their own business or become freelance or Anyone who wants to become a Data Science developer or If you work in: marketing, finance, accounting, operations, sales, manufacturing, healthcare, financial services, or any other industry/function that collects information or Someone who wants to learn skills that give them the potential to earn near SIX figures! It is particularly useful for Beginner SQL, Data Science and Analytics – developers curious about SQL Career or Anyone who wants to generate new income streams or Anyone who works with data analytics, or databases! or Anyone who wants to become Business intelligence developer or Anyone who wants to start their own business or become freelance or Anyone who wants to become a Data Science developer or If you work in: marketing, finance, accounting, operations, sales, manufacturing, healthcare, financial services, or any other industry/function that collects information or Someone who wants to learn skills that give them the potential to earn near SIX figures!.

Enroll now: Learn MySQL from scratch for Data Science and Analytics

Summary

Title: Learn MySQL from scratch for Data Science and Analytics

Price: $54.99

Average Rating: 4.53

Number of Lectures: 89

Number of Published Lectures: 89

Number of Curriculum Items: 89

Number of Published Curriculum Objects: 89

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

  • Use SQL to query a data for business reports
  • Get a job as a junior Data Analytics developer
  • Advanced SQL statements for complex queries
  • 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 points
  • Apply SQL for Data Science and Data Engineering
  • Using JOINS, return data from multiple tables in the same query for reports
  • Complete Analysis statements that use aggregate functions
  • Import and Export .CSV, Excel data sheets to SQL Database tables
  • Learn to apply Secure Backup and Restore Full SQL Database on your real data
  • learn what is Generative AI for future learning

Who Should Attend

  • Beginner SQL, Data Science and Analytics – developers curious about SQL Career
  • Anyone who wants to generate new income streams
  • Anyone who works with data analytics, or databases!
  • Anyone who wants to become Business intelligence developer
  • Anyone who wants to start their own business or become freelance
  • Anyone who wants to become a Data Science developer
  • If you work in: marketing, finance, accounting, operations, sales, manufacturing, healthcare, financial services, or any other industry/function that collects information
  • Someone who wants to learn skills that give them the potential to earn near SIX figures!

Target Audiences

  • Beginner SQL, Data Science and Analytics – developers curious about SQL Career
  • Anyone who wants to generate new income streams
  • Anyone who works with data analytics, or databases!
  • Anyone who wants to become Business intelligence developer
  • Anyone who wants to start their own business or become freelance
  • Anyone who wants to become a Data Science developer
  • If you work in: marketing, finance, accounting, operations, sales, manufacturing, healthcare, financial services, or any other industry/function that collects information
  • Someone who wants to learn skills that give them the potential to earn near SIX figures!

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

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:

learn what is Generative AI for future learning

You’ll learn how to read and write complex queries to a database using one of the most in-demand skills – MySQL 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 on 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 your 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 Data Science 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 Data Science 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 Databases to report and analyze historical data.

Developers

☞ SQL developers must have in-depth knowledge to query, define, manipulate, control, and analyze the data in the database.

University Students

☞ MySQL is one of the most in-demand skills 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.

Learn from real-world experts

In this course, you will learn everything you need to become a SQL Data Science Pro! Including:

    Get started with MySQL Server, and MySQL Workbench these are the world’s most popular open-source SQL tools

    Learn the basics of SQL syntax

    Analyzing data using aggregate functions with GROUP BY commands

    Running advanced queries with string operations and comparison operations

    Learn to use logical operators to add logic flow to your SQL queries

    MySQL Workbench to Connect MySQL Server Instance

    Learn common SQL JOIN statements

    Learn to create tables and databases with constraints on data entries

    Learn to use Python to further advance your SQL Data Science skills

    Import and Export. CSV or Excel files into SQL Database

    Learn How to take Secure backups & restore databases.

    Learn to write SELECTstatements

    Learn to Create SQL scripts applying WHEREclause

    Applying Primary and Foreign Keys

    Creating Viewsand Accessing View Data

    Writing Stored Procedures for re-use SQL scripts

    Dynamic SQL queries and Aggregate Functions

    Subqueries to make complex queries

    EER Diagram to prepare and view the SchemaDesign

    Creating Different required Business reports

    Learn to Write Statements for Decision-Making Queries

    Apply Real-world Data queries for Data Analytics and Data type

    SELECT on Query Calculations for Orders price on SALEs analysis

    and much more!

This is a course that puts you in control, having you create and restore databases, instead of watching someone else code steps. Every section comes with fresh challenge tasks, modeled after real-world tasks and situations.

I’ve spent years as an instructor both online and in-person at Fortune 500 companies, and this course is built to combine the best of both worlds, allowing you to learn at your own pace through an interactive environment. You will start with the basics and soon find yourself working with advanced commands, dealing with timestamp data and variable character information like a seasoned professional.

