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Udemy - SQL for Data Analysis & Data Science

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Udemy - SQL for Data Analysis & Data Science (Size: 2.5 GB)
  1. Bonus Section -Thank You.html 716 B
  1. CASE.mp4 37.5 MB
  1. CASE.srt 4.1 KB
  1. COUNT( ) Function, CREATE TABLE & INSERT INTO TABLE.mp4 26.5 MB
  1. COUNT( ) Function, CREATE TABLE & INSERT INTO TABLE.srt 4.5 KB
  1. Course Introduction.mp4 51.2 MB
  1. Course Introduction.srt 4.8 KB
  1. Data Analysis Process Overview.mp4 31.7 MB
  1. Data Analysis Process Overview.srt 3.4 KB
  1. Database Overview 1.mp4 9.7 MB
  1. Database Overview 1.srt 2.6 KB
  1. Final Exam.html 819 B
  1. GROUPING SETS(), ROLLUP(), CUBE().mp4 50 MB
  1. GROUPING SETS(), ROLLUP(), CUBE().srt 4.8 KB
  1. How to Srcape a website.mp4 141.5 MB
  1. How to Srcape a website.srt 13.1 KB
  1. INNER JOIN.mp4 52 MB
  1. INNER JOIN.srt 6.1 KB
  1. Math Functions.mp4 40.3 MB
  1. Math Functions.srt 3.9 KB
  1. Overview of Time Functions in PostgreSQL.mp4 31 MB
  1. Overview of Time Functions in PostgreSQL.srt 2.1 KB
  1. PostgreSQL POSITION Function.mp4 19.8 MB
  1. PostgreSQL POSITION Function.srt 2.9 KB
  1. PostgreSQl Download & Install.mp4 21.5 MB
  1. PostgreSQl Download & Install.srt 2.8 KB
  1. Python Download & Install.mp4 19.4 MB
  1. Python Download & Install.srt 1.2 KB
  1. SQL Aggregation Challenge.html 512 B
  1. SQL Basics Challenge.html 102 B
  1. SQL Conditional Challenge.html 204 B
  1. SQL Data Types.mp4 10.9 MB
  1. SQL Data Types.srt 1.2 KB
  1. SQL JOINS Challenge.html 102 B
  1. SQL Sub-query CTE Challenge.html 307 B
  1. Sub-queries.mp4 39.2 MB
  1. Sub-queries.srt 5.9 KB
  1. Test You Self (1).html 204 B
  1. Test You Self (2).html 512 B
  1. Test You Self (3).html 716 B
  1. Test You Self (4).html 204 B
  1. Test You Self (5).html 512 B
  1. Test You Self (6).html 307 B
  1. Test You Self (7).html 102 B
  1. Test You Self (8).html 307 B
  1.1 ERD + License.pdf 191.1 KB
  10. LIMIT & ORDER BY.mp4 52.5 MB
  10. LIMIT & ORDER BY.srt 7.4 KB
  10. USING.mp4 22.1 MB
  10. USING.srt 2 KB
  11. FETCH vs LIMIT.mp4 23 MB
  11. FETCH vs LIMIT.srt 2.7 KB
  11. NATURAL JOIN.mp4 15.8 MB
  11. NATURAL JOIN.srt 1.8 KB
  12. (Where Clause + BETWEEN & IN) & AS.mp4 42.8 MB
  12. (Where Clause + BETWEEN & IN) & AS.srt 4.8 KB
  13. NOT IN.mp4 29.2 MB
  13. NOT IN.srt 3.9 KB
  14. ISNULL & IS NOT NULL.mp4 26.2 MB
  14. ISNULL & IS NOT NULL.srt 2.6 KB
  15. CAST.mp4 30.6 MB
  15. CAST.srt 4.1 KB
  2. Create Database.mp4 9.2 MB
  2. Create Database.srt 1.3 KB
  2. Database Overview 2.mp4 20.2 MB
  2. Database Overview 2.srt 4.4 KB
  2. Final Exam Solution.html 4.4 KB
  2. Joins Types.mp4 43.3 MB
  2. Joins Types.srt 10.6 KB
  2. NULLIF().mp4 24.9 MB
  2. NULLIF().srt 3.8 KB
  2. Online jupyter lab.mp4 18.6 MB
  2. Online jupyter lab.srt 1.2 KB
  2. Pandas Methods.mp4 32.6 MB
  2. Pandas Methods.srt 5.3 KB
  2. SELECT Statement + INTO & SELECT Statement + INTO + IN.mp4 35.9 MB
  2. SELECT Statement + INTO & SELECT Statement + INTO + IN.srt 4 KB
  2. SQL Aggregation Challenge Solution.html 1 KB
  2. SQL Basics Challenge Solution.html 204 B
  2. SQL Conditional Challenge Solution.html 819 B
  2. SQL JOINS Challenge Solution.html 204 B
  2. SQL Sub-query + EXISTS OR ANY OR ALL.mp4 89.2 MB
  2. SQL Sub-query + EXISTS OR ANY OR ALL.srt 8.6 KB
  2. SQL Sub-query CTE Challenge Solution.html 1.1 KB
  2. STRPOS() & REPLACE() in PostgreSQL.mp4 34.9 MB
  2. STRPOS() & REPLACE() in PostgreSQL.srt 3.9 KB
  2. SUM( ) Function.mp4 7.9 MB
  2. SUM( ) Function.srt 1.1 KB
  2. Scrape a webpage using Pandas and LXML Python Modules.mp4 43 MB
  2. Scrape a webpage using Pandas and LXML Python Modules.srt 4.1 KB
  2. Select Statement.mp4 37.4 MB
  2. Select Statement.srt 5.7 KB
  2. TIMESTAMP EXTRACT().mp4 25.7 MB
  2. TIMESTAMP EXTRACT().srt 2.8 KB
  2. Test You Self (1) Solution.html 1.2 KB
  2. Test You Self (2) Solution.html 716 B
  2. Test You Self (3) solution.html 1.2 KB
