SQL Masterclass for Data Analysis with BigData

[lovewarez]

SQL Masterclass for Data Analysis with BigData
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 59 lectures (4h 52m) | Size: 4.12 GB
Master SQL queries and Become an In-demand SQL Professional. Also included - Data Analysis of Big Data with BigQuery What you'll learn:
Master SQL queries and Become an In-demand SQL Professional. Also included - Data Analysis of Big Data with BigQuery

Requirements
No prior knowledge required

Description
Welcome to the best online course on SQL.

SQL stands for Structured Query Language.

It is designed for managing data in a relational database management system (RDBMS). SQL is a database language, it is used for database creation, deletion, fetching rows, and modifying rows, etc.

SQL is needed for Data Scientists to get data and to work with that data.

Without databases, data science is meaningless.

A Data Analyst can use SQL to access, read, manipulate and analyze the data stored in a database and generate useful insights to drive an informed decision making process.

This course is best for you to learn SQL.

It covers basic to advanced level SQL concepts.

In this course, you will cover:-

Learn about creating databases and tables in SQL

Learn about building basic SQL queries

Learn about Numerical, string functions in SQL

Learn about HAVING clause

Learn about filtering using LIKE operator in SQL

Learn about different DDL and DML commands

Learn about the different datatypes in SQL

Lear about Constraints

Learn about primary key and foreign key

Learn about the different Joins in SQL- LEFT, RIGHT, INNER, COMPOUND, MULTIPLE.

Learn about subqueries in SQL

Learn connecting Python and MySQL

Not only this, you will get to practice lots and lots of exercises from the world famous coding platform "HackerRank".

After finishing this course, you will become an expert in SQL.

We are also providing quizzes.

You will also have access to all the resources used in this course.

Who this course is for
Data Analysts
Data Scientists
Business Analysts

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