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This video on SQL with Python will help you understand Python database connectivity. You will learn to connect a MySQL database with Python Jupyter Notebook. You will see how to write user-defined functions to create server connection, create a database and execute queries. In this SQL tutorial for beginners video, we'll explore some of the most crucial SQL commands using Python programming.
00:00:00 Introduction to SQL With Python
00:01:22 Import Libraries to Jupyter Notebook
00:02:13 Define Server Connection in Jupyter Notebook
00:07:45 Create MySQL Python
00:12:50 Verify connection
00:13:19 Connect Database
00:16:35 Execute SQL Queries
00:19:07 Create Database
00:24:54 Insert Records in Database
00:28:38 Read Queries and Display Results
00:30:30 DDL and DML Commands (SELECT / HAVING / WHERE / ORDER / UPDATE / DELETE / GROUP BY)
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What is SQL?
SQL is a Structured Query Language to communicate with relational databases. Some of the popular databases available are MySQL, Oracle, MS SQL Server, and PostgreSQL. Using SQL with Python, you can store, retrieve, update, delete and manipulate data. You can permit users to perform specific tasks on tables, procedures, and views.
➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.
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Post Graduate Program certificate and Alumni Association membership
Exclusive hackathons and Ask me Anything sessions by IBM
8X higher live interaction in live online classes by industry experts
Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
Master Classes delivered by Purdue faculty and IBM experts
Simplilearn's JobAssist helps you get noticed by top hiring companies
Resume preparation and LinkedIn profile building
1:1 mock interview
Career accelerator webinars
✅ Skills Covered
Data Analytics
Statistical Analysis using Excel
Data Analysis Python and R
Data Visualization Tableau and Power BI
Linear and logistic regression modules
Clustering using kmeans
Supervised Learning
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