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Course Drive > Udemy > Development > SQL for Data Science ,Oracle , MySQL, R and Python [2020]
Development

SQL for Data Science ,Oracle , MySQL, R and Python [2020]

Last updated: 2022/09/25 at 10:35 AM
ADMIN September 25, 2022
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SQL for Data Science ,Oracle , MySQL, R and Python [2020] Download

Learn Database design ,Write SQLs in R and Python and do Data Analysis. Learn to create ORACLE and MySQL databases.

What you’ll learn

  • Start writing simple to the most advanced SQL queries in Oracle and MySQL
  • Start using SQL queries on powerful R and Python console and plots graph for visualizations and data analysis
  • Create own database in your laptop – Oracle and MySQL
  • Start using filter , having clause , joins with multiple tables ,aggregators etc.
  • Create DDL commands and modify the schema objects.
  • Import / Export files from and to database

Requirements

  • Passion for Data
  • Desktop/Laptop

Description

Recent Reviews:

—> “Yes definitely this is the course what I was looking for . Kudos to instructor who clearly explains the basics . Quizzes are really helpful ..”

**** Taught by Data Scientist with over 12++ years of Industry Experience ****

**** Lifetime access to course materials . 100% money back guarantee ****

Start writing simple to the most advanced SQL queries.

Start using SQL queries in Oracle , MySQL

Integrate R and Python with Database and execute SQL command on them for data analysis and Visualizations.

Start using filter , having clause , joins with multiple tables ,aggregators etc.

Create DDL commands and modify the schema objects.

Create own database in your laptop/Desktop – Oracle and MySQL

Import and export data from and to external files.

 

We will be using real world data sets for Market data and Company .

Who this course is for:

  • Beginners who are looking to enhance their data science skills
SQL for Data Science ,Oracle , MySQL, R and Python [2020] Download

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Source: https://www.udemy.com/course/sql-for-data-science/
TAGGED: Data Science
ADMIN July 21, 2020
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