SQL Course 2024: SQL for Data Analysis and Data Science.
Master the Art of SQL Querying and PostgreSQL for Data Analysis and Data Science An using Real World SQL Database.
4.06 (1072 reviews)
128 142
students
5.5 hours
content
May 2025
last update
$49.99
regular price
What you will learn
Using Real World PostgreSQL Database Airlines Database.
Use Python Pandas to Analyze and visualize Postgres Data Output.
SQL Test Your Self, SQL Challenges, SQL Final Exam and more
Use Python to visualize Postgres Data Output and get your Conclusion about Data.
Use SQL to create databases.
Use Python bs4 & Pandas to Scrape a webpage, Analyze and visualize The Scraped Data.
Use SQL to insert data into a table.
Use SQL to Query & retrieve data from databases.
Use SQL to Sort records after retrieving from databases.
Use SQL to Group data by specific conditions.
Use SQL to Filter data by using where clause.
How & when to use Joins types in SQL.
How to create and deal with Sub-queries in SQL.
How to create and deal with common table expression in SQL.
Use SQL to perform data analysis of real world databases
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.
Apply what you will learn in Python & SQL through exercises.
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Our Verdict
SQL Course 2024: SQL for Data Analysis and Data Science demonstrates a robust curriculum structured to cater to various skill levels. Despite occasional drawbacks tied to language proficiency and audio issues, the course's engaging design, real-world examples, hands-on Python integration, and comprehensive range of fundamentals through intricacies provide excellent value—empowering learners to enhance their SQL skills for effective data analysis.
What We Liked
- Designed for both beginners and experts, this course offers a comprehensive exploration of SQL for data analysis and data science using PostgreSQL.
- Expertly crafted modules progress from basics to advanced techniques, ensuring maximum comprehension.
- Rich content with real-life examples, activities, and datasets create an engaging learning experience.
- Hands-on Python integration simplifies SQL result analysis and encourages practical application.
Potential Drawbacks
- Audio quality and pronunciation occasionally detract from the overall delivery of course materials.
- Lack of focus on using Python for interactions between PostgreSQL and data analysis may leave some learners desiring additional content.
- Real-world Airlines Database schema unfamiliarity could pose challenges during join operations, causing temporary confusion but ultimately contributing to mastery.
- A few instances of audio quality issues might negatively impact the learning experience in otherwise informative videos.
Related Topics
3477148
udemy ID
05/09/2020
course created date
04/11/2020
course indexed date
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