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[Renewed] Python Machine Learning Bootcamp for Beginners (Easy! Learn by Solving Real Kaggle Problems) [Data Analysis/Science Part2]

Based on the instructor's own failed experiences when first learning machine learning, this is a newly designed course that differs from existing lectures, making it easy to understand machine learning and apply it to real-world problems

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Machine Learning(ML)
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Python

Intermediate-Advanced SQL and Practical Data Analysis 101 Problem Solving Online Lecture Open

Hello, this is Dave Lee from Janjaemi Coding.

This time, we are sharing a new lecture that we opened on Infraon.

 

This course is designed to help you learn intermediate and advanced SQL grammar that can be used immediately in the workplace, and to strengthen your practical skills through solving various problems using actual business data. We have reconstructed the online course by including only the core contents that received good feedback from students in the data analysis boot camp and offline lectures conducted over the years. Since most of the existing students have improved their skills to the point where they can immediately perform real-world projects as data experts, it will be of great help to those who want to improve their practical SQL skills.

We opened at a low price so that many people can take the course without burden, and we also applied a 30% discount to commemorate the opening.

 

Recommended for:

- People who want to learn SQL data analysis in the field

- Those who want to develop solid SQL skills

- People who want to solve various problems in preparation for SQL coding tests

- For those who want to solidify SQL for advanced development

Advantages of the course:

- Acquire intermediate to advanced SQL grammar

- Learn various intermediate to advanced SQL grammar, including function utilization, subqueries, set operations, transactions, VIEW and WITH clauses, and window functions.

- Strengthening capabilities through practical problems

- Develop problem-solving skills by combining various SQL grammars through a total of 101 practical problems .

- Practice writing queries, starting from simple one-line queries to complex queries of nearly 100 lines.

This will help you acquire the level of SQL data analysis skills required in the field, and will also be of great help in preparing for SQL coding tests.

 

The most widely used data analysis technology in the field is SQL . This is because in order to efficiently handle large amounts of data, SQL is often used to directly analyze the database.

This lecture has been added to the fastest data full course roadmap (https://www.inflearn.com/roadmaps/66) roadmap to help you further strengthen your capabilities as a data analyst and scientist. As it has been added to the roadmap, we have also applied a discount so that you can purchase related lectures at a discounted price.

 

If you take this lecture after taking the lecture below, you can further solidify your SQL skills.

I hope that this lecture and its related roadmap will be helpful to those who are learning about the data field and will be a great help in achieving your goals.

thank you

Remnant fun coding Dave Lee Dream

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