Published 4/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 33m | Size: 211 MB
Mastering the JOIN operation in Data Analysis
What you'll learn
Detailed knowledge about Joins in data analysis
Different types of joins, when to use them?
Joins in SQL and their equivalent in Python
Coding practice on all types of Join operations
Requirements
No Application/ software set up Needed, knowledge about SQL/Python NOT mandatory; but will be helpful
Description
Detailed course about various joins in data analysis. The course includes hands-on session for each type of the join.
Joins are one of the most important operation in data analysis, to perform analysis based on multiple data sources.
There are various types of joins; but, sometimes it is confusing to decide which join to be used for a given scenario.
This course explains the 10 types of joins in SQL and their equivalent syntax in python.
Each of them are explained clearly and a coding practice is also performed.
No software setup or costly registration required. All coding practice is performed online.
The SQL coding practice is performed using Oracle Live SQL session; and all the code to set up the tables to practice the joins are shared with this course, To practice python, we use jupyter notebooks.
No prior knowledge is mandatory; If you have previous work experience in SQL or Python, that will be helpful; but, it is not mandatory.
This course will be helpful for computer science students , and also to data analysts. Many of the coding practice scenarios are based on real time work experience and job interview experience, Thus, it will be helpful to boost your career also to next level.
Who this course is for
Data Analysts, Computer Science students.
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