PYTHON written like SQL

This is a [Data Analysis, Programming Language] lecture prepared for SQL data analysis beginners. This is a SQL SELECT basic grammar lecture that starts without installing SQL.

This is not a complete list of Google Spreadsheets, but rather a collection of only the things I use to preprocess data in my field.

I wanted to briefly cover the basics of Python through Jupyter Notebook, which allows you to immediately check the results of your coding.

I have summarized the essential SQL SELECT statements and basic usage of Google Sheets that I learned while working as an analyst at a service company.

This is a basic SQL SELECT grammar lecture that starts without installing SQL.

You can quickly convert MATLAB code to PYTHON by extracting only the PYTHON grammar that matches the MATLAB grammar.

This course covers the most important and basic grammar in MATLAB through simple examples, so that even non-computer experts can learn it quickly.

We would like to provide an opportunity to learn SQL, a language used in relational databases, in general. In particular, we wrote the execution examples in the ORACLE environment. The learning content is largely divided into 2 parts and a total of 11 lectures. After learning the entire content, you can cultivate the ability to perform tasks in a database along with the general knowledge of SQL, and you can also prepare for the nationally certified SQL developer qualification.

This course is for those who are learning database programming for the first time or those who have some knowledge but want to learn systematically. From concepts to practical exercises, you will master the database query language by organizing examples of types that frequently occur in real life.

You will learn how to analyze and quickly visualize various types of data using the Python Streamlit library and output it as a web service. You can use it when you want to apply it to your work faster than the existing web development method.

From Java basics to advanced concepts, and Oracle SQL too, Backend web development series with hands-on practice, taught by star instructor Young Cody Kim who explains clearly for non-majors and coding beginners

You will be able to extract the data you want directly without the help of a developer. We will provide everything you need for analysis, from simple queries to joins. Start learning SQL with a direct lecture from the author of the book <Planner's SQL>.

Introduction to SQL Data Analysis! Quick and easy to understand with practical problem solving!

A current database expert from a major global company generously shares 20 years of corporate practice and teaching experience!

By implementing various practical data analysis cases using SQL, you can simultaneously improve your data analysis and SQL utilization skills.

Make the most of relational database systems!

From understanding SQL to using actual functions, Complete preparation for SQLD certification with the latest past exam questions!

★PYTHON★ This is a basic lecture on server development using Fast API. Learn how to develop servers easily, quickly, and conveniently using various packages such as Fast API, SQLAlchemy, Pydantic, and Starlette! Don't worry, we have prepared a DB backup file as well as integration with PostgreSQL! We will teach you the "basics" of UI design using Dash and Plotly and provide the source code used in the lecture :)

This course teaches MS-SQL through baseball/company databases.

If you can master DB and programming, you should be more than halfway prepared for the information processing engineer exam. Let's take a look at the DB and programming parts, which are worth 45 to 55 points in the practical exam, and pass the written exam steadily.

Learn how modern data teams leverage dbt. Build maintainable analytics models and validated data pipelines hands-on. Master core concepts of analytics engineering with a practical focus. This course is for those who want to take their data career to the next level 🚀