SQL is one of the most in-demand skills for business analysts, data scientists, and anyone who finds themselves working with data! Upgrade your skill set quickly and add SQL to your resume by joining today!

Check out the free preview videos for more information!

By the end of this course, you will be fluent in programming and ready to make any application you can dream of.

  •     Sign up today, and look forward to:

  •     HD Video Lectures

  •     SQL Query Challenges and SQL Query Exercises

  •     Beautiful Real-World dynamic Projects

ABOUT YOUR INSTRUCTOR

Sekhar Metla is a software engineer with 20+ years of professional experience. He is the author of several online-selling courses with more than 60,000+ students in many countries. He has a Master of Science in Computer Applications in Software Engineering. His students describe him as passionate, pragmatic, and motivational in his teaching.

What are you waiting join now to start learning how to make your own SQL Basic Data Science Career TODAY 🙂

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: How to get course requirements

Lecture 3: Getting started on Windows, Linux or Mac

Lecture 4: How to ask great questions

Lecture 5: FAQ’s

Lecture 6: What is Source code

Lecture 7: Learn What is Generative AI / Gen AI

Chapter 2: SQL Server setting up

Lecture 1: Section Introduction

Lecture 2: MySQL Server Installation

Lecture 3: Connect MySQL Server Instance

Lecture 4: MySQL Workbench overview

Lecture 5: Download and Restore Sample Database

Chapter 3: SQL Database basics

Lecture 1: Section Introduction

Lecture 2: Overview of Databases

Lecture 3: Creating Database

Lecture 4: SQL Data Types

Lecture 5: Column Data Types on Workbench

Lecture 6: Creating Table

Lecture 7: Overview of Primary and Foreign Key

Lecture 8: Primary Key

Lecture 9: Foreign Key

Lecture 10: Creating Temporary tables

Lecture 11: EER – Enhanced Entity Relationship Diagrams

Chapter 4: SQL DML (Data Manipulation Language)

Lecture 1: Section Introduction

Lecture 2: Insert statement

Lecture 3: Update statement

Lecture 4: Delete statement

Chapter 5: SQL DDL (Data Definition Language)

Lecture 1: Section Introduction

Lecture 2: CREATE table statement

Lecture 3: DROP statement

Lecture 4: ALTER statement

Lecture 5: TRUNCATE statement

Lecture 6: COMMENT in query

Lecture 7: RENAME table

Chapter 6: SQL DCL (Data Control Language)

Lecture 1: Create Database user

Lecture 2: GRANT permissions

Lecture 3: REVOKE permissions

Chapter 7: SQL Statement Basic

Lecture 1: Section Introduction

Lecture 2: SQL Statement basic

Lecture 3: SELECT Statement

Lecture 4: SELECT DISTINCT

Lecture 5: SELECT with column headings

Lecture 6: Column AS statement

Lecture 7: DASHBOARD Analytics

Chapter 8: Filtering Data rows

Lecture 1: SELECT WHERE Clause – theory

Lecture 2: SELECT WHERE Clause – practical

Chapter 9: Aggregate functions for Data Analysis

Lecture 1: Sum()

Lecture 2: Min()-Max()

Chapter 10: SQL Data Analytic statements

Lecture 1: Order By statement

Lecture 2: SELECT TOP 3 records

Lecture 3: BETWEEN command

Lecture 4: IN operator

Lecture 5: Search Data using LIKE cards

Chapter 11: SQL Group by statement

Lecture 1: Section Introduction

Lecture 2: Group by – theory

Lecture 3: Data Analytics with Group By

Lecture 4: HAVING statement

Chapter 12: JOINS

Lecture 1: Overview of Joins

Lecture 2: What are Joins

Lecture 3: Inner join

Lecture 4: Left outer join

Lecture 5: Right outer join

Lecture 6: Union

Lecture 7: CERTESIAN Product or Cross Join

Lecture 8: Query Exercise

Lecture 9: Solution for Query Exercise

Chapter 13: SQL Constraints

Lecture 1: Section introduction

Lecture 2: Check constraint

Lecture 3: NOT NULL constraint

Lecture 4: UNIQUE constraint

Chapter 14: Views

Lecture 1: Creating Views

Lecture 2: Data Analytic Views from multiple tables

Chapter 15: Advanced SQL Functions

Lecture 1: Section Introduction

Lecture 2: Timestamp

Lecture 3: Extract from timestamp

Lecture 4: Mathematical scalar functions

Lecture 5: String functions

Lecture 6: Advanced functions

Lecture 7: Sub Queries

Lecture 8: SELECT with calculations

Chapter 16: SQL Stored procedures

Lecture 1: Create stored procedure

Lecture 2: Stored procedure with parameter

Lecture 3: Drop Procedure

Chapter 17: Import & Export data

Instructors

Rating Distribution

  • 1 stars: 0 votes
  • 2 stars: 3 votes
  • 3 stars: 9 votes
  • 4 stars: 20 votes
  • 5 stars: 46 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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