  2. Test You Self (4) solution.html 819 B
  2. Test You Self (5) solution.html 1.6 KB
  2. Test You Self (6) solution.html 614 B
  2. Test You Self (7) Solution.html 716 B
  2. Test You Self (8) solution.html 716 B
  2. Window Functions OVER().mp4 26.6 MB
  2. Window Functions OVER().srt 3 KB
  2.1 ERD + License.pdf 191.1 KB
  2.1 JOINS.pdf 1.4 MB
  3. COALESCE() Function in SQL.mp4 23.7 MB
  3. COALESCE() Function in SQL.srt 2.5 KB
  3. Common Table Expression.mp4 60.3 MB
  3. Common Table Expression.srt 8.1 KB
  3. DATE_TRUNC() & DATE_PART().mp4 36.7 MB
  3. DATE_TRUNC() & DATE_PART().srt 7.3 KB
  3. LEFT OUTER JOIN.mp4 29.4 MB
  3. LEFT OUTER JOIN.srt 3.9 KB
  3. MIN( ) , MAX( ) & AVG( ) Functions.mp4 12.1 MB
  3. MIN( ) , MAX( ) & AVG( ) Functions.srt 2.1 KB
  3. Pandas Data Analysis.mp4 18.9 MB
  3. Pandas Data Analysis.srt 4.1 KB
  3. PostgreSQL LEFT(), RIGHT(), BTRIM() & SPLIT_PART() Functions.mp4 38.3 MB
  3. PostgreSQL LEFT(), RIGHT(), BTRIM() & SPLIT_PART() Functions.srt 5 KB
  3. Restore Database.mp4 12.8 MB
  3. Restore Database.srt 1.2 KB
  3. Select Challenge Solution.mp4 19.5 MB
  3. Select Challenge Solution.srt 2.5 KB
  3. Using CMD & Python Pip.PyPi to Install Jupyter Lab & Pandas.mp4 23.5 MB
  3. Using CMD & Python Pip.PyPi to Install Jupyter Lab & Pandas.srt 1.4 KB
  3. VIEW().mp4 28.8 MB
  3. VIEW().srt 4.1 KB
  3. Visualization of the Scarped Data.mp4 51.1 MB
  3. Visualization of the Scarped Data.srt 5.5 KB
  3. Window Functions RANK() + OVER() & NTILE() + OVER().mp4 68.6 MB
  3. Window Functions RANK() + OVER() & NTILE() + OVER().srt 4.7 KB
  3.1 ERD + License.pdf 191.1 KB
  3.2 Airlines.sql 99.1 MB
  4. DATE IN PostgreSQL & CURRENT_DATE & now( ).mp4 20.3 MB
  4. DATE IN PostgreSQL & CURRENT_DATE & now( ).srt 3.4 KB
  4. Deep understanding of LEFT JOIN.mp4 24.8 MB
  4. Deep understanding of LEFT JOIN.srt 3 KB
  4. GROUP BY & HAVING.mp4 15.6 MB
  4. GROUP BY & HAVING.srt 2.1 KB
  4. Jupyter Commands.html 2.7 KB
  4. Pandas data visualization.mp4 51.4 MB
  4. Pandas data visualization.srt 8.1 KB
  4. PostgreSQL CONCAT Function.mp4 33.2 MB
  4. PostgreSQL CONCAT Function.srt 3.2 KB
  4. Save The Scraped Data to a Database.mp4 50 MB
  4. Save The Scraped Data to a Database.srt 6.8 KB
  4. Select Statement For all Airlines Database Tables.mp4 30.1 MB
  4. Select Statement For all Airlines Database Tables.srt 1.7 KB
  4. Window Functions OVER() + LEAD().mp4 43.5 MB
  4. Window Functions OVER() + LEAD().srt 5.1 KB
  5. Distinct.mp4 12.7 MB
  5. Distinct.srt 1.7 KB
  5. PostgreSQL LOWER(), UPPER() & INITCAP() Functions.mp4 37.6 MB
  5. PostgreSQL LOWER(), UPPER() & INITCAP() Functions.srt 3.3 KB
  5. RIGHT OUTER JOIN.mp4 22.1 MB
  5. RIGHT OUTER JOIN.srt 3 KB
  5. Sampling Error.mp4 23.8 MB
  5. Sampling Error.srt 4 KB
  5. Using Python to load and querying PostgreSQL Database.mp4 25.2 MB
  5. Using Python to load and querying PostgreSQL Database.srt 2.4 KB
  5. Window Functions OVER() + LAG().mp4 31.2 MB
  5. Window Functions OVER() + LAG().srt 3.9 KB
  6. FULL OUTER JOIN.mp4 40.4 MB
  6. FULL OUTER JOIN.srt 5.2 KB
  6. Runnig SQL Query Using Python Panadas Module.mp4 34.2 MB
  6. Runnig SQL Query Using Python Panadas Module.srt 5.2 KB
  6. Where Clause.mp4 49.2 MB
  6. Where Clause.srt 6.8 KB
  7. CROSS JOIN.mp4 20.8 MB
  7. CROSS JOIN.srt 2.2 KB
  7. Operators used with Where Clause.mp4 32.4 MB
  7. Operators used with Where Clause.srt 4.3 KB
  7. Using Python Pandas Package to load PostgreSQL the Data Output file.mp4 79.5 MB
  7. Using Python Pandas Package to load PostgreSQL the Data Output file.srt 7.3 KB
  8. UNION, UNION ALL, INTERSECT & EXCEPT.mp4 38.8 MB
  8. UNION, UNION ALL, INTERSECT & EXCEPT.srt 5.5 KB
  8. Where Clause + AND & Where Clause + OR.mp4 21 MB
  8. Where Clause + AND & Where Clause + OR.srt 3.4 KB
  9. SELF JOIN.mp4 19.2 MB
  9. SELF JOIN.srt 2.5 KB
  9. Where Clause + LIKE.mp4 30.5 MB
  9. Where Clause + LIKE.srt 5.1 KB
  TutsNode.com.txt 102 B
  [TGx]Downloaded from torrentgalaxy.to .txt 614 B
  ▲ 185 total files

Description



Description

This course will make you SQL query expert it’s a complete SQL boot camp and, You’ll learn the skills you need to retrieve insightful data from a database. There are many test your self quizzes distributed over the course the course with detailed solutions so you to practice more and more . After completing this course and all of it’s quizzes and the Final exam, you will be comfortable with using SQL & PostgreSQL in data analysis and data science by SQL Challenge Final Exam and more

You will learn many tips and tricks in PostgreSQL to query data through the following Topics covered in this course:

Using Real World PostgreSQL Database Airlines Database.

What is a Database
SQL database for beginners.
Installing PostgreSQL database.
Creating Tables in database using SQL.
Drop table from SQL database
SELECT Statement use with SQL database data querying
WHERE Clause use with SQL database data querying
Operators used with Where clause in SQL database data querying .
AND & OR use with SQL database data querying
like use with SQL database data querying .
Filtering Operators use with SQL database data querying .
ORDER BY use with SQL database data querying .
LIMIT use with SQL database data querying .
DISTINCT use with SQL database data querying .
Renaming Column in SQL database.
Functions use with SQL database data querying .
GROUP BY & HAVING Clauses use with database data querying .
Aggregation Queries in SQL database.
Table Joins in SQL database.
INNER and OUTER Joins in SQL database.
UNION, UNION ALL, INTERSECT and EXCEPT Clauses use with SQL database data querying.
Sub-queries use with SQL database data querying .
Correlated Sub queries use with SQL database data querying.
CASE Clause use with database data querying .
Time & date data in SQL in database.
Using Python with SQL Postgres database.
Using Python to load Postgres Data Output file.
Using Python Pandas to Analyze and visualize Postgres Data Output.
Window Functions for Analytics in SQL database.
Test Your Self SQL Quizzes distributed throughout this course.
Challenges for more SQL practice in this course.
Final Exam in SQL database data querying.

Who this course is for:

Are you want to learn more about SQL, PostgreSQL, or data analysis using SQL?
Are you want to learn SQL for data science?
Are you welling to learn Python Pandas & Data Visualization?
Are you ready for upcoming SQL interview questions?
Use Python bs4 & Pandas to Scrape a webpage, Analyze and visualize The Scraped Data.

Requirements

Computer and internet.
No prior knowledge required for this course

Last Updated 11/2020

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