This plan includes
- Limited free courses access
- Play & Pause Course Videos
- Video Recorded Lectures
- Learn on Mobile/PC/Tablet
- Quizzes and Real Projects
- Lifetime Course Certificate
- Email & Chat Support
What you'll learn?
- Using Real World PostgreSQL Database Airlines Database.
- Learn coding in Python by examples.
- How to Use Python & SQL to Analyze and visualize Data.
- Use Python to visualize Postgres Data Output and get your Conclusion about Data.
- Use Python bs4 & Pandas to Scrape a webpage, Analyze and visualize The Scraped Data.
- Use SQL to perform advanced techniques to retrieve data from databases.
- Use Python with SQL Postgres database.
- Use Python to load Postgres Data Output file.
Course Overview
Pre-requisites
- No primer programming experience needed for this course.
- Computer and internet.
- Your enthusiasm to learn Python & SQL For Data Analysis & Data Science.
- Everything else you need to learn Python Programming is already in this course.
Target Audience
- Are you want to learn more about SQL, PostgreSQL, or data analysis using Python & SQL?
- Are you want to learn Python & SQL for data science?
- Are you ready for upcoming Python & SQL interview questions?
- Use Python bs4 & Pandas to Scrape a webpage, Analyze and visualize The Scraped Data.
- Are you welling to learn Python Pandas & Data Visualization?
Curriculum 121 Lectures 00:06:11
-
Section 1 : Python Introduction
- Lecture 2 :
- Environment Preparing for Python
- Lecture 3 :
- Python2 VS Python3
- Lecture 4 :
- Understanding Data Types in Python
-
Section 2 : Python Basics
- Lecture 1 :
- Variables, Operators and Data Types in Python
- Lecture 2 :
- String Functions in Python
- Lecture 3 :
- Data Structures in Python
- Lecture 4 :
- Control Flow VS Loops
- Lecture 5 :
- Error Handling in Python
- Lecture 6 :
- Functions in Python
- Lecture 7 :
- Files and Modules in Python
-
Section 3 : OOP in Python
- Lecture 1 :
- Creating Simple Class.
- Lecture 2 :
- Overviewing Constructor.
- Lecture 3 :
- Learning How to creating Dunder Methods?
- Lecture 4 :
- Learning about Inheritance.
- Lecture 5 :
- Knowing What is the Encapsulation?
- Lecture 6 :
- Learning also about Multiple Inheritance
- Lecture 7 :
- Knowing What is the Overriding?
- Lecture 8 :
- Learning about Decorators.
- Lecture 9 :
- Learning How to use Build in Decorators?
-
Section 4 : Project 1 in Python
- Lecture 1 :
- Project Walk through
- Lecture 2 :
- Project Helpful Notes
- Lecture 3 :
- Project Solution
-
Section 5 : Project 2 in Python
- Lecture 1 :
- Project Walk through
- Lecture 2 :
- Project Helful Notes
- Lecture 3 :
- Project Solution Part 1
- Lecture 4 :
- Project Solution Part 2
-
Section 6 : Project 3 in Python
- Lecture 1 :
- Project Walk Through
- Lecture 2 :
- Project Helpful Notes
- Lecture 3 :
- Project Solution
-
Section 7 : Project 4: Twiter Chat Bot
- Lecture 1 :
- Twiter Chat Bot Part 1
- Lecture 2 :
- Twiter Chat Bot Part 2
- Lecture 3 :
- Twiter Chat Bot Part 3
-
Section 8 : Project 5: Facebook Chat Bot
- Lecture 1 :
- Python Flask Library Overview
- Lecture 2 :
- Facebook Developer App Creating And Downloading Ngrok
- Lecture 3 :
- Facebook Chat App & Preset Messaging
- Lecture 4 :
- Hooking and Runnig The FB ChatBot App Using Ngrok
-
Section 9 : Numpy Python Library
- Lecture 1 :
- Numpy Intro
- Lecture 2 :
- Numpy.shape & Numpy.size
- Lecture 3 :
- Creating Numpy nd arrays using Numpy functions
- Lecture 4 :
- Numpy.unique( ) & Array slicing.
- Lecture 5 :
- Numpy Calculations and Operators.
- Lecture 6 :
- Numpy Aggregations.
- Lecture 7 :
- Numpy Reshape and Transposing.
- Lecture 8 :
- Numpy Comparing.
- Lecture 9 :
- Numpy Images processing.
-
Section 10 : SQL Introduction
- Lecture 1 :
- Introduction
- Lecture 2 :
- PostgreSQL Downloading & Installing
- Lecture 3 :
- Creating Database
- Lecture 4 :
- Restoring Database
-
Section 11 : Airlines Database Overview
- Lecture 1 :
- SQL Database Overview Part 1
- Lecture 2 :
- SQL Database Overview Part 2
- Lecture 3 :
- SQL Data Types
-
Section 12 : SQL Basics Part 1
- Lecture 1 :
- Select Statement
- Lecture 2 :
- Select Challenge Solution
- Lecture 3 :
- Select Statement For all Airlines Database Tables
- Lecture 4 :
- Distinct
-
Section 13 : SQL Basics Part 2
- Lecture 1 :
- Where Clause
- Lecture 2 :
- Operators used with Where Clause
- Lecture 3 :
- Where Clause + AND & Where Clause + OR
- Lecture 4 :
- Where Clause + LIKE
- Lecture 5 :
- (Where Clause + BETWEEN & IN) & AS
-
Section 14 : SQL Basics Part 3
- Lecture 1 :
- LIMIT & ORDER BY
- Lecture 2 :
- FETCH vs LIMIT
- Lecture 3 :
- NOT IN
- Lecture 4 :
- ISNULL & IS NOT NULL
- Lecture 5 :
- CAST
-
Section 15 : SQL Aggregations
- Lecture 1 :
- COUNT() Function, CREATE TABLE & INSERT INTO TABLE
- Lecture 2 :
- SUM() Function
- Lecture 3 :
- MIN(), MAX() & AVG() Functions
- Lecture 4 :
- GROUP BY & HAVING
- Lecture 5 :
- Deep dive in Count
-
Section 16 : SQL Conditional.
- Lecture 1 :
- CASE Clause
- Lecture 2 :
- NULLIF()
- Lecture 3 :
- COALESCE() Function in SQL
-
Section 17 : SQL Time Data Management
- Lecture 1 :
- Overview of Time Functions in PostgreSQL
- Lecture 2 :
- TIMESTAMP EXTRACT()
- Lecture 3 :
- DATE_TRUNC() & DATE_PART()
- Lecture 4 :
- Double Column + DATE IN PostgreSQL & CURRENT_DATE & now( )
-
Section 18 : Intermediate: SQL Joins
- Lecture 1 :
- INNER JOIN
- Lecture 2 :
- Joins Types Overview
- Lecture 3 :
- LEFT OUTER JOIN
- Lecture 4 :
- Deep understanding of LEFT JOIN
- Lecture 5 :
- RIGHT OUTER JOIN
- Lecture 6 :
- FULL OUTER JOIN
- Lecture 7 :
- CROSS JOIN
- Lecture 8 :
- UNION, UNION ALL, INTERSECT & EXCEPT
- Lecture 9 :
- SELF JOIN
- Lecture 10 :
- USING
- Lecture 11 :
- NATURAL JOIN
-
Section 19 : Intermediate: Sub-queries & Common Table Expression in SQL
- Lecture 1 :
- Sub-queries
- Lecture 2 :
- SQL Sub-query + EXISTS, ANY OR ALL
- Lecture 3 :
- Common Table Expression
-
Section 20 : Advanced: PostgreSQL Math & Window functions.
- Lecture 1 :
- Math Functions
- Lecture 2 :
- Window Functions OVER()
- Lecture 3 :
- Window Functions RANK() + OVER() & NTILE() + OVER()
- Lecture 4 :
- Window Functions OVER() + LEAD()
- Lecture 5 :
- Window Functions OVER() + LAG()
-
Section 21 : Advanced: PostgreSQL String Functions
- Lecture 1 :
- PostgreSQL POSITION Function
- Lecture 2 :
- STRPOS() & REPLACE() in PostgreSQL
- Lecture 3 :
- PostgreSQL LEFT(), RIGHT(), BTRIM() & SPLIT_PART() Functions
- Lecture 4 :
- PostgreSQL CONCAT Function
- Lecture 5 :
- PostgreSQL LOWER(), UPPER() & INITCAP() Functions
-
Section 22 : Advanced: Other SQL Functions
- Lecture 1 :
- GROUPING SETS(), ROLLUP(), CUBE()
- Lecture 2 :
- SELECT Statement + INTO & SELECT Statement + INTO + IN
- Lecture 3 :
- VIEW()
-
Section 23 : Data Analysis Process Overview
- Lecture 1 :
- Data Analysis Process Overview
-
Section 24 : Project 6: Using Python Pandas in Data Analysis of PostgreSQL Data output
-
Section 25 : Project 5 Scraping The Web Using Python
- Lecture 1 :
- How to Scrape a website part 1 ??
- Lecture 2 :
- How to Scrape a website part 2 ??
- Lecture 3 :
- Using Pandas and LXML Python Modules to scrape a webpage
-
Section 26 : Project 6 Data Analysis _ Data Visualization of the Scraped Data
- Lecture 1 :
- Data Visualization of the Scraped Data.
-
Section 27 : Project 7 Saving the Scraped data to a newly created Database
- Lecture 1 :
- Save The Scraped Data to a newly created Database
-
Section 28 : Project 8 Google Play Store Data Analysis
- Lecture 1 :
- Exploratory Data Analysis (EDA) of Google App Store Data
- Lecture 2 :
- Resorces
- Lecture 3 :
- Data Visualization Techniques.
- Lecture 4 :
- Statistical Analysis and Hypothesis Testing.
- Lecture 5 :
- Data Storytelling.
- Lecture 6 :
- Conclusion.
-
Section 29 : Project 11: Using Pandas + Automation to Manage a Business Email List
- Lecture 1 :
- Using Pandas + Automation to Manage a Business Email List Part 1
- Lecture 2 :
- Using Pandas + Automation to Manage a Business Email List Part 2
- Lecture 3 :
- Using Pandas + Automation to Manage a Business Email List Part 3
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Frequently Asked Questions
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