About Course
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! What you'll 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 Requirements No prior technical experience is required! All you need a computer! No SQL experience needed. You will learn everything you need to know No software is required in advance of the course (all software used in the course is free) Who this course is for: 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! 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. In this course you will be learn everything you need to become a SQL DataScience Pro! Including: Get started with MySQL Server, 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 advanced your SQL DataScience skills Import and Export .CSV or Excel files in to SQL Database Learn How to take Secure backup & restore database. Learn to write SELECT statements Learn to Create SQL scripts Applying Primary and Foreign Keys Creating Views and 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 Schema Design Creating Different on required Business reports Learn to Write Case 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 and much more! This is course that put's 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 fluently programming and be 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 40,000+ students in many countries. He has a Master of Science in Computer Applications as Software Engineering. His students describe him as passionate, pragmatic, and motivational in his teaching.
Course Content
1. Getting Started
a. Introduction
00:00b. How to get course requirements
00:00c. Getting started on Windows, Linux or Mac
00:00d. How to ask great questions
00:00e. FAQ’
00:00Source Code
00:00
2. SQL Server setting up
3. SQL Database basics
4. SQL DML (Data Manipulation Language)
5. SQL DDL (Data Definition Language)
6. SQL DCL (Data Control Language)
7. SQL Statement Basic
8. Filtering Data rows
9. Aggregate functions for Data Analysis
10. SQL Data Analyticstatements
11. SQL Group by statement
12. JOINS
13. SQL Constraints
14. Views
15. Advanced SQL Functions
16. SQL Stored procedures
17. Import & Export data
18. Backup and Restore Database